Feasible Implementation of Explainable AI Empowered Secured Edge Based Health Care Systems
Optimized Deep learning Frameworks for the Medical Image Transmission in IoMT Environment
Smart IoT based health care environment for an effective information sharing using Resource Constraint LLM Models
Enhancing Blockchain Framework Using Web3.0 for IoT Based Plant Disease Detection System
Chat-GPT Powered IoT devices using regularizing the data for an efficient management systems
The Journal of Smart Internet of Things (JSIoT) is a peer-reviewed, open-access international journal committed to publishing high-quality research in the parallel fields of Artificial Intelligence (AI) and the Internet of Things (IoT). The journal provides a platform for researchers, academicians, and industry experts to share advancements, theoretical foundations, practical implementations, and interdisciplinary innovations across both domains.
Scope of the journal includes, but is not limited to:
Artificial Intelligence (AI):
- Machine learning and deep learning
- Computer vision and natural language processing
- Intelligent decision-making and reasoning systems
- AI in robotics, automation, and autonomous systems
- Ethical, explainable, and human-centric AI
- AI applications in healthcare, education, industry, and beyond
Internet of Things (IoT):
- IoT architecture, design, and deployment
- Smart sensors, devices, and wireless communication
- Edge, fog, and cloud integration for IoT
- IoT data analytics and real-time monitoring
- Security, privacy, and trust in IoT systems
- IoT applications in smart cities, agriculture, energy, and transportation
The journal encourages original research, review articles, and case studies that contribute to the development, integration, and future trends of AI and IoT as distinct yet interconnected disciplines.
Publishing Frequency: JSIoT is published bi-annually (two issues per year).
Archiving
Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.
Plagiarism Policy
The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process.