The Journal of Future Research in Artificial Intelligence and Internet of Things (FRAI) is a peer-reviewed platform dedicated to pioneering research at the intersection of AI, IoT, Biomedical Engineering, and Neuroscience. The journal highlights transformative technologies that advance intelligent systems, connected devices, and human-machine interactions, with applications spanning healthcare, industry, and beyond.
We invite original research, reviews, and case studies that explore theoretical innovations, practical implementations, and ethical considerations in these fields. Key areas of interest include:
Machine Learning & Deep Learning
Natural Language Processing (NLP)
Computer Vision & Pattern Recognition
Neural Networks & Evolutionary Algorithms
AI Ethics, Trustworthiness, and Explainability
Reinforcement Learning & Autonomous Systems
AI for Big Data Analytics
IoT Architectures and Protocols (5G/6G, LPWAN)
Edge/Fog Computing & Decentralized IoT
Smart Sensors and Embedded Systems
IoT Security, Privacy, and Blockchain
Industrial IoT (IIoT) & Smart Manufacturing
Sustainable IoT for Smart Cities and Agriculture
AI in Medical Imaging & Diagnostics
Wearable IoT for Remote Patient Monitoring
Brain-Computer Interfaces (BCIs)
Neural Engineering & Neuroprosthetics
AI for Drug Discovery & Precision Medicine
Robotics in Surgery and Rehabilitation
Computational Neuroscience
AI Models of Brain Function and Cognition
Neuromorphic Computing & Spiking Neural Networks
Cognitive IoT for Assistive Technologies
Neuroethics and AI-Augmented Neuroscience
AIoT (AI + IoT) for Healthcare 4.0
Federated Learning in Distributed Medical Systems
Smart Implants and Bioelectronic Devices
Neuroscience-Inspired AI Algorithms
FRAI bridges academia and industry, fostering collaborations that push the boundaries of intelligent technologies. Submissions addressing societal impacts, scalability, and real-world deployment are particularly encouraged.