Mohammad Shorfuzzaman
Orcid: 0000-0002-8050-8431
According to our database1,
Mohammad Shorfuzzaman
authored at least 53 papers
between 2004 and 2024.
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Bibliography
2024
Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer's Disease.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024
2023
MetaParkinson: A Cyber-Physical Deep Meta-Learning Framework for n-Shot Diagnosis and Monitoring of Parkinson's Patients.
IEEE Syst. J., December, 2023
IoT-enabled stacked ensemble of deep neural networks for the diagnosis of COVID-19 using chest CT scans.
Computing, April, 2023
IoT-cloud based healthcare model for COVID-19 detection: an enhanced k-Nearest Neighbour classifier based approach.
Computing, April, 2023
An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals.
Clust. Comput., April, 2023
AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare.
Clust. Comput., April, 2023
Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks.
ACM Trans. Internet Techn., 2023
PeerJ Comput. Sci., 2023
Comput. Syst. Sci. Eng., 2023
Smart Traffic Monitoring Through Pyramid Pooling Vehicle Detection and Filter-Based Tracking on Aerial Images.
IEEE Access, 2023
IEEE Access, 2023
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023
2022
Predictive Analytics of Energy Usage by IoT-Based Smart Home Appliances for Green Urban Development.
ACM Trans. Internet Techn., 2022
MEC-Based Jamming-Aided Anti-Eavesdropping with Deep Reinforcement Learning for WBANs.
ACM Trans. Internet Techn., 2022
IEEE Trans. Ind. Informatics, 2022
Permissioned Blockchain and Deep Learning for Secure and Efficient Data Sharing in Industrial Healthcare Systems.
IEEE Trans. Ind. Informatics, 2022
DFT-Net: Deep Feature Transformation Based Network for Object Categorization and Part Segmentation in 3-Dimensional Point Clouds.
Sensors, 2022
Blockchain Empowered Federated Learning Ecosystem for Securing Consumer IoT Features Analysis.
Sensors, 2022
PeerJ Comput. Sci., 2022
An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection.
Multim. Syst., 2022
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images.
Multim. Syst., 2022
AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification.
Multim. Syst., 2022
Deep Human Motion Detection and Multi-Features Analysis for Smart Healthcare Learning Tools.
IEEE Access, 2022
2021
An Explainable Deep Learning Ensemble Model for Robust Diagnosis of Diabetic Retinopathy Grading.
ACM Trans. Multim. Comput. Commun. Appl., 2021
Secur. Commun. Networks, 2021
MetaCOVID: A Siamese neural network framework with contrastive loss for <i>n</i>-shot diagnosis of COVID-19 patients.
Pattern Recognit., 2021
Deep neural learning on weighted datasets utilizing label disagreement from crowdsourcing.
Comput. Networks, 2021
Biomed. Signal Process. Control., 2021
Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer.
IEEE Access, 2021
Upper Limb Rehabilitation System for Stroke Survivors Based on Multi-Modal Sensors and Machine Learning.
IEEE Access, 2021
A Novel Approach for Upper Limb Functionality Assessment Based on Deep Learning and Multimodal Sensing Data.
IEEE Access, 2021
Variational Autoencoders and Wasserstein Generative Adversarial Networks for Improving the Anti-Money Laundering Process.
IEEE Access, 2021
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification.
IEEE Access, 2021
2020
Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application.
Wirel. Commun. Mob. Comput., 2020
Aiding Prosumers by Solar Cell Parameter Optimization Using a Hybrid Technique for Achieving Near Realistic P-V Characteristics.
IEEE Access, 2020
Detection of cyber attacks in IoT using tree-based ensemble and feedforward neural network.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment.
Comput. Hum. Behav., 2019
2017
Leveraging cloud based big data analytics in knowledge management for enhanced decision making in organizations.
CoRR, 2017
2016
Modeling Learners' Readiness to Adopt Mobile Learning: A Perspective from a GCC Higher Education Institution.
Mob. Inf. Syst., 2016
2015
Usability of a cloud-based collaborative learning framework to improve learners' experience.
Comput. Hum. Behav., 2015
Comput. Hum. Behav., 2015
2014
Access-Efficient QoS-Aware Data Replication to Maximize User Satisfaction in Cloud Computing Environments.
Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014
2012
Allocating replicas in large-scale data grids using a QoS-aware distributed technique with workload constraints.
Int. J. Grid Util. Comput., 2012
2011
Proceedings of the 25th IEEE International Conference on Advanced Information Networking and Applications, 2011
Distributed Placement of Replicas in Hierarchical Data Grids with User and System QoS Constraints.
Proceedings of the 2011 International Conference on P2P, 2011
2010
J. Supercomput., 2010
Proceedings of the 2010 International Conference on Parallel and Distributed Computing, 2010
2009
2008
Proceedings of the Ninth International Conference on Parallel and Distributed Computing, 2008
2006
Video Transcoding Using Network Processors to Support Dynamically Adaptive Video Multicast.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006
2004
Architectures for Network Processors: Key Features, Evaluation, and Trends.
Proceedings of the International Conference on Communications in Computing, 2004