Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
Devdiscourse

AI exposes invisible microplastics polluting the world’s oceans

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Site Reliability Engineer to MLOps Engineer – Interview Kickstart Publishes New Career Transition Guide

SANTA CLARA, CA - April 13, 2026 - - As machine learning becomes integral to modern digital products, the demand for professionals skilled in MLOps (Machine Learning Operations) continues to rise. In ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
IEEE

Temporal Preprocessing and Ensemble Learning for Real-Time Fault Detection in Chemical Process Systems: A Data-Driven Approach on Tennessee Eastman Benchmark

Abstract: Chemical process industries require robust fault detection systems to ensure operational safety, product quality, and environmental compliance. However, existing methods face three critical ...