Mirage News

COVID-19's Impact on Urban Traffic Patterns

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
IEEE

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review

Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...
GitHub

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models

After downloading the WSIs, please use the CLAM repository to pre-process the WSIs and extract the features. The features should be put into the ./data directory. Then, use the h5toPyG.ipynb notebook ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
IEEE

Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs

Abstract: In today’s digital era, where information flows seamlessly and is readily available and accessible. However, these information and communication systems are highly dependent on the ...
GitHub

gradient-descent

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...