An energy efficient reliable machine learning based fuzzy fault tolerant model with self-healing routing in wireless sensor networks

Analysis and comparison of two selected machine learning algorithms for enhancing wireless sensor network protocols

Abdulla Juwaied, Lidia Jackowska-Strumillo

A comparative study of machine and deep learning models for time-series-based bearing fault diagnosis of induction motors

Kamal Hamani, Martin Kuchar, Martin Sobek, Vojtech Sotola, Petr Palacky

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

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

An explainable AI framework integrating machine and deep learning models for multi-species DNA functional group classification

Pratik Chakraborty, P. B. Shanthi

Abstract DNA functional group classification across species plays a crucial role in understanding genetic diversity, evolutionary relationships and biological function. The increasing availability of genomic data has led to the use of machine learning and deep learning methods fo…Read more

Development and external validation of machine learning models for predicting mortality in patients with lung cancer: a multicenter retrospective cohort study

Lihui Liu, Pan Zuo, Chunlan Yu, Xinhai Shen, Baoping Luo, Xicheng Zhang, et al.

Lung cancer remains the leading cause of cancer mortality worldwide. Accurate prognostic prediction can support clinical decision-making and resource allocation, yet many existing models use limited predictors and lack independent validation. We developed and externally validated…Read more