The SPC Journal of Artificial Intelligence & Smart Systems (SPCJAISS) is an international, peer-reviewed, open-access journal dedicated to advancing the field of artificial intelligence and its integration into intelligent and smart systems. The journal provides a prestigious platform for researchers, academicians, engineers, and industry practitioners to publish high-quality original research articles, review papers, case studies, and innovative technological developments in artificial intelligence and related disciplines. SPCJAISS covers a wide range of topics, including machine learning, deep learning, natural language processing, computer vision, intelligent agents, reinforcement learning, explainable AI, smart automation, Internet of Things (IoT), edge computing, cyber-physical systems, and data-driven decision-making. The journal is committed to promoting interdisciplinary research and fostering collaboration between academia and industry to accelerate the development of intelligent solutions that address real-world challenges. By bridging cutting-edge AI research with practical smart system applications, SPCJAISS aims to contribute significantly to scientific innovation, technological advancement, and sustainable development worldwide.
The review process typically takes 4–8 weeks, depending on reviewer availability and the complexity of the manuscript. If accepted, the final version of the paper will be published online within 1–2 weeks and included in the next available issue. SPCJAISS maintains a selective peer-review process with an acceptance rate of approximately 25–30%, ensuring the publication of high-quality, impactful, and innovative research contributions in the rapidly evolving field of artificial intelligence and smart systems.
The SPC Journal of Artificial Intelligence & Smart Systems (SPCJAISS) is an international, peer-reviewed, open-access journal dedicated to advancing the field of artificial intelligence and its integration into intelligent and smart systems. The journal provides a prestigious platform for researchers, academicians, engineers, and industry practitioners to publish high-quality original research articles, review papers, case studies, and innovative technological developments in artificial intelligence and related disciplines. SPCJAISS covers a wide range of topics, including machine learning, deep learning, natural language processing, computer vision, intelligent agents, reinforcement learning, explainable AI, smart automation, Internet of Things (IoT), edge computing, cyber-physical systems, and data-driven decision-making. The journal is committed to promoting interdisciplinary research and fostering collaboration between academia and industry to accelerate the development of intelligent solutions that address real-world challenges. By bridging cutting-edge AI research with practical smart system applications, SPCJAISS aims to contribute significantly to scientific innovation, technological advancement, and sustainable development worldwide.
The review process typically takes 4–8 weeks, depending on reviewer availability and the complexity of the manuscript. If accepted, the final version of the paper will be published online within 1–2 weeks and included in the next available issue. SPCJAISS maintains a selective peer-review process with an acceptance rate of approximately 25–30%, ensuring the publication of high-quality, impactful, and innovative research contributions in the rapidly evolving field of artificial intelligence and smart systems.