Journals

  • International Journal of Machine Intelligence for Smart Applications

    International Journal of Machine Intelligence for Smart Applications (IJMISA)

    Description: The International Journal of Machine Intelligence for Smart Applications (IJMISA) is a premier peer-reviewed journal focused on the intersection of machine intelligence and its innovative applications in smart environments. Dedicated to disseminating the latest research, findings, and insights, IJMISA serves as a platform for scholars, researchers, and practitioners across the globe to share advancements in algorithms, techniques, models, and their real-world implementations in various smart applications.

    Scope:

    • Machine learning algorithms and their enhancement for real-time applications.
    • Deep learning and neural networks in smart systems.
    • Cognitive computing and natural language processing for smart interfaces.
    • Predictive analytics for smart cities, healthcare, transportation, and energy.
    • Intelligent robotics and automation in smart industries.
    • Internet of Things (IoT) integrated with AI for connected applications.
    • Ethical considerations, security, and privacy in machine intelligence for smart applications.
    • Case studies, success stories, and challenges in implementing AI in smart environments.

    Audience: Researchers, academicians, industry professionals, and students in the fields of machine intelligence, computer science, smart cities, robotics, and IoT will find the articles and research presented in IJMISA useful.

  • Journal of Applied Smart Health Care Informatics

    The Applied Smart Health Care Informatics (JASHI) is a leading peer-reviewed journal dedicated to the interdisciplinary exploration of the integration of health information technology with intelligent systems to advance healthcare management. JASHI places a keen emphasis on how contemporary methodologies, such as artificial intelligence (AI), meta-heuristic algorithms, deep learning, and the Internet of Things (IoT), can be applied to address challenges and opportunities in the healthcare sector. Through rigorous research and case studies, the journal seeks to provide insights into the effective management and utilization of healthcare data, thereby aiding professionals in optimizing patient care and operational processes.