Scholarly PublicationItems where Author is "Shukla, S."
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Up a levelShukla, S. and Hussain, S. and Irshad, R.R. and Alattab, A.A. and Thakur, S. and Breslin, J.G. and Hassan, M.F. and Abimannan, S. and Husain, S. and Jameel, S.M. (2024) Network analysis in a peer-to-peer energy trading model using blockchain and machine learning. Computer Standards and Interfaces, 88.
Shukla, S. and Hassan, M.F. and Tran, D.C. and Akbar, R. and Paputungan, I.V. and Khan, M.K. (2023) Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR). Cluster Computing, 26 (5). pp. 2657-2680. ISSN 13867857
Rehman, A. and Hassan, M.F.B. and Hooi, Y.K. and Qureshi, M.A. and Shukla, S. and Susanto, E. and Rubab, S. and Abdel-Aty, A. (2022) CTMF: Context-Aware Trust Management Framework for Internet of Vehicles. IEEE Access. p. 1.
Mahboob, K. and Khursheed, S. and Jameel, S.M. and Uddin, V. and Shukla, S. and Pabani, J.K. (2022) A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment. In: UNSPECIFIED.
Mahboob, K. and Khursheed, S. and Jameel, S.M. and Uddin, V. and Shukla, S. and Pabani, J.K. (2022) A Novel Medical Image De-noising Algorithm for Efficient Diagnosis in Smart Health Environment. In: UNSPECIFIED.
Hashmani, M.A. and Jameel, S.M. and Rizvi, S.S.H. and Shukla, S. (2021) An adaptive federated machine learning-based intelligent system for skin disease detection: A step toward an intelligent dermoscopy device. Applied Sciences (Switzerland), 11 (5). pp. 1-19.
Shukla, S. and Hassan, M.F. and Jung, L.T. and Awang, A. (2019) Architecture for latency reduction in healthcare internet-of-things using reinforcement learning and fuzzy based fog computing. Advances in Intelligent Systems and Computing, 843. pp. 372-383.
Shukla, S. and Hassan, M.F. and Jung, L.T. and Awang, A. (2019) Architecture for latency reduction in healthcare internet-of-things using reinforcement learning and fuzzy based fog computing. Advances in Intelligent Systems and Computing, 843. pp. 372-383.