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Faisul Arif Ahmad

Showing results (1-10 of 12) with videos related to

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Plos One|April 15, 2025
Investigating the application of IoT mobile app and healthcare services for diabetic elderly: A systematic reviewJinglong Li, Rosalam Che Me, Faisul Arif Ahmad, et al.
Thescientificworldjournal|June 21, 2014
Optimization of power utilization in multimobile robot foraging behavior inspired by honeybees systemFaisul Arif Ahmad, Abd Rahman Ramli, Khairulmizam Samsudin, et al.
Disability and Rehabilitation. Assistive Technology|November 21, 2025
Development and validation of an ageing-oriented smart products design framework based on technology acceptance model (TAM)Jinglong Li, Rosalam Che Me, Faisul Arif Ahmad, et al.
Scientific Reports|January 6, 2026
A novel parametric scaled exponential linear unit activation function for deep residual networks in short-term load forecastingJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|May 26, 2026
Understanding the influence of training schedules on short-term load forecasting via deep residual networks: An empirical studyJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|May 6, 2026
Loss functions in deep residual networks for short-term load forecasting: a systematic analysisJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|June 18, 2026
Deep residual networks for short-term load forecasting: an empirical study on the impact of network depthJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|January 26, 2026
Deep residual networks with convolutional feature extraction for short-term load forecastingJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|March 26, 2026
A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networksJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|March 26, 2026
Mini-batch size sensitivity in deep residual networks for short-term load forecasting: an empirical studyJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Plos One|April 15, 2025
Investigating the application of IoT mobile app and healthcare services for diabetic elderly: A systematic reviewJinglong Li, Rosalam Che Me, Faisul Arif Ahmad, et al.
Thescientificworldjournal|June 21, 2014
Optimization of power utilization in multimobile robot foraging behavior inspired by honeybees systemFaisul Arif Ahmad, Abd Rahman Ramli, Khairulmizam Samsudin, et al.
Disability and Rehabilitation. Assistive Technology|November 21, 2025
Development and validation of an ageing-oriented smart products design framework based on technology acceptance model (TAM)Jinglong Li, Rosalam Che Me, Faisul Arif Ahmad, et al.
Scientific Reports|January 6, 2026
A novel parametric scaled exponential linear unit activation function for deep residual networks in short-term load forecastingJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|May 26, 2026
Understanding the influence of training schedules on short-term load forecasting via deep residual networks: An empirical studyJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|May 6, 2026
Loss functions in deep residual networks for short-term load forecasting: a systematic analysisJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|June 18, 2026
Deep residual networks for short-term load forecasting: an empirical study on the impact of network depthJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|January 26, 2026
Deep residual networks with convolutional feature extraction for short-term load forecastingJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|March 26, 2026
A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networksJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Scientific Reports|March 26, 2026
Mini-batch size sensitivity in deep residual networks for short-term load forecasting: an empirical studyJunchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, et al.
Pageof 2