IEEE

Rainfall Prediction Using Integrated Machine Learning Models With K-Means Clustering: A Representative Case Study of Harirud Murghab Basin-Afghanistan

Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...
Analytics Insight

Avoid These 10 Machine Learning Project Mistakes

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
IEEE

Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance

Abstract: High Entropy Alloys (HEAs) are widely recognized for their excellent microstructure and properties, enhancing their effectiveness in surface modification through coatings techniques. These ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Frontiers

Artificial intelligence-assisted noninvasive preoperative prediction of lymph nodes metastasis in cervical cancer through a clinical-imaging feature combined strategy

1 Department of Gynecology and Obstetrics, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang, China 2 Department of Radiology, Affiliated Dongyang Hospital of Wenzhou ...
Forbes

AI In 2026: 10 Predictions On Automation And The Future Of Work

Forbes contributors publish independent expert analyses and insights. Charles writes about organisational changes required to scale & AI. Writing predictions for the future is a fool’s game. So, I am ...
Journal of Medical Internet Research

Text-Based Depression Prediction on Social Media Using Machine Learning: Systematic Review and Meta-Analysis

Demographics, language, social media activity, and temporal features should be considered to maximize the accuracy of depression prediction models. Additionally, the effects of social media platform ...