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crossrefScientific Reports2026-07-07

A machine learning–based optimal charging strategy for PV-assisted electric vehicle systems incorporating second-life batteries under degradation constraints

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…

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openalexScientific Reports2026-07-23

Transfer learning-based SOH estimation from partial charging data with polarization-aware modeling

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…

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openalexScientific Reports2026-07-23

Deep reinforcement learning-based resource recommendation system for ideological and political education

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…

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crossrefScientific Reports2026-06-15

Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition

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…

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