Outlook Business

IIT Roorkee Opens Admissions For The 11th Batch Of Its Post Graduate Certificate In Data Science, Machine Learning & Generative AI

IIT Roorkee has opened admissions for the 11th batch of its Post Graduate Certificate in Data Science, Machine Learning & ...

Classiq and UC Chile Launch Quantum AI Research for Biomedical Image Analysis Leveraging Integration with NVIDIA CUDA-Q

The 12-month engagement, titled “Enhancing Pathology through Quantum Computing,” is funded through Avanza UC 2025, the Internal Research and Creation Competition of UC Chile. To the collaborators’ ...
OfficeChai

AI Crypto Price Prediction: How Accurate Are Machine Learning Models?

Crypto markets generate more usable data than almost any other financial sector. Prices move at all hours, blockchain activity is visible as ...
Glass Magazine

k-Space Introduces Machine Learning Upgrade for Inline Glass Defect Detection

Space Associates, Inc., a provider of advanced metrology and inspection solutions, announced new machine learning capabilities for its kSA Glass Breakage & Defect Detection tool. The enhancement adds ...
Devdiscourse

Banks could strengthen credit card fraud screening with ensemble machine learning model

Read more about Banks could strengthen credit card fraud screening with ensemble machine learning model on Devdiscourse ...
Devdiscourse

How AI is reshaping UAV cybersecurity and where it falls short

The study, titled Artificial Intelligence Methods for Unmanned Aerial Vehicles Cybersecurity: A Comprehensive Survey and published in Drones, maps AI-based cybersecurity research for unmanned aerial ...

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

As artificial intelligence becomes a core part of business infrastructure, the quality of training data is now one of the most important factors behind model performance. US-DATA ...
IEEE

An Overview and Classification of Machine Learning Approaches for Radar Signal Deinterleaving

Abstract: Electronic Warfare (EW) receivers are passive systems that are designed to detect and identify active radar emitters in the environment. The radar pulses emitted by multiple sources are ...
IEEE

FARCI+: Enhancing Fuzzy Rule-Based Classification for Imbalanced Problems via Choquet Integral Generalizations and Support Tuning

Abstract: Imbalanced classification problems pose a significant challenge in machine learning, especially when the minority class contains critical information. In this context, Fuzzy Rule-Based ...
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Scientific Research Publishing

Altalhan, M., Algarni, A. and Turki-Hadj Alouane, M. (2025) Imbalanced Data Problem in Machine Learning: A Review. IEEE Access, 13, 13686-13699.

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...