Vol. 2 No. 1 (2024)

This issue presents scholarly contributions in electrical engineering, industrial energy systems, medical machine learning, and advanced intelligent control systems. The published studies address efficiency enhancement in electrical power distribution within large-scale industrial settings, analyzing practical techniques, operational challenges, and optimization strategies in high-availability process environments.

The issue further evaluates machine learning–based COVID-19 detection systems and provides analytical simulations of advanced deep neural network approaches for PSVT arrhythmia detection, with emphasis on innovative feature extraction and classification techniques. Additionally, the design and implementation of an intelligent adaptive control system for optimizing radiotherapy dosage based on patient biofeedback are examined from both technical and clinical perspectives.

Moreover, performance optimization of distributed control systems (DCS) based on PCS7 architecture using redundant S7-400H controllers in high-reliability process units is investigated as a strategy to enhance operational stability and system resilience.

All contributions have undergone a rigorous peer-review process and aim to deliver technology-driven and application-oriented solutions for industrial efficiency, medical diagnostic accuracy, and advanced control system reliability.