IEEE

Improved Isolation Forest-Based Anomaly Detection for Cooperative Spectrum Sensing Against SSDF Attack in CWSNs

Abstract: Cognitive radio (CR) technology aims to address spectrum scarcity by allowing sensor nodes (SNs) to detect and opportunistically access channels that are not utilized by primary users (PUs), ...
IEEE

Short-Circuit Diagnosis of Lithium-Ion Batteries Using Deep Isolation Forest in Energy Power Systems

Abstract: Short-circuit faults in lithium-ion batteries (LIBs) pose serious safety risks, including thermal runaway, making timely detection critical for the safe operation of battery systems, ...
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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GitHub

random-forest-scikit-learn-python-gradio

Machine Learning project to predict water potability using supervised learning algorithms with data preprocessing, model comparison, and deployment using Gradio. Gradio. data preprocessing, model ...