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Dr. Ashish Gupta
Dr. Ashish Gupta
Post Doctoral Researcher, Missouri S&T, Rolla, United States
Verified email at umsystem.edu - Homepage
Title
Cited by
Cited by
Year
Challenges and solutions in software defined networking: A survey
S Saraswat, V Agarwal, HP Gupta, R Mishra, A Gupta, T Dutta
Journal of Network and Computer Applications 141, 23-58, 2019
362019
Approaches and Applications of Early Classification of Time Series: A Review
A Gupta, HP Gupta, B Biswas, T Dutta
IEEE Transactions on Artificial Intelligence, 2020
162020
An early classification approach for multivariate time series of on-vehicle sensors in transportation
A Gupta, HP Gupta, B Biswas, T Dutta
IEEE Transactions on Intelligent Transportation Systems 21 (12), 5316-5327, 2020
152020
A real-time precision agriculture monitoring system using mobile sink in WSNs
A Gupta, HP Gupta, P Kumari, R Mishra, S Saraswat, T Dutta
2018 IEEE International Conference on Advanced Networks andá…, 2018
112018
A fault-tolerant early classification approach for human activities using multivariate time series
A Gupta, HP Gupta, B Biswas, T Dutta
IEEE Transactions on Mobile Computing 20 (5), 1747-1760, 2020
92020
A divide-and-conquer–based early classification approach for multivariate time series with different sampling rate components in iot
A Gupta, HP Gupta, B Biswas, T Dutta
ACM Transactions on Internet of Things 1 (2), 1-21, 2020
82020
An incremental learning based gesture recognition system for consumer devices using edge-fog computing
S Saraswat, A Gupta, HP Gupta, T Dutta
IEEE Transactions on Consumer Electronics 66 (1), 51-60, 2019
82019
Lost target recovery in wireless sensor network using tracking
A Gupta, S Patil, M Zaveri
2012 International Conference on Communication Systems and Networká…, 2012
82012
An unseen fault classification approach for smart appliances using ongoing multivariate time series
A Gupta, HP Gupta, B Biswas, T Dutta
IEEE Transactions on Industrial Informatics 17 (6), 3731-3738, 2020
72020
Recovery of lost target using target tracking in event driven clustered wireless sensor network
S Patil, A Gupta, M Zaveri
Journal of Computer Networks and Communications 2014, 2014
72014
A sensors based deep learning model for unseen locomotion mode identification using multiple semantic matrices
R Mishra, A Gupta, HP Gupta, T Dutta
IEEE Transactions on Mobile Computing, 2020
62020
Game Theory based Early Classification of Rivers using Time Series Data
A Gupta, R Pal, R Mishra, HP Gupta, T Dutta, P Hirani
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 686-691, 2019
52019
An approach of efficient and resistive digital watermarking using SVD
S Bhatnagar, S Kumar, A Gupta
2014 International Conference on Advances in Computing, Communications andá…, 2014
42014
YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of Yoga With Feedback
A Gupta, HP Gupta
IEEE Transactions on Artificial Intelligence 2 (4), 362-371, 2021
22021
Early classification approach for multivariate time series using sensors of different sampling rate
A Gupta, HP Gupta, T Dutta
2019 16th Annual IEEE International Conference on Sensing, Communicationá…, 2019
22019
Efficient target recovery in wireless sensor network
S Patil, A Gupta, M Zaveri
Advances in Computing and Information Technology, 385-394, 2012
22012
Impact of Network Load for Anomaly Detection in Software-Defined Networking
A Gupta, B Didwania, G Singh, HP Gupta, R Mishra, T Dutta
Advances in Data and Information Sciences, 127-134, 2020
12020
A Supervised Approach-based Job Scheduling Technique for Distributed Real-Time Systems
M Agrawal, K Manchanda, A Agarwal, S Saraswat, A Gupta, HP Gupta, ...
2018 IEEE International Conference on Advanced Networks andá…, 2018
12018
Leveraging Spanning Tree to Detect Colluding Attackers in Federated Learning
P Ranjan, F Cor˛, A Gupta, SK Das
IEEE International Conference on Computer Communications Workshops (INFOCOMá…, 2022
2022
Locomotion Mode Recognition using Sensory Data with Noisy Labels: A Deep Learning Approach
R Mishra, A Gupta, HP Gupta
IEEE Transactions on Mobile Computing, 2021
2021
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