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ORCIDMukesh Prasad
- > Home > Persons > Mukesh Prasad
Publications
- 2024
[j81]Hamza Sulimani
, Rahaf Sulimani, Fahimeh Ramezani, Mohsen Naderpour, Huan Huo, Tony Jan, Mukesh Prasad:
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments. J. Cloud Comput. 13(1): 113 (2024)- 2023
- [j76]Pratham Grover, Kunal Chaturvedi, Xing Zi, Amit Saxena, Shiv Prakash, Tony Jan, Mukesh Prasad:
Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI. Algorithms 16(8): 377 (2023) - [j74]Hamza Sulimani, Akbar Muhammad Sajjad, Wael Y. Alghamdi, Omprakash Kaiwartya, Tony Jan, Simeon Simoff, Mukesh Prasad:
Reinforcement optimization for decentralized service placement policy in IoT-centric fog environment. Trans. Emerg. Telecommun. Technol. 34(11) (2023) - [j73]Anand Singh Rajawat, S. B. Goyal, Pradeep Bedi, Tony Jan, Md Whaiduzzaman, Mukesh Prasad:
Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT). Future Internet 15(8): 271 (2023) - [c61]Zeyang Zhou, Ayush Kanwal, Kunal Chaturvedi, Rehan Raza, Shiv Prakash, Tony Jan, Mukesh Prasad:
Deep Learning-Based Classification of Neurodegenerative Diseases Using Gait Dataset: A Comparative Study. RCVE 2023: 59-64 - 2021
- [j50]Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena, Tony Jan, Witold Pedrycz, Mukesh Prasad:
Remote Sensing Imagery Segmentation: A Hybrid Approach. Remote. Sens. 13(22): 4604 (2021) - [c58]Hamza Sulimani, Wael Y. Alghamdi, Tony Jan, Gnana Bharathy, Mukesh Prasad:
Sustainability of Load Balancing Techniques in Fog Computing Environment: Review. FNC/MobiSPC 2021: 93-101 - 2020
- [c49]Jin Ho Go, Tony Jan, Manoranjan Mohanty, Om Prakash Patel, Deepak Puthal, Mukesh Prasad:
Visualization Approach for Malware Classification with ResNeXt. CEC 2020: 1-7 - [c48]Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad:
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. ICONIP (5) 2020: 113-120
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