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- research-articleMarch 2024
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions
- Abhishek Hazra,
- Andrea Morichetta,
- Ilir Murturi,
- Lauri Lovén,
- Chinmaya Kumar Dehury,
- Víctor Casamayor Pujol,
- Praveen Kumar Donta,
- Schahram Dustdar
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with incorporating DAI into ZTP in the context of edge networks. Further, we draw ...
- research-articleNovember 2023
Fair Scheduling and Computation Co-Offloading for Industrial Applications in Fog Networks
IEEE Transactions on Network and Service Management (ITNSM), Volume 21, Issue 2Pages 1867–1876https://doi.org/10.1109/TNSM.2023.3332763Nowadays, by integrating the Industrial Internet of Things (IIoT) with fog networks, companies can efficiently manage the increasing data traffic and enhance the capabilities of sensing devices. However, control of critical IIoT applications has become ...
- research-articleOctober 2023
Explainable AI for Communicable Disease Prediction and Sustainable Living: Implications for Consumer Electronics
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 2460–2467https://doi.org/10.1109/TCE.2023.3325155Communicable diseases are transmitted through water, food, contaminated surfaces, bodily fluids, air. In such a situation, staying in home isolation for fewer chronic health problems and monitoring health status frequently through Medical Sensors (MSs) is ...
- review-articleMay 2023
Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges
AbstractIn recent times, the Internet of Things (IoT) applications, including smart transportation, smart healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision making. In the past decades, real-time sensory data ...
- research-articleJune 2022
Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 20, Issue 4Pages 2468–2479https://doi.org/10.1109/TCBB.2022.3180393Considering the increasing number of communicable disease cases such as COVID-19 worldwide, the early detection of the disease can prevent and limit the outbreak. Besides that, the PCR test kits are not available in most parts of the world, and there is ...
- research-articleMay 2022
Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 36, Issue 3Pages 56–64https://doi.org/10.1109/MNET.007.2100549Nowadays, federated learning (F1) has been proposed as an emerging technology to store sensory data and train the edge networks using a set of computing devices with minimum training time. However, a collection of heterogeneous participating devices with ...
- surveyNovember 2021
A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions
ACM Computing Surveys (CSUR), Volume 55, Issue 1Article No.: 9, Pages 1–35https://doi.org/10.1145/3485130In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous to the initial industrial metamorphosis. IoT affords the potential to couple machine-to-machine intercommunication and real-time information-gathering within ...
- research-articleApril 2021
Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network
Applied Intelligence (KLU-APIN), Volume 51, Issue 4Pages 2291–2311https://doi.org/10.1007/s10489-020-01901-2AbstractRecognition of handwritten characters in two Indic scripts Bangla and Meitei Mayek is one of the challenging responsibilities due to intricate patterns and scarcity of standard datasets. Convolutional Neural Network (CNN) is one of the stablest ...