Current Issue
This issue explores the dynamic convergence of advanced technologies such as blockchain, convolutional neural networks, and ensemble machine learning models to address pressing challenges across healthcare, communication, and smart grid applications. In an era marked by rapid digital transformation, ensuring secure, efficient, and scalable solutions is crucial. The papers in this issue present innovative approaches that redefine technological integration in areas like 6G-enabled healthcare systems, fortified encryption methods, and resilient smart grids.
Key highlights include a blockchain-empowered 6G framework for intelligent medical applications that enhances data security and responsiveness, as well as a study on convolutional neural networks that bolsters encryption and decryption mechanisms for secure data exchanges. Also featured is an analysis of detecting cyber-physical attacks in smart grids and IoT environments, emphasizing the need for robust defense mechanisms. Further reviews on long-distance optical fiber communication systems, machine learning models for breast cancer prediction, and cloud computing services for distributed mobile devices add depth to the discourse, each contributing unique insights into scalability and resilience for future networks.
This collection aims to serve as a valuable resource for researchers, engineers, and healthcare professionals who seek to harness the power of AI, blockchain, and IoT to drive advancements in intelligent and secure networks across various fields.
Articles
About the Journal of Artificial Intelligence and Internet of Things
Purpose
This journal aims to provide the up to date advances in Artificial Intelligence (AI) and the Internet of Things (IoT) implementation in technology and interdisciplinary fields such as Medical Science, Applied Mathematics, Environmental Science, Business Management, and Computer Science. It covers an in-depth knowledge of the Artificial Intelligence of Things (AIoT) technology in emerging computing and telecommunication paradigms. It is a peer-reviewed journal published twice a year in April and October. It promotes qualified academic contributions in the field of computer science and artificial intelligence engineering while targeting original problems and novel solution in an objective framework to the knowledge of the academic world.
Scope
Other AI or IoT journals might exists, however, this unique integration hasn’t been provided before. Realizing the future and full potential of IoT devices will require an investment in new enabling technologies and intelligence techniques. The convergence of AI and IoT can redefine the way industries, business, and economies function. Intelligent IoT creates intelligent machines that simulate smart behavior and supports in decision making with almost no human interference. Combining the AI and IoE streams together benefits the common person and specialists alike. While IoT deals with devices interacting using the internet, AI makes the devices learn from their data and experience in order to provide the futuristic world we are looking for. In the following a few more unique features to be considered:
- Provides an exhaustive coverage of global research work in the fields of applied AI techniques under the IoT circumstances
- Helps researchers trace ongoing research work in the fields of Intelligent IoT
- Introduce new ideas and implementations challenges that have to be solved for more efficient performance
- Emphasize the need for new solutions and practical alternatives for the existing old fashion techniques in automation.
Topics: ICTs, Data Science, AI/ML/DL, Cyber Physical Spaces (CPS), IoT, IoE, Cloud, Smart edge, AIoT, Smart Mobile Computing, Security and privacy in Intelligent IoT, AI algorithms for Intelligent IoT, innovative applications and services, etc…
