PUBLICACIÓN

Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model

Logo Open Access

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Tobarra L., Haut J.M., Hernandez R., Pastor-Vargas R., Robles-Gomez A.

2021 IEEE Access

Computer Science (miscellaneous) (Q1), Engineering (miscellaneous) (Q1), Materials Science (miscellaneous) (Q1)

JCR: 3.476

SJR: 0.927

CITAS

29

DOI

10.1109/access.2021.3125497

EID

2-s2.0-85118686614

EISSN

2169-3536

AUTORES DE LA UEX

Juan Mario Haut Hurtado

OTRAS PUBLICACIONES DE INTERÉS

A Navigation Agent For Mobile Manipulators
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Redu-Net: Robust And Efficient Dynamic Unfolding Network For Abundance Estimation
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Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Typical Mineral Abundance Estimation Of Chang'e-3 Yutu Rover With Hyperspectral Data Based On Diffusion Autoencoder Unmixing Model
Cross Hyperspectral And Lidar Attention Transformer: An Extended Self-Attention For Land Use And Land Cover Classification
Federated Learning Meets Remote Sensing
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Federated Learning Meets Remote Sensing
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Smcnet: Sparse-Inspired Masked Convolutional Network For Hyperspectral Anomaly Detection
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Qcircularstats: A Qgis-Plugin For Evaluation Bidimensional Data By Circular Statistics
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Novel Spectral Loss Function For Unsupervised Hyperspectral Image Segmentation
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Detection Of Cerebral Ischaemia Using Transfer Learning Techniques
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Cloud Implementation Of Extreme Learning Machine For Hyperspectral Image Classification
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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
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Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
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Cit: Content-Invariant Translation With Hybrid Attention Mechanism For Unsupervised Change Detection
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Central Cohesion Gradual Hashing For Remote Sensing Image Retrieval
Deep Unrolling Network With Active Dictionary Learning For Hyperspectral Anomaly Detection
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Spectral-Spatial Morphological Attention Transformer For Hyperspectral Image Classification
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Heterogeneous Gradient Computing Optimization For Scalable Deep Neural Networks
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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
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Optimizing Distributed Deep Learning In Heterogeneous Computing Platforms For Remote Sensing Data Classification
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Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
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Adaptive Dictionary Construction For Hyperspectral Anomaly Detection Based On Collaborative Representation
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Fast Orthogonal Projection For Hyperspectral Unmixing
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Efficient Semantic Segmentation Of Hyperspectral Images Using Adaptable Rectangular Convolution
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Multiple Attention-Guided Capsule Networks For Hyperspectral Image Classification
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Ghostnet For Hyperspectral Image Classification
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Adaptable Convolutional Network For Hyperspectral Image Classification
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U-Img2dsm: Unpaired Simulation Of Digital Surface Models With Generative Adversarial Networks
Deep Mixed Precision For Hyperspectral Image Classification
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Endmember Estimation With Maximum Distance Analysis
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Endmember Estimation With Maximum Distance Analysis
Multiple Incremental Kernel Convolution For Land Cover Classification Of Remotely Sensed Images
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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
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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
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Analysis Of Remotely Sensed Images Through Social Media
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Analysis Of Remotely Sensed Images Through Social Media
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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
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Analyzing The Users’ Acceptance Of An Iot Cloud Platform Using The Utaut/tam Model
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
Cloud Implementation Of Multinomial Logistic Regression For Uav Hyperspectral Images
Angulargrad: A New Optimization Technique For Angular Convergence Of Convolutional Neural Networks
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Training Capsnets Via Active Learning For Hyperspectral Image Classification
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Accessibility-Free Active Learning For Hyperspectral Image Classification
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Low-High-Power Consumption Architectures For Deep-Learning Models Applied To Hyperspectral Image Classification
Accessibility-Free Active Learning For Hyperspectral Image Classification
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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
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Capsule Networks For Hyperspectral Image Classification
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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
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Cloud Deep Networks For Hyperspectral Image Analysis
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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
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Remote Sensing Image Superresolution Using Deep Residual Channel Attention
Visual Attention-Driven Hyperspectral Image Classification
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Visual Attention-Driven Hyperspectral Image Classification
Remote Sensing Single-Image Superresolution Based On A Deep Compendium Model
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Evaluación De Rendimiento Del Entrenamiento Distribuido De Redes Neuronales Profundas En Plataformas Heterogéneas
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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
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Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
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Evaluation Of Different Regularization Methods For The Extreme Learning Machine Applied To Hyperspectral Images
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Inter-Sensor Regression Analysis For Operational Sentinel-2 And Sentinel-3 Data Products
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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
Multicore Implementation Of The Multi-Scale Adaptive Deep Pyramid Matching Model For Remotely Sensed Image Classification
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
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
Kacnet: Kolmogorov-Arnold Convolution Network For Hyperspectral Anomaly Detection
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