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Researchers develop AI model to generate global realistic rainfall maps
Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...
AlphaGalileo9h
KIT Researchers Develop AI Model to Generate Global Realistic Rainfall Maps
Severe weather events, such as heavy rainfall, are becoming increasingly commonare on the rise worldwide. Reliable assessments of these events can ...
Devdiscourse16h
Climate-smart farming gets boost from AI ensemble models
Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...
The Lancet19h
Development of a novel dementia risk prediction model in the general population: A large, longitudinal, population-based machine-learning study - eClinicalMedicine - The Lancet
During a follow-up of 5,023,337 person-years, 5287 and 2416 participants developed dementia and AD, respectively. A novel UKB dementia risk prediction (UKB-DRP) model comprising ten predictors ...
Scientific Research Publishing2d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
IEEE4d
The Predictive Model of Mental Illness using Decision Tree and Random Forest classification in Machine Learning - IEEE Xplore
Ministry of HFW, Government of India ordered the NIMNS - National Institute of Mental Health and Neuro Sciences, Bengaluru, in alliance with 15 institutions from across India and made a survey on ...
IEEE4d
Development and Evaluation of a Decision Tree Model for Predicting Drug Addiction Using Demographic, Psychosocial, and Behavioral Factors - IEEE Xplore
This study aims to design a machine learning model to predict drug addiction. The dataset includes various demographic, psychosocial, and behavioral factors contributing to drug addiction. The ...