PUBLICACIÓN

AI-driven meta-model for cybersecurity in next-generation networks using multilayer Extreme Learning Machine

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ACCEDER A LA PUBLICACIÓN: Scopus

Calle-Cancho J.; Galeano-Brajones J.; Cortes-Polo D.; Paoletti M.E.; Haut J.M.

2026 Array

CITAS

0

DOI

10.1016/j.array.2026.100707

EID

2-s2.0-105030093231

EISSN

2590-0056

AUTORES DE LA UEX

David Miguel Cortés Polo
Mercedes Eugenia Paoletti Ávila
Juan Mario Haut Hurtado

OTRAS PUBLICACIONES DE INTERÉS

Performance Evaluation And Analytical Study Of The Effects Among Wireless Technologies
Transformer-Based Network For Enhanced Wireless Service Differentiation In 6g
A Physics-Guided Diffusion Unmixing Model For Global Lunar Mineral Abundance Mapping
Transformer-Based Network For Enhanced Wireless Service Differentiation In 6g
A Physics-Guided Diffusion Unmixing Model For Global Lunar Mineral Abundance Mapping
Ai-Driven Meta-Model For Cybersecurity In Next-Generation Networks Using Multilayer Extreme Learning Machine
A Physics-Guided Diffusion Unmixing Model For Global Lunar Mineral Abundance Mapping
Ai-Driven Meta-Model For Cybersecurity In Next-Generation Networks Using Multilayer Extreme Learning Machine
Landscape-Enabled Algorithmic Design For The Cell Switch-Off Problem In 5g Ultra-Dense Networks
Ai-Driven Meta-Model For Cybersecurity In Next-Generation Networks Using Multilayer Extreme Learning Machine
Landscape-Enabled Algorithmic Design For The Cell Switch-Off Problem In 5g Ultra-Dense Networks
Optimizing Load-Balanced Resource Allocation In Next-Generation Mobile Networks: A Parallelized Multi-Objective Approach
Landscape-Enabled Algorithmic Design For The Cell Switch-Off Problem In 5g Ultra-Dense Networks
Optimizing Load-Balanced Resource Allocation In Next-Generation Mobile Networks: A Parallelized Multi-Objective Approach
Cerebral Ischemia Detection Using Deep Learning Techniques
Optimizing Load-Balanced Resource Allocation In Next-Generation Mobile Networks: A Parallelized Multi-Objective Approach
Cerebral Ischemia Detection Using Deep Learning Techniques
Leveraging Opensimmpls: A Simulation Platform For Gos/mpls Networks In Research And Education
Cerebral Ischemia Detection Using Deep Learning Techniques
Leveraging Opensimmpls: A Simulation Platform For Gos/mpls Networks In Research And Education
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
Leveraging Opensimmpls: A Simulation Platform For Gos/mpls Networks In Research And Education
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
Improving 5 G Base Station Placement Through Precise Rooftop Detection Using Super-Resolution Diffusion Models And Satellite Image Analysis
Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
Improving 5 G Base Station Placement Through Precise Rooftop Detection Using Super-Resolution Diffusion Models And Satellite Image Analysis
A Novel Spectral-Spatial Attention Network For Zero-Shot Pansharpening
Improving 5 G Base Station Placement Through Precise Rooftop Detection Using Super-Resolution Diffusion Models And Satellite Image Analysis
A Novel Spectral-Spatial Attention Network For Zero-Shot Pansharpening
Pidlf+: A Novel Adaptive Pidlf For Forestry Height Mapping Based On Single Baseline Polinsar Data
A Novel Spectral-Spatial Attention Network For Zero-Shot Pansharpening
Pidlf+: A Novel Adaptive Pidlf For Forestry Height Mapping Based On Single Baseline Polinsar Data
Network Traffic Classification Through High-Order L-Moments And Multi-Objective Optimization
Pidlf+: A Novel Adaptive Pidlf For Forestry Height Mapping Based On Single Baseline Polinsar Data
Network Traffic Classification Through High-Order L-Moments And Multi-Objective Optimization
Leveraging L-Moments To Characterize Traffic Behavior In 4g And 5g Networks
Network Traffic Classification Through High-Order L-Moments And Multi-Objective Optimization
Leveraging L-Moments To Characterize Traffic Behavior In 4g And 5g Networks
Tackling The 5g Cell Switch-Off As A Sparse Multi-Objective Optimization Problem: A Comparison Of The State-Of-The-Art
Leveraging L-Moments To Characterize Traffic Behavior In 4g And 5g Networks
Tackling The 5g Cell Switch-Off As A Sparse Multi-Objective Optimization Problem: A Comparison Of The State-Of-The-Art
Technology Courses For Non-Stem Degrees: A Project-Based Learning Case Study
Tackling The 5g Cell Switch-Off As A Sparse Multi-Objective Optimization Problem: A Comparison Of The State-Of-The-Art
Technology Courses For Non-Stem Degrees: A Project-Based Learning Case Study
River Ice Monitoring From Optical And Sar Remote Sensing Perspective: Advances, Challenges And Opportunities
Technology Courses For Non-Stem Degrees: A Project-Based Learning Case Study
River Ice Monitoring From Optical And Sar Remote Sensing Perspective: Advances, Challenges And Opportunities
Arquitectura Para El Slicing Dinámico En Redes Privadas 5g
River Ice Monitoring From Optical And Sar Remote Sensing Perspective: Advances, Challenges And Opportunities
Arquitectura Para El Slicing Dinámico En Redes Privadas 5g
Integration Of Scenario-Based Learning In Cybertomp With Fleco Studio: Enhancing Situational Awareness Training In Cybersecurity
Arquitectura Para El Slicing Dinámico En Redes Privadas 5g
Integration Of Scenario-Based Learning In Cybertomp With Fleco Studio: Enhancing Situational Awareness Training In Cybersecurity
Densemixermamba: Residual Mixing For Spectral-Spatial Hyperspectral Image Classification
Integration Of Scenario-Based Learning In Cybertomp With Fleco Studio: Enhancing Situational Awareness Training In Cybersecurity
Densemixermamba: Residual Mixing For Spectral-Spatial Hyperspectral Image Classification
Sdn-Based Slicing Testbed For 5g Networks
Densemixermamba: Residual Mixing For Spectral-Spatial Hyperspectral Image Classification
Sdn-Based Slicing Testbed For 5g Networks
Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
Sdn-Based Slicing Testbed For 5g Networks
Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Distributed Parallel Hyperspectral Unmixing For Large-Scale Data In Spark Environments Via Geometric Distance
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Detection And Mitigation Of Security Threats Using Virtualized Network Functions In Software-Defined Networks
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Detection And Mitigation Of Security Threats Using Virtualized Network Functions In Software-Defined Networks
A Biobjective Mixed Integer Nonlinear Programming Model For The Cell Switch-Off Problem Considering Quality Of Service And Energy Consumption
Detection And Mitigation Of Security Threats Using Virtualized Network Functions In Software-Defined Networks
A Biobjective Mixed Integer Nonlinear Programming Model For The Cell Switch-Off Problem Considering Quality Of Service And Energy Consumption
Prediction Of Optimal Locations For 5g Base Stations In Urban Environments Using Neural Networks And Satellite Image Analysis
A Biobjective Mixed Integer Nonlinear Programming Model For The Cell Switch-Off Problem Considering Quality Of Service And Energy Consumption
Prediction Of Optimal Locations For 5g Base Stations In Urban Environments Using Neural Networks And Satellite Image Analysis
Federated Learning Meets Remote Sensing
Prediction Of Optimal Locations For 5g Base Stations In Urban Environments Using Neural Networks And Satellite Image Analysis
Federated Learning Meets Remote Sensing
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Federated Learning Meets Remote Sensing
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Hash-Based Remote Sensing Image Retrieval
Joint-Learning-Based Coded Aperture Compressive Temporal Imaging
Hash-Based Remote Sensing Image Retrieval
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
Hash-Based Remote Sensing Image Retrieval
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
Analysis And Detection Of Melanoma Through Collective Intelligence With Ai
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
Analysis And Detection Of Melanoma Through Collective Intelligence With Ai
Fleco: A Tool To Boost The Adoption Of Holistic Cybersecurity Management[Formula Presented]
Analysis And Detection Of Melanoma Through Collective Intelligence With Ai
Fleco: A Tool To Boost The Adoption Of Holistic Cybersecurity Management[Formula Presented]
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Fleco: A Tool To Boost The Adoption Of Holistic Cybersecurity Management[Formula Presented]
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Decentralized Mechanism For Edge Node Allocation In Access Network: An Experimental Evaluation
An Abundance-Guided Attention Network For Hyperspectral Unmixing
Decentralized Mechanism For Edge Node Allocation In Access Network: An Experimental Evaluation
Graph Convolutional Network With Relaxed Collaborative Representation For Hyperspectral Image Classification
Decentralized Mechanism For Edge Node Allocation In Access Network: An Experimental Evaluation
Graph Convolutional Network With Relaxed Collaborative Representation For Hyperspectral Image Classification
Deep Robust Hashing Using Self-Distillation For Remote Sensing Image Retrieval
Graph Convolutional Network With Relaxed Collaborative Representation For Hyperspectral Image Classification
Deep Robust Hashing Using Self-Distillation For Remote Sensing Image Retrieval
Correlation-Aware Averaging For Federated Learning In Remote Sensing Data Classification
Deep Robust Hashing Using Self-Distillation For Remote Sensing Image Retrieval
Correlation-Aware Averaging For Federated Learning In Remote Sensing Data Classification
Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
Correlation-Aware Averaging For Federated Learning In Remote Sensing Data Classification
Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
Deep Shared Proxy Construction Hashing For Cross-Modal Remote Sensing Image Fast Target Retrieval
Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
Deep Shared Proxy Construction Hashing For Cross-Modal Remote Sensing Image Fast Target Retrieval
Applying Evolutionary Algorithms For Cell Switch-Off To Reduce Network Energy Consumption
Deep Shared Proxy Construction Hashing For Cross-Modal Remote Sensing Image Fast Target Retrieval
Applying Evolutionary Algorithms For Cell Switch-Off To Reduce Network Energy Consumption
Transformer-Enhanced Cnn Based On Intensive Feature For Hyperspectral Unmixing
Applying Evolutionary Algorithms For Cell Switch-Off To Reduce Network Energy Consumption
Transformer-Enhanced Cnn Based On Intensive Feature For Hyperspectral Unmixing
Synergy Of Images: Multi-Image Fusion Empowering Super-Resolution In Remote Sensing
Transformer-Enhanced Cnn Based On Intensive Feature For Hyperspectral Unmixing
Synergy Of Images: Multi-Image Fusion Empowering Super-Resolution In Remote Sensing
Information Theory Based Clustering Of Cellular Network Usage Data For The Identification Of Representative Urban Areas
Synergy Of Images: Multi-Image Fusion Empowering Super-Resolution In Remote Sensing
Information Theory Based Clustering Of Cellular Network Usage Data For The Identification Of Representative Urban Areas
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Information Theory Based Clustering Of Cellular Network Usage Data For The Identification Of Representative Urban Areas
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Enhancing Distributed Neural Network Training Through Node-Based Communications
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Enhancing Distributed Neural Network Training Through Node-Based Communications
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Enhancing Distributed Neural Network Training Through Node-Based Communications
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Enhancing Programmability In Next-Generation Networks: An Innovative Simulation Approach
Cloud-Based Analysis Of Large-Scale Hyperspectral Imagery For Oil Spill Detection
Enhancing Programmability In Next-Generation Networks: An Innovative Simulation Approach
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
Enhancing Programmability In Next-Generation Networks: An Innovative Simulation Approach
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
Fast, Lightweight, And Efficient Cybersecurity Optimization For Tactical–operational Management
Hashing For Retrieving Long-Tailed Distributed Remote Sensing Images
Fast, Lightweight, And Efficient Cybersecurity Optimization For Tactical–operational Management
A Comprehensive Survey Of Imbalance Correction Techniques For Hyperspectral Data Classification
Fast, Lightweight, And Efficient Cybersecurity Optimization For Tactical–operational Management
A Comprehensive Survey Of Imbalance Correction Techniques For Hyperspectral Data Classification
Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification
A Comprehensive Survey Of Imbalance Correction Techniques For Hyperspectral Data Classification
Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification
Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
Aatt-Cnn: Automatic Attention-Based Convolutional Neural Networks For Hyperspectral Image Classification
Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
Orthogonal Projection For Anomaly Detection In Networking Datasets
Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
Orthogonal Projection For Anomaly Detection In Networking Datasets
Designing Problem-Specific Operators For Solving The Cell Switch-Off Problem In Ultra-Dense 5g Networks With Hybrid Moeas
Orthogonal Projection For Anomaly Detection In Networking Datasets
Designing Problem-Specific Operators For Solving The Cell Switch-Off Problem In Ultra-Dense 5g Networks With Hybrid Moeas
Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
Designing Problem-Specific Operators For Solving The Cell Switch-Off Problem In Ultra-Dense 5g Networks With Hybrid Moeas
Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification
Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification
Bitrate Analysis In 5g Networks For Video Streaming Services Using L-Moment Ratio Diagrams
Parameter-Free Attention Network For Spectral-Spatial Hyperspectral Image Classification
Bitrate Analysis In 5g Networks For Video Streaming Services Using L-Moment Ratio Diagrams
Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
Bitrate Analysis In 5g Networks For Video Streaming Services Using L-Moment Ratio Diagrams
Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
Boosting Holistic Cybersecurity Awareness With Outsourced Wide-Scope Cybersoc: A Generalization From A Spanish Public Organization Study
Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
Boosting Holistic Cybersecurity Awareness With Outsourced Wide-Scope Cybersoc: A Generalization From A Spanish Public Organization Study
Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection
Boosting Holistic Cybersecurity Awareness With Outsourced Wide-Scope Cybersoc: A Generalization From A Spanish Public Organization Study
Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
Background-Guided Deformable Convolutional Autoencoder For Hyperspectral Anomaly Detection
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
A Novel Approach For Flow Analysis In Software-Based Networks Using L-Moments Theory
Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
A Novel Approach For Flow Analysis In Software-Based Networks Using L-Moments Theory
Cybertomp: A Novel Systematic Framework To Manage Asset-Focused Cybersecurity From Tactical And Operational Levels
A Novel Approach For Flow Analysis In Software-Based Networks Using L-Moments Theory
Cybertomp: A Novel Systematic Framework To Manage Asset-Focused Cybersecurity From Tactical And Operational Levels
Chained Orchestrator Algorithm For Ran-Slicing Resource Management: A Contribution To Ultra-Reliable 6g Communications
Cybertomp: A Novel Systematic Framework To Manage Asset-Focused Cybersecurity From Tactical And Operational Levels
Chained Orchestrator Algorithm For Ran-Slicing Resource Management: A Contribution To Ultra-Reliable 6g Communications
A Novel Link-Network Assignment To Improve The Performance Of Mobility Management Protocols In Future Mobile Networks
Chained Orchestrator Algorithm For Ran-Slicing Resource Management: A Contribution To Ultra-Reliable 6g Communications
A Novel Link-Network Assignment To Improve The Performance Of Mobility Management Protocols In Future Mobile Networks
Is Nsga-Ii Ready For Large-Scale Multi-Objective Optimization?
A Novel Link-Network Assignment To Improve The Performance Of Mobility Management Protocols In Future Mobile Networks
Is Nsga-Ii Ready For Large-Scale Multi-Objective Optimization?
Machine Learning In Pansharpening: A Benchmark, From Shallow To Deep Networks
Is Nsga-Ii Ready For Large-Scale Multi-Objective Optimization?
Machine Learning In Pansharpening: A Benchmark, From Shallow To Deep Networks
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
Machine Learning In Pansharpening: A Benchmark, From Shallow To Deep Networks
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
Pycircularstats: A Python-Based Tool For Remote Sensing Circular Statistics And Graphical Analysis
Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
A New 3d Convolution Network For Hyperspectral Unmixing
Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
A New 3d Convolution Network For Hyperspectral Unmixing
Bi-Dimensional Vector Data Analysis Of Positional Accuracy Of Landsat-8 Image With Pycircularstats
A New 3d Convolution Network For Hyperspectral Unmixing
Bi-Dimensional Vector Data Analysis Of Positional Accuracy Of Landsat-8 Image With Pycircularstats
Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
Bi-Dimensional Vector Data Analysis Of Positional Accuracy Of Landsat-8 Image With Pycircularstats
Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
A New Deep Convolutional Network For Effective Hyperspectral Unmixing
Deep Attention-Driven Hsi Scene Classification Based On Inverted Dot-Product
A New Deep Convolutional Network For Effective Hyperspectral Unmixing
On Training Set Selection In Spatial Deep Learning
A New Deep Convolutional Network For Effective Hyperspectral Unmixing
On Training Set Selection In Spatial Deep Learning
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
On Training Set Selection In Spatial Deep Learning
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Fast Orthogonal Projection For Hyperspectral Unmixing
Remote Sensing Image Classification Using Cnns With Balanced Gradient For Distributed Heterogeneous Computing
Fast Orthogonal Projection For Hyperspectral Unmixing
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
Fast Orthogonal Projection For Hyperspectral Unmixing
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Endmember Estimation From Hyperspectral Images Using Geometric Distances
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Separable Attention Network In Single- And Mixed-Precision Floating Point For Land-Cover Classification Of Remote Sensing Images
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Generative Adversarial Minority Oversampling For Spectral-Spatial Hyperspectral Image Classification
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Binary Particle Swarm Optimization For Selective Cell Switch-Off In Ultra-Dense 5g Networks
Gpu-Friendly Neural Networks For Remote Sensing Scene Classification
Binary Particle Swarm Optimization For Selective Cell Switch-Off In Ultra-Dense 5g Networks
A Quantitative And Comparative Evaluation Of Key Points Selection Algorithms For Mobile Network Data Sets Analysis
Binary Particle Swarm Optimization For Selective Cell Switch-Off In Ultra-Dense 5g Networks
A Quantitative And Comparative Evaluation Of Key Points Selection Algorithms For Mobile Network Data Sets Analysis
Despliegue De Técnicas Sdnfv Para La Detección, Gestión Y Mitigación De Amenazas A La Seguridad De Centros De Supercomputación (Hpc)
A Quantitative And Comparative Evaluation Of Key Points Selection Algorithms For Mobile Network Data Sets Analysis
Despliegue De Técnicas Sdnfv Para La Detección, Gestión Y Mitigación De Amenazas A La Seguridad De Centros De Supercomputación (Hpc)
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Despliegue De Técnicas Sdnfv Para La Detección, Gestión Y Mitigación De Amenazas A La Seguridad De Centros De Supercomputación (Hpc)
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Ghostnet For Hyperspectral Image Classification
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Ghostnet For Hyperspectral Image Classification
Adaptable Convolutional Network For Hyperspectral Image Classification
Ghostnet For Hyperspectral Image Classification
Adaptable Convolutional Network For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Adaptable Convolutional Network For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Deep Mixed Precision For Hyperspectral Image Classification
Distributed Deep Learning For Remote Sensing Data Interpretation
Deep Mixed Precision For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Deep Mixed Precision For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Heterogeneous Model Parallelism For Deep Neural Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Heterogeneous Model Parallelism For Deep Neural Networks
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
Heterogeneous Model Parallelism For Deep Neural Networks
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
Multibranch Selective Kernel Networks For Hyperspectral Image Classification
A Recommendation System For Electronic Health Records In The Context Of The Hope Project
Multibranch Selective Kernel Networks For Hyperspectral Image Classification
A New Max-Min Convolutional Network For Hyperspectral Image Classification
Multibranch Selective Kernel Networks For Hyperspectral Image Classification
A New Max-Min Convolutional Network For Hyperspectral Image Classification
Endmember Estimation With Maximum Distance Analysis
A New Max-Min Convolutional Network For Hyperspectral Image Classification
Endmember Estimation With Maximum Distance Analysis
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Endmember Estimation With Maximum Distance Analysis
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Adapting Kernels For Hyperspectral Image Classification
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
Adapting Kernels For Hyperspectral Image Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
Adapting Kernels For Hyperspectral Image Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Morphological Convolutional Neural Networks For Hyperspectral Image Classification
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Analysis Of Remotely Sensed Images Through Social Media
Sicodef² Net: Siamese Convolution Deconvolution Feature Fusion Network For One-Shot Classification
Analysis Of Remotely Sensed Images Through Social Media
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Analysis Of Remotely Sensed Images Through Social Media
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Studying The Students' Learning In Lot@uned
On The Evaluation Of Machine Learning Algorithms For Hyperspectral Image Classification On A Heterogeneous Computing Device
Studying The Students' Learning In Lot@uned
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Studying The Students' Learning In Lot@uned
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Planificaciones De Enlace Basadas En Estimación Del Canal Aplicadas A 5g
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Planificaciones De Enlace Basadas En Estimación Del Canal Aplicadas A 5g
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Planificaciones De Enlace Basadas En Estimación Del Canal Aplicadas A 5g
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
A Methodology For Network Analysis To Improve The Cyber-Physicals Communications In Next-Generation Networks
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
A Methodology For Network Analysis To Improve The Cyber-Physicals Communications In Next-Generation Networks
Analytical And Experimental Evaluation Of A Novel Mechanism To Improve The Control Plane In Next-Generation Mobile Networks
A Methodology For Network Analysis To Improve The Cyber-Physicals Communications In Next-Generation Networks
Analytical And Experimental Evaluation Of A Novel Mechanism To Improve The Control Plane In Next-Generation Mobile Networks
Towards A Software-Based Mobility Management For 5g: An Experimental Approach For Flattened Network Architectures
Analytical And Experimental Evaluation Of A Novel Mechanism To Improve The Control Plane In Next-Generation Mobile Networks
Towards A Software-Based Mobility Management For 5g: An Experimental Approach For Flattened Network Architectures
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Towards A Software-Based Mobility Management For 5g: An Experimental Approach For Flattened Network Architectures
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Training Deep Neural Networks: A Static Load Balancing Approach
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Training Deep Neural Networks: A Static Load Balancing Approach
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Deep Neural Networks: A Static Load Balancing Approach
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Scalable Recurrent Neural Network For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
Training Capsnets Via Active Learning For Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
Neighboring Region Dropout For Hyperspectral Image Classification
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
A New Gpu Implementation Of Support Vector Machines For Fast Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
Neural Ordinary Differential Equations For Hyperspectral Image Classification
A Single Model Cnn For Hyperspectral Image Denoising
Neural Ordinary Differential Equations For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Neural Ordinary Differential Equations For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
Inference In Supervised Spectral Classifiers For On-Board Hyperspectral Imaging: An Overview
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Rotation Equivariant Convolutional Neural Networks For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Detection And Mitigation Of Dos And Ddos Attacks In Iot-Based Stateful Sdn: An Experimental Approach
Flop-Reduction Through Memory Allocations Within Cnn For Hyperspectral Image Classification
Detection And Mitigation Of Dos And Ddos Attacks In Iot-Based Stateful Sdn: An Experimental Approach
Detection And Mitigation Of Dos Attacks In Sdn. An Experimental Approach
Detection And Mitigation Of Dos And Ddos Attacks In Iot-Based Stateful Sdn: An Experimental Approach
Detection And Mitigation Of Dos Attacks In Sdn. An Experimental Approach
Sr-Dmm: A Sdn-Based Dmm Solution For Future Mobile Networks
Detection And Mitigation Of Dos Attacks In Sdn. An Experimental Approach
Sr-Dmm: A Sdn-Based Dmm Solution For Future Mobile Networks
A Novel Methodology Based On Orthogonal Projections For A Mobile Network Data Set Analysis
Sr-Dmm: A Sdn-Based Dmm Solution For Future Mobile Networks
A Novel Methodology Based On Orthogonal Projections For A Mobile Network Data Set Analysis
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
A Novel Methodology Based On Orthogonal Projections For A Mobile Network Data Set Analysis
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Efficient Convolutional Neural Network For Spectral-Spatial Hyperspectral Denoising
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Gpu Parallel Implementation Of Dual-Depth Sparse Probabilistic Latent Semantic Analysis For Hyperspectral Unmixing
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Solving Deep Neural Networks With Ordinary Differential Equations For Remotely Sensed Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Accessibility-Free Active Learning For Hyperspectral Image Classification
Open Multi-Processing Acceleration For Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
Accessibility-Free Active Learning For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Accessibility-Free Active Learning For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Capsule Networks For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
Deep Pyramidal Residual Networks For Spectral-Spatial Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
A Comparative Study Of Techniques For Hyperspectral Image Classification
Feature Extraction With Multiscale Covariance Maps For Hyperspectral Image Classification
A Comparative Study Of Techniques For Hyperspectral Image Classification
Cloud Deep Networks For Hyperspectral Image Analysis
A Comparative Study Of Techniques For Hyperspectral Image Classification
Cloud Deep Networks For Hyperspectral Image Analysis
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Cloud Deep Networks For Hyperspectral Image Analysis
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Deep Learning Classifiers For Hyperspectral Imaging: A Review
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
Nueva Implementación Paralela En Gpus Del Algoritmo Plsa Para Desmezclado De Imágenes Hiperespectrales
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
High Performance Computing, Big Data, And Cloud Computing: The Perfect De Facto Trio Orconverging Technological Mantras?
Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
High Performance Computing, Big Data, And Cloud Computing: The Perfect De Facto Trio Orconverging Technological Mantras?
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
High Performance Computing, Big Data, And Cloud Computing: The Perfect De Facto Trio Orconverging Technological Mantras?
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Generative Network For Unsupervised Remote Sensing Single-Image Super-Resolution
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Active Learning With Convolutional Neural Networks For Hyperspectral Image Classification Using A New Bayesian Approach
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
A New Deep Convolutional Neural Network For Fast Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
An Investigation On Self-Normalized Deep Neural Networks For Hyperspectral Image Classification
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Fast Dimensionality Reduction And Classification Of Hyperspectral Images With Extreme Learning Machines
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Deep & Dense Convolutional Neural Network For Hyperspectral Image Classification
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Multimodal Probabilistic Latent Semantic Analysis For Sentinel-1 And Sentinel-2 Image Fusion
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Performance Evaluation Of Distributed Mobility Management Protocols: Limitations And Solutions For Future Mobile Networks
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
Performance Evaluation Of Distributed Mobility Management Protocols: Limitations And Solutions For Future Mobile Networks
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Performance Evaluation Of Distributed Mobility Management Protocols: Limitations And Solutions For Future Mobile Networks
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
Onboard Payload-Data Dimensionality Reduction
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
A Navigation Agent For Mobile Manipulators
Cloud Implementation Of The K-Means Algorithm For Hyperspectral Image Analysis
A Navigation Agent For Mobile Manipulators
Proposal And Analysis Of Integrated Ptn Architecture In The Mobile Backhaul To Improve The Qos Of Hetnets
A Navigation Agent For Mobile Manipulators
Proposal And Analysis Of Integrated Ptn Architecture In The Mobile Backhaul To Improve The Qos Of Hetnets
A Delay-Oriented Prioritization Policy Based On Cooperative Lossless Buffering In Ptn Domains
Proposal And Analysis Of Integrated Ptn Architecture In The Mobile Backhaul To Improve The Qos Of Hetnets
A Delay-Oriented Prioritization Policy Based On Cooperative Lossless Buffering In Ptn Domains
Te-Dmm: A Proposal To Improve The Control Plane In Pmipv6-Based Dmm Networks
A Delay-Oriented Prioritization Policy Based On Cooperative Lossless Buffering In Ptn Domains
Te-Dmm: A Proposal To Improve The Control Plane In Pmipv6-Based Dmm Networks
Mobile-Fixed Integration For Next-Generation Mobile Network: Classification And Evaluation
Te-Dmm: A Proposal To Improve The Control Plane In Pmipv6-Based Dmm Networks
Mobile-Fixed Integration For Next-Generation Mobile Network: Classification And Evaluation
Qos In Next Generation Mobile Networks: An Analytical Study
Mobile-Fixed Integration For Next-Generation Mobile Network: Classification And Evaluation
Qos In Next Generation Mobile Networks: An Analytical Study
Dm3: Distributed Mobility Management In Mpls-Based Access Networks
Qos In Next Generation Mobile Networks: An Analytical Study
Dm3: Distributed Mobility Management In Mpls-Based Access Networks
An Oam Function To Improve The Packet Loss In Mpls-Tp Domains For Prioritized Qos-Aware Services
Dm3: Distributed Mobility Management In Mpls-Based Access Networks
An Oam Function To Improve The Packet Loss In Mpls-Tp Domains For Prioritized Qos-Aware Services
Ipm-Tp, A Full Integrated Architecture To Provide Seamless Mobility Management With Qos
An Oam Function To Improve The Packet Loss In Mpls-Tp Domains For Prioritized Qos-Aware Services
Ipm-Tp, A Full Integrated Architecture To Provide Seamless Mobility Management With Qos
Testbed Para El Análisis Del Impacto De La Movilidad En Redes De Acceso
Ipm-Tp, A Full Integrated Architecture To Provide Seamless Mobility Management With Qos
Testbed Para El Análisis Del Impacto De La Movilidad En Redes De Acceso
Enhancing Ptn To Improve The Qos Provided By The Ip Mobility Management
Testbed Para El Análisis Del Impacto De La Movilidad En Redes De Acceso
Enhancing Ptn To Improve The Qos Provided By The Ip Mobility Management
Mobility Management In Packet Transport Networks For Network Convergence
Enhancing Ptn To Improve The Qos Provided By The Ip Mobility Management
Mobility Management In Packet Transport Networks For Network Convergence
Methodology And Framework For The Development Of Scientific Applications With High-Performance Computing Through Web Services
Mobility Management In Packet Transport Networks For Network Convergence
Methodology And Framework For The Development Of Scientific Applications With High-Performance Computing Through Web Services
Network Simulations With Supercomputing Using Ns-2
Methodology And Framework For The Development Of Scientific Applications With High-Performance Computing Through Web Services
Network Simulations With Supercomputing Using Ns-2
Mobility Management In Mpls-Based Access Networks: An Analycal Study
Network Simulations With Supercomputing Using Ns-2
Mobility Management In Mpls-Based Access Networks: An Analycal Study
Designing An Architecture To Provide Ubiquity In Mobile Learning
Mobility Management In Mpls-Based Access Networks: An Analycal Study
Designing An Architecture To Provide Ubiquity In Mobile Learning
Performance Evaluation And Analytical Study Of The Effects Among Wireless Technologies
Designing An Architecture To Provide Ubiquity In Mobile Learning
Performance Evaluation And Analytical Study Of The Effects Among Wireless Technologies
Transformer-Based Network For Enhanced Wireless Service Differentiation In 6g
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