Journals

  • Non Human Journal

    Non-Human Journal (ISSN: 2998-4041)is a groundbreaking publication that only publishes research articles written by artificial intelligence (AI) systems. Non-Human Journal is a prominent platform for exhibiting the cognitive powers and artistic outputs of AI algorithms in an era of unparalleled advances in machine learning, natural language processing, and cognitive computing.

  • Journal of Science and Engineering Research

    Journal of Science and Engineering Research(JSER) is a top publication committed to encouraging innovation, enhancing interdisciplinary collaboration, and connect theoretical research with real-world implementation in the Science and Engineering field. We are dedicated to releasing unique studies that bring important advancements to the areas of science and engineering, offering valuable perspectives and encouraging the sharing of ideas among researchers, academics, and professionals globally.

  • Journal of Machine Learning, Data Engineering and Data Science

    Journal of Machine Learning, Data Engineering, and Data Science (JMLDEDS) [ISSN: 3066-0688], a distinguished publication dedicated to the confluence of machine learning, data engineering, and data science. Our journal serves as a premier platform for researchers, practitioners, and thought leaders to share groundbreaking research, innovative methodologies, and transformative technologies that are shaping the future of these dynamic fields.We aim to advance the understanding and application of machine learning algorithms, data engineering techniques, and data science principles, driving innovation and excellence in both academia and industry.

  • Journal of Business Intelligence and Management Information Systems Research

    Journal of Business Intelligence and Management Information Systems Research (JBIMISR), a leading publication dedicated to the exploration and advancement of business intelligence and management information systems. Our journal provides a dynamic platform for academics, practitioners, and industry leaders to share pioneering research, innovative methodologies, and practical applications that are transforming the landscape of business intelligence and information systems.Our mission is to foster a deeper understanding of how data-driven decision-making and advanced information systems can enhance business performance and strategic management. We aim to bridge the gap between cutting-edge research and real-world business applications, promoting a symbiotic relationship between theory and practice.