Target Filter Tracking Algorithm Based on IABBSCA-IMM

Article Computer Science, Artificial Intelligence

Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm

Ramakant Chandrakar et al.

Summary: This study proposes an enhanced system for automatic moving object detection and object tracking in traffic videos. By filtering, color conversion, and background removal, the RBF-FDLNN classifier is utilized for object detection, outperforming other existing methods.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

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Article Computer Science, Information Systems

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

Sohrab Mokhtari et al.

Summary: The study proposed a novel solution called MIDS based on measurement data in the SCADA system, to detect abnormal activities in industrial control systems effectively even if attackers try to conceal them in the system's control layer. The supervised machine learning model, tested on a HIL testbed with various machine learning algorithms, demonstrated that random forest performed better in detecting anomalies.

ELECTRONICS (2021)

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Article Automation & Control Systems

Adaptive Transition Probability Matrix-Based Parallel IMM Algorithm

Guo Xie et al.

Summary: A Bayesian-based online correction function is proposed, which can adaptively adjust the transition probabilities and improve the correction function through a model jumping threshold in the IMM algorithm. An adaptive transition probability-based parallel IMM algorithm is proposed to enhance response speed and accuracy of state estimation. Three maneuvering target tracking simulations are conducted to validate the effectiveness and feasibility of the proposed algorithm.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

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Article Optics