The integration of deep learning (DL) into energy grid optimization presents transformative opportunities to enhance efficiency and reliability in modern power systems. This framework explores the application of DL algorithms in optimizing energy distribution, load forecasting, f...
Open access
Research Article10.9734/jerr/2025/v27i41473
Mechanical engineering education faces the challenge of providing students with practical, hands-on experiences that bridge the gap between theoretical concepts and real-world applications. This paper presents a pedagogical model designed to enhance mechanical engineering educati...
Open access
Research Article10.9734/jmsrr/2025/v8i1389
Ensuring safety in semiconductor manufacturing is a critical aspect of maintaining operational efficiency and protecting workers from hazardous conditions. This study proposes a theoretical framework for enhancing safety in semiconductor manufacturing through process optimization...
Open access
Research Article10.9734/jmsrr/2025/v8i1388
This review explores the critical balance between cost optimization and environmental compliance within the gas processing industry. As companies face increasing pressure to enhance operational efficiency while adhering to stringent environmental regulations, this paper examines...
Open access
Research Article10.9734/ajarr/2025/v19i3944
Stakeholder engagement is increasingly recognized as a critical factor in advancing sustainability practices within circular economy models. As the traditional linear economy shifts towards circular principles emphasizing resource efficiency, waste reduction, and lifecycle manage...
Open access
Research Article10.9734/sajsse/2025/v22i1950