Vol. 1 No. 1 (2023)
This issue presents scholarly contributions in renewable energy systems, artificial intelligence, image processing, Internet of Things (IoT), power engineering, and industrial optimization. The published studies propose an optimal control strategy for wind turbines aimed at maximizing output power and improving power quality, and evaluate the efficiency of power generation plants using a network-based Data Envelopment Analysis (DEA) approach.
The issue further explores the role of machine learning and artificial intelligence in medical applications, and analyzes the design and simulation of optical filters based on photonic crystals. Emerging challenges and innovative approaches in IoT, image processing, and machine learning applications are examined, alongside improvements in accuracy for visual question answering systems in recognizing human actions.
Additional contributions investigate the impact of machinery performance disruptions on production planning and preventive maintenance systems within industrial environments. All contributions have undergone a rigorous peer-review process and aim to provide technology-driven and solution-oriented insights for enhancing energy efficiency, intelligent system performance, and industrial operational reliability.
