Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...
eSchool News

From momentum to endurance: Scaling structured literacy with implementation science

When it comes to structured literacy, implementation science is a roadmap for translating the science of reading into ...
Intuit on MSN

How to train an artificial intelligence (AI) model, no experience necessary

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Opinion
Scientific Research PublishingOpinion

Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI Research Methods ()

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...
eLife

Overcoming distortion in multidimensional predictive representation

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...
IEEE

Implementation of Various Machine Learning Algorithms for Prediction Analysis of Fetal Health Incorporating Feature Retraction

This study investigates the performance of various machine learning algorithms in the prediction of fetal health, emphasizing the impact of feature retraction on model accuracy and efficiency. Five ...
IEEE

Machine Learning-Based Logistic Regression with Hybrid Loss Function for Enhanced Spectrum Sensing

Abstract: In the field of radio technology, the scarcity of spectrum resources has become increasingly severe, while demands for higher accuracy and speed in spectrum sensing technologies continue to ...
Scientific Research Publishing

A Lightweight Interpretable Machine Learning Framework for Parkinson Disease Detection with Feature Selection Technique ()

1 Department of Computer Science and Engineering, The People’s University of Bangladesh, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, ...
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Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...