TMCnet

MSCI Announces the Results of the MSCI 2026 Market Classification Review

MSCI released the results of the MSCI 2026 Market Classification Review. Key takeaways from this year's review include: ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Agence France-Presse

Aptiv Introduces Advanced Occupancy Classification, The Industry’s First Camera-Only Occupant Detection System

Aptiv PLC (NYSE: APTV), a global industrial technology company, today announced the launch of its Advanced Occupancy ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

IIT Roorkee opens admissions for the 11th batch of its post graduate certificate in data science, machine learning & generative AI

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...
IEEE

Hierarchical Multi-Class and Multi-Label Text Classification for Crime Report: A Traditional Machine Learning Approach

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

US-DATA, a data annotation company specializing in machine learning and computer vision projects, announces the expansion of ...
Nature

Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models

Accurate soil information is crucial for sustainable agricultural planning and land management, particularly in data-scarce regions, such as the Sudan Savanna, the largest sorghum-producing area in ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...