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Raj Mani Shukla
Raj Mani Shukla
Anglia Ruskin University, Cambridge
Verified email at aru.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
332019
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
322021
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
292020
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
272018
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
242017
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
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
152022
COP: An integrated Communication, Optimization, and Prediction unit for smart Plug-in Electric Vehicle Charging
RM Shukla, S Sengupta
Internet of Things, 100148, 2019
152019
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
122016
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
112018
UNR-IDD: Intrusion Detection Dataset using Network Port Statistics
T Das, O Abu Hamdan, R Shukla, S Sengupta, E Arslan
TechRxiv, 2022
92022
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
The Devil is in the Details: Confident & Explainable Anomaly Detector for Software-Defined Networks
T Das, RM Shukla, S Sengupta
IEEE International Symposium on Network Computing and Applications (NCA 2021), 2021
82021
AgileML: A Machine Learning Project Development Pipeline Incorporating Active Consumer Engagement
RM Shukla, J Cartlidge
IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2021
42021
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
32023
Imposters Among Us: A Supervised Learning Approach to Anomaly Detection in IoT Sensor Data
T Das, RM Shukla, S Sengupta
IEEE World Forum on Internet of Things, 2021
32021
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
P Devabhakthini, S Parida, RM Shukla, SC Nayak
arXiv preprint arXiv:2307.08327, 2023
22023
A novel machine learning pipeline to detect malicious anomalies for the Internet of Things
RM Shukla, S Sengupta
Internet of Things 20, 100603, 2022
22022
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