Devdiscourse

How machine learning and IoT are building factories of future

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Scientific Research Publishing

Explainable AI: Enhancing Clinician Trust and Accuracy in Prostate Cancer Diagnosis ()

Prostate cancer remains one of the most prevalent malignancies among men worldwide and achieving an accurate and timely diagnosis is essential for guiding appropriate treatment decisions and improving ...
IEEE

Development of Ensemble Learning Algorithms for Pulmonary Disease Detection System

Abstract: The rising global cases of pulmonary diseases require new diagnostic methods beyond traditional techniques because they depend on subjective human analysis which proves inefficient to the ...
IEEE

Adaptive Honeypots using Reinforcement Learning Algorithms DQN and DDQN in Ensemble Framework: A Systematic Literature Review

Abstract: The exponential growth of sophisticated cyber threats has necessitated the evolution from traditional static honeypots to intelligent, adaptive deception systems. This systematic literature ...
GitHub

Real-time anomaly detection system with multiple ML algorithms (Isolation Forest, Statistical Z-score, LSTM Autoencoder) and ensemble voting for streaming data processing.

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Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...