Elif Aslan, Ali Canberk Ulusoy, Onur Mutlu, Erinc Onem, Elif Sener, Ali Mert, et al.
Ahmed Ezzat, Ayman S. Abdel-Khalik, Ragi A. Hamdy, Mostafa S. Hamad
Abstract The rapid expansion of electric vehicles (EVs) and residential photovoltaic (PV) systems has created new challenges in battery charging management, particularly due to the variability of renewable energy, grid limitations, and battery aging effects. In this work, we pres…
Yuxia Li, Yuanyuan Gao, Xianbao Wang, C Wang, Zi Wang, Chuxiong Wu, et al.
Accurate state-of-health (SOH) estimation from incomplete charging data remains difficult when batteries are operated under variable charging protocols and when the prior polarization history is unknown. Many existing data-driven methods either rely on handcrafted health indicato…
Zixuan Song, Lianxin Geng, Xiao Wang, Xiaoke Gong
In the context of developments in digital education and artificial intelligence technologies, ideological and political education (IPE) scenarios (e.g., university teaching, enterprise training, and community practice) generate growing demands for accurate resource recommendation…
Pouya Bohlol, Mohammad Hasan Sabet Dizavandi, Syed Saeid Mohtasebi, Mahmoud Omid
Abstract The fusion multi-sensory system with optimized deep learning and machine learning algorithms appeared to synergize difficult paradigms in precision agriculture and boost recognition of various plant species. In this study, an electronic nose (E-nose) system with eight MO…