| Estimation of lower extremity parameters for marker-less gait analysis D Sethi, C Prakash, S Bharti Multimedia Tools and Applications 83 (13), 40125-40145, 2024 | | 2024 |
| Towards a Reputation-based Trustworthy Edge-Cloud Continuum I Dhanapala, S Bharti, A Mcgibney, S Rea Authorea Preprints, 2024 | | 2024 |
| A reputation-aware hierarchical aggregation framework for federated learning M Panigrahi, S Bharti, A Sharma Computers and Electrical Engineering 111, 108900, 2023 | 2 | 2023 |
| A review on client selection models in federated learning M Panigrahi, S Bharti, A Sharma Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1514, 2023 | 1 | 2023 |
| Federated learning for beginners: Types, simulation environments, and open challenges M Panigrahi, S Bharti, A Sharma 2023 International Conference on Computer, Electronics & Electrical …, 2023 | 3 | 2023 |
| Machine Learning Economy for Next Generation Industrial IoT: A Vision Under Web 3.0 S Bharti, T Ranathunga, I Dhanapala, S Rea, A McGibney International Conference on Management of Digital, 105-119, 2023 | | 2023 |
| Multi‐feature gait analysis approach using deep learning in constraint‐free environment D Sethi, C Prakash, S Bharti Expert Systems, e13274, 2023 | 3 | 2023 |
| Joint Identification and Clustering Using Deep Learning Techniques D Sethi, C Prakash, S Bharti International Conference On Innovative Computing And Communication, 1-11, 2023 | | 2023 |
| FedDCS: A distributed client selection framework for cross device federated learning M Panigrahi, S Bharti, A Sharma Future Generation Computer Systems, 2023 | 7 | 2023 |
| Blockchain based Decentralised Model Aggregation for Cross-Silo Federated Learning in Industry 4.0 T Ranathunga, A McGibney, S Rea, S Bharti IEEE Internet of Things Journal, 2022 | 19 | 2022 |
| DISTiL: DIStributed industrial computing environment for trustworthy digital workflows: a design perspective A McGibney, S Bharti International Symposium on Leveraging Applications of Formal Methods, 219-226, 2022 | 2 | 2022 |
| An exhaustive investigation on resource-aware client selection mechanisms for cross-device federated learning M Panigrahi, S Bharti, A Sharma Proceedings of the 2022 fourteenth international conference on contemporary …, 2022 | 4 | 2022 |
| Edge-enabled federated learning for vision based product quality inspection S Bharti, A McGibney, T O'Gorman 2022 33rd Irish Signals and Systems Conference (ISSC), 1-6, 2022 | 7 | 2022 |
| A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work D Sethi, S Bharti, C Prakash Artificial Intelligence in Medicine, 2022 | 54 | 2022 |
| Design Considerations and Guidelines for Implementing Federated Learning in Smart Manufacturing Applications S Bharti, A McGibney, T O’Gorman | 2 | 2022 |
| CoRoL: a reliable framework for computation offloading in collaborative robots S Bharti, A McGibney IEEE Internet of Things Journal 9 (19), 18195-18207, 2022 | 12 | 2022 |
| Latest trends in gait analysis using deep learning techniques: a systematic review D Sethi, C Prakash, S Bharti International Conference on Artificial Intelligence and Speech Technology …, 2021 | 3 | 2021 |
| Privacy-aware resource sharing in cross-device federated model training for collaborative predictive maintenance S Bharti, A Mcgibney IEEE Access 9, 120367-120379, 2021 | 19 | 2021 |
| Delay-aware Green Routing for Mobile Sink based Wireless Sensor Networks S Jain, K Pattanaik, R Verma, S Bharti, A Shukla IEEE Internet of Things Journal, 2020 | 39 | 2020 |
| A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks R Verma, K Pattanaik, S Bharti, D Saxena, J Cao ACM Transactions on Sensor Networks (TOSN) 16 (4), 1-28, 2020 | 8 | 2020 |
K K PattanaikProfessor of Information Technology在 iiitm.ac.in 的电子邮件经过验证
