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Raj Mani Shukla
Raj Mani Shukla
Anglia Ruskin University, Cambridge
Dirección de correo verificada de aru.ac.uk - Página principal
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Deep ensemble learning-based approach to real-time power system state estimation
N Bhusal, RM Shukla, M Gautam, M Benidris, S Sengupta
International Journal of Electrical Power & Energy Systems 129, 106806, 2021
572021
Anomaly detection using supervised learning and multiple statistical methods
W Jia, RM Shukla, S Sengupta
2019 18th IEEE international conference on machine learning and applications …, 2019
562019
Scalable and robust outlier detector using hierarchical clustering and long short-term memory (LSTM) neural network for the internet of things
RM Shukla, S Sengupta
Internet of Things 9, 100167, 2020
372020
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection
T Awosika, RM Shukla, B Pranggono
IEEE Access, 2024
362024
Software-defined network and cloud-edge collaboration for smart and connected vehicles
RM Shukla, S Sengupta, M Chatterjee
Proceedings of the Workshop Program of the 19th International Conference on …, 2018
302018
An efficient computation offloading architecture for the Internet of Things (IoT) devices
RM Shukla, A Munir
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2017
252017
UNR-IDD: Intrusion detection dataset using network port statistics
T Das, OA Hamdan, RM Shukla, S Sengupta, E Arslan
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 497-500, 2023
242023
COP: An integrated communication, optimization, and prediction unit for smart plug-in electric vehicle charging
RM Shukla, S Sengupta
Internet of Things 9, 100148, 2020
212020
Coordinated data falsification attack detection in the domain of distributed generation using deep learning
N Bhusal, M Gautam, RM Shukla, M Benidris, S Sengupta
International Journal of Electrical Power & Energy Systems 134, 107345, 2022
202022
Smart plug-in electric vehicle charging to reduce electric load variation at a parking place
RM Shukla, S Sengupta, AN Patra
2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018
192018
Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles
RM Shukla, S Sengupta, AN Patra
2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018
152018
A computation offloading scheme leveraging parameter tuning for real-time IoT devices
RM Shukla, A Munir
2016 IEEE International Symposium on Nanoelectronic and Information Systems …, 2016
152016
A novel software-defined network based approach for charging station allocation to plugged-in electric vehicles
RM Shukla, S Sengupta
2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017
142017
A neural network-based appliance scheduling methodology for smart homes and buildings with multiple power sources
RM Shukla, P Kansakar, A Munir
2016 IEEE International Symposium on Nanoelectronic and Information Systems …, 2016
132016
Give and take: Federated transfer learning for industrial IoT network intrusion detection
LT Rajesh, T Das, RM Shukla, S Sengupta
IEEE International Conference on Trust, Security and Privacy in Computing …, 2023
112023
The devil is in the details: Confident & explainable anomaly detector for software-defined networks
T Das, RM Shukla, S Sengupta
2021 IEEE 20th International Symposium on Network Computing and Applications …, 2021
112021
Analysis and detection of outliers due to data falsification attacks in vehicular traffic prediction application
RM Shukla, S Sengupta
2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile …, 2018
92018
Analyzing the vulnerabilities in splitfed learning: Assessing the robustness against data poisoning attacks
ATZ Ismail, RM Shukla
arXiv preprint arXiv:2307.03197, 2023
62023
What Could Possibly Go Wrong? Identification of Current Challenges and Prospective Opportunities for Anomaly Detection in Internet of Things
T Das, RM Shukla, S Sengupta
IEEE Network 37 (3), 194-200, 2022
62022
Challenges faced by industries and their potential solutions in deploying machine learning applications
RM Shukla, J Cartlidge
2022 IEEE 12th Annual Computing and Communication Workshop and Conference …, 2022
52022
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