Optimizing cyberattack frequency forecasting by advanced machine learning adaptation with tumbling windows

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…Read more

Optimization-enhanced machine failure classification using critical sensor features and hybrid learning models with advanced optimization techniques

Jinqin Tang, Junling Chai, Jinkun Dai, Jicheng Feng, Ruiqing Tian, Jijing Mei, et al.

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…Read more

Optical communication network signal analysis and cyber security modelling by frequency modulation with machine learning algorithm

Ramesh Kumar Ayyasamy, Baddepaka Prasad, Chinnasamy Ponnusamy, Srikanth Cherukuvada, N. V. S. M. Reddy, Sk. Khaja Shareef, et al.

ProCDNet: prostate cancer detection network using quantum machine learning with enhanced addax optimization

M. R. Prathap, K. S. Vairavel, C. Kumar, Abdullah Alwabli

Exploring feature limitations in antimicrobial resistance prediction: machine learning and deep learning in A. baumannii

Zahra Seraj, Zahra Ghorbanali, Fatemeh Zare-Mirakabad, Bahareh Attaran, Sajjad Gharaghani