Md. Imtiaz Hossain
Orcid: 0000-0003-1085-2461
According to our database1,
Md. Imtiaz Hossain
authored at least 15 papers
between 2019 and 2024.
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Collaborative distances:
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Bibliography
2024
EnParaNet: a novel deep learning architecture for faster prediction using low-computational resource devices.
Neural Comput. Appl., October, 2024
PURF: Improving teacher representations by imposing smoothness constraints for knowledge distillation.
Appl. Soft Comput., 2024
Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective.
IEEE Access, 2024
2023
The role of microservice approach in edge computing: Opportunities, challenges, and research directions.
ICT Express, December, 2023
Computation Offloading Strategy Based on Multi-armed Bandit Learning in Microservice-enabled Vehicular Edge Computing Networks.
Proceedings of the International Conference on Information Networking, 2023
Multi-Person 3D Pose Estimation in Mobile Edge Computing Devices for Real-Time Applications.
Proceedings of the International Conference on Information Networking, 2023
Proceedings of the International Conference on Information Networking, 2023
2022
Dynamic Task Offloading for Cloud-Assisted Vehicular Edge Computing Networks: A Non-Cooperative Game Theoretic Approach.
Sensors, 2022
DFC-D: A dynamic weight-based multiple features combination for real-time moving object detection.
Multim. Tools Appl., 2022
NeuRes: Highly Activated Neurons Responses Transfer via Distilling Sparse Activation Maps.
IEEE Access, 2022
2021
Fuzzy Decision-Based Efficient Task Offloading Management Scheme in Multi-Tier MEC-Enabled Networks.
Sensors, 2021
2020
Batch Entropy Supervised Convolutional Neural Networks for Feature Extraction and Harmonizing for Action Recognition.
IEEE Access, 2020
IEEE Access, 2020
2019
Orchestration-Based Task Offloading for Mobile Edge Computing in Small-Cell Networks.
Proceedings of International Joint Conference on Computational Intelligence, 2019
Performance Analysis of Data Parallelism Technique in Machine Learning for Human Activity Recognition Using LSTM.
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019