Journals

  • Journal of Intelligent Connectivity and Emerging Technologies

     

    The Journal of Intelligent Connectivity and Emerging Technologies is a peer-reviewed academic publication that focuses on the intersection of intelligent connectivity and emerging technologies. It serves as a platform for researchers, scientists, and practitioners to share their insights and advancements in various fields, including but not limited to:

    1. Artificial Intelligence: The journal explores the latest developments in artificial intelligence (AI) and its applications in various domains such as healthcare, finance, transportation, and more. It covers topics like machine learning, natural language processing, computer vision, and AI ethics.

    2. Internet of Things (IoT): With the rapid growth of IoT, the journal highlights the advancements in intelligent connectivity among various devices and systems. It covers topics like sensor networks, smart homes, industrial IoT, and the integration of IoT with AI and other emerging technologies.

    3. Edge Computing: As edge computing gains momentum, the journal delves into the intelligent connectivity aspects at the network edge. It covers topics like edge analytics, distributed intelligence, edge devices, and their impact on latency, bandwidth, and security.

    4. 5G and Beyond: The journal explores the role of intelligent connectivity in the context of 5G and beyond. It covers topics like network slicing, virtualization, massive IoT deployments, and the integration of AI and machine learning algorithms in the next-generation wireless networks.

    5. Blockchain Technology: The journal also covers the application of intelligent connectivity in blockchain technology. It explores topics like decentralized networks, smart contracts, secure data sharing, and the integration of blockchain with other emerging technologies.

  • Advances in Intelligent Information Systems

    Advances in Intelligent Information Systems is a peer-reviewed scholarly journal that serves as a platform for the dissemination of cutting-edge research in the field of intelligent information systems. The journal provides a comprehensive understanding of the latest advancements, methodologies, and applications in this rapidly evolving domain.

    Intelligent information systems play a crucial role in enhancing decision-making processes and addressing complex challenges in various industries, including business, healthcare, finance, manufacturing, and transportation. This journal serves as a central hub for researchers, practitioners, and academicians to share their innovative ideas, theories, and practical experiences related to the development and utilization of intelligent information systems.

    The scope of Advances in Intelligent Information Systems encompasses a wide range of topics, including but not limited to:

    1. Artificial intelligence and machine learning algorithms for information retrieval and analysis.
    2. Data mining and knowledge discovery techniques in intelligent systems.
    3. Intelligent data processing and management.
    4. Natural language processing and understanding.
    5. Intelligent agents and multi-agent systems.
    6. Decision support systems and expert systems.
    7. Intelligent user interfaces and human-computer interaction.
    8. Intelligent information visualization and data analytics.
    9. Intelligent systems for recommendation and personalization.
    10. Intelligent information security and privacy.

  • Journal of Big-Data Analytics and Cloud Computing

     

    The Journal of Big Data Analytics and Cloud Computing (JBDACC) is a multidisciplinary scholarly publication dedicated to advancing the theory, methodologies, and applications of big data analytics and cloud computing. It serves as a comprehensive platform for researchers, practitioners, and industry professionals to disseminate and exchange knowledge in these rapidly evolving fields.

    The journal invites high-quality original research articles, reviews, case studies, and technical notes that explore the various aspects of big data analytics and cloud computing. It encompasses a wide range of topics, including but not limited to:

    1. Big Data Analytics:

      • Data mining and knowledge discovery
      • Machine learning and deep learning algorithms
      • Predictive modeling and pattern recognition
      • Sentiment analysis and opinion mining
      • Text mining and natural language processing
      • Social network analysis and graph mining
      • Real-time and stream data analytics
      • Visual analytics and data visualization
      • Scalable and distributed data analytics

    2. Cloud Computing:

      • Cloud architecture and infrastructure
      • Cloud resource management and scheduling
      • Virtualization techniques and technologies
      • Cloud security and privacy
      • Cloud-based data storage and retrieval
      • Cloud-based machine learning and AI
      • Fog and edge computing
      • Serverless computing
      • Cloud-native applications and microservices

    The Journal of Big Data Analytics and Cloud Computing encourages contributions that demonstrate novel approaches, methodologies, and frameworks, as well as their practical applications and potential impact across various domains, such as healthcare, finance, e-commerce, transportation, social media, and more.