IEEE

Value-Based Reinforcement Learning for Selective Disassembly Sequence Optimization Problems: Demonstrating and Comparing a Proposed Model

Abstract: Selective optimal disassembly sequencing (SODS) is a methodology for the disassembly of waste products. Mathematically, it is an optimization problem. However, in the existing research, the ...
IEEE

A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...
FCA

Tesla faces serious reliability problems with some Model 3 and Model Y versions

Some Tesla Model 3 and Model Y versions show faster battery degradation, with LG cells performing worse than Panasonic packs, a new study finds. Some versions of the Tesla Model 3 and Model Y have ...