Ashish Gupta
Orcid: 0000-0002-1424-1361Affiliations:
- Jaypee University of Engineering and Technology, Guna, India
- Sardar Vallabhbhai National Institute of Technology, Surat, India (former)
According to our database1,
Ashish Gupta
authored at least 29 papers
between 2012 and 2023.
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Bibliography
2023
Locomotion Mode Recognition Using Sensory Data With Noisy Labels: A Deep Learning Approach.
IEEE Trans. Mob. Comput., June, 2023
Proceedings of the IEEE INFOCOM 2023, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Environments.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023
Is Performance Fairness Achievable in Presence of Attackers Under Federated Learning?
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
A Sensors Based Deep Learning Model for Unseen Locomotion Mode Identification using Multiple Semantic Matrices.
IEEE Trans. Mob. Comput., 2022
FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings.
CoRR, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the IEEE Global Communications Conference, 2022
Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning.
Proceedings of the Computer Security - ESORICS 2022, 2022
2021
A Fault-Tolerant Early Classification Approach for Human Activities Using Multivariate Time Series.
IEEE Trans. Mob. Comput., 2021
An Unseen Fault Classification Approach for Smart Appliances Using Ongoing Multivariate Time Series.
IEEE Trans. Ind. Informatics, 2021
YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of Yoga With Feedback.
IEEE Trans. Artif. Intell., 2021
Towards Identifying Internet Applications Using Early Classification of Traffic Flow.
Proceedings of the IFIP Networking Conference, 2021
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021
Early Classification Approaches for Sensors Generated Multivariate Time Series with Different Challenges.
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021
2020
Accelerometer, Gyroscope, and Magnetometer Sensors based Data for Recognizing Handwritten Digits.
Dataset, April, 2020
An Early Classification Approach for Multivariate Time Series of On-Vehicle Sensors in Transportation.
IEEE Trans. Intell. Transp. Syst., 2020
A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT.
ACM Trans. Internet Things, 2020
An Incremental Learning Based Gesture Recognition System for Consumer Devices Using Edge-Fog Computing.
IEEE Trans. Consumer Electron., 2020
IEEE Trans. Artif. Intell., 2020
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020
2019
J. Netw. Comput. Appl., 2019
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019
Early Classification Approach for Multivariate Time Series using Sensors of Different Sampling Rate.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019
2018
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018
A Supervised Approach-based Job Scheduling Technique for Distributed Real-Time Systems.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018
2014
Recovery of Lost Target Using Target Tracking in Event Driven Clustered Wireless Sensor Network.
J. Comput. Networks Commun., 2014
2012
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012