Items where Author is "Jameel, S.M."

Shukla, 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.

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.

Soomro, A.A. and Mokhtar, A.A. and Kurnia, J.C. and Lashari, N. and Sarwar, U. and Jameel, S.M. and Inayat, M. and Oladosu, T.L. (2022) A review on Bayesian modeling approach to quantify failure risk assessment of oil and gas pipelines due to corrosion. International Journal of Pressure Vessels and Piping, 200.

Azeem, A. and Ismail, I. and Jameel, S.M. and Harindran, V.R. (2021) Electrical Load Forecasting Models for Different Generation Modalities: A Review. IEEE Access, 9. pp. 142239-142263.

Azeem, A. and Ismail, I. and Jameel, S.M. and Harindran, V.R. (2021) Implication of Diverse Modalities for Electrical Load Forecasting. 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.

Hashmani, M.A. and Jameel, S.M. and Rehman, M. and Inoue, A. (2020) Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review. International Journal on Smart Sensing and Intelligent Systems, 13 (1). pp. 1-16.

Jameel, S.M. and Hashmani, M.A. and Rehman, M. and Budiman, A. (2020) An adaptive deep learning framework for dynamic image classification in the internet of things environment. Sensors (Switzerland), 20 (20). pp. 1-25.

Jameel, S.M. and Hashmani, M.A. and Rehman, M. and Budiman, A. (2020) An adaptive deep learning framework for dynamic image classification in the internet of things environment. Sensors (Switzerland), 20 (20). pp. 1-25.

Jameel, S.M. and Hashmani, M.A. and Alhussain, H. and Rehman, M. and Budiman, A. (2020) An optimized deep convolutional neural network architecture for concept drifted image classification. Advances in Intelligent Systems and Computing, 1037. pp. 932-942.

Uddin, V. and Rizvi, S.S.H. and Hashmani, M.A. and Jameel, S.M. and Ansari, T. (2020) A study of deterioration in classification models in real-time big data environment. Advances in Intelligent Systems and Computing, 1073. pp. 79-87.

Jameel, S.M. and Hashmani, M.A. and Alhussain, H. and Budiman, A. (2019) A fully adaptive image classification approach for industrial revolution 4.0. Advances in Intelligent Systems and Computing, 843. pp. 311-321.

Jameel, S.M. and Hashmani, M.A. and Alhussain, H. and Budiman, A. (2019) A fully adaptive image classification approach for industrial revolution 4.0. Advances in Intelligent Systems and Computing, 843. pp. 311-321.