IEEE

Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals

Abstract: Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. Small electronic devices capable of doing that will improve ...
Trains on MSN

Startup's drones use high-tech to find coupler problems in yards

HOUSTON — Tech startup Unspace was founded in 2020. Since 2022, it has been advancing machine learning in the field of machine vision to improve rail safety and operational efficiency, a journey that ...

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 ...

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

Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research

Abstract: This paper presents a comprehensive review of current literature on drone detection and classification using machine learning with different modalities. This research area has emerged in the ...