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

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

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

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

Song-Kyoo Kim, Zeqiye Zhan

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

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

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

Abdulla Juwaied, Lidia Jackowska-Strumillo

Predicting the ultimate bearing capacity of shallow foundations on ethiopian cohesive soils using a hybrid grey wolf optimizer artificial neural network model

Yilachew Getachew Chikol, C ZHANG, Amogne Andualem Ayalew, Lebeza Alemu Moges

Accurate estimation of the ultimate bearing capacity of shallow foundations on cohesive soils remains a major challenge in geotechnical engineering, particularly in regions with expansive, heterogeneous clay deposits. In Ethiopia, the direct application of classical bearing capac…Read more