About the Journal

Smart Yields in Systems, Technology, Engineering, and Modeling (SYSTEM) is a peer-reviewed academic journal dedicated to the dissemination of scientific knowledge, research findings, and critical studies in the fields of computer systems, technology, engineering, and computational modeling, with particular emphasis on intelligent systems, system integration, and data-driven engineering solutions.

Smart Yields in Systems, Technology, Engineering, and Modeling (SYSTEM) aims to serve as an open forum for academics, researchers, students, and practitioners to publish original research articles, case studies, and literature reviews that contribute to the advancement of theory and practice in the design, development, optimization, and management of complex systems. The journal promotes interdisciplinary perspectives that integrate hardware and software systems, engineering methodologies, and modeling techniques.

The journal covers a broad range of topics including, but not limited to, computer systems and architecture, embedded and cyber-physical systems, Internet of Things (IoT), distributed and cloud computing, system modeling and simulation, performance optimization, artificial intelligence integration, and smart system applications. Special attention is given to innovation, efficiency, reliability, scalability, and sustainability in system design and implementation.

Smart Yields in Systems, Technology, Engineering, and Modeling (SYSTEM) is committed to maintaining high academic standards through a rigorous editorial and peer-review process. All submitted manuscripts are evaluated based on originality, relevance, clarity, and scientific contribution. The journal is published as an open-access journal to ensure wide dissemination of knowledge and does not charge any article submission or publication fees.

Through Smart Yields in Systems, Technology, Engineering, and Modeling (SYSTEM), the editorial board seeks to encourage scholarly exchange, support early-career researchers, and contribute to the advancement of intelligent and sustainable system-based technologies at local, national, and global levels.