A CNN-Fuzzy Logic Approach for Real-Time Intrusion Detection and Prevention in Industrial IoT Systems Aziboledia Frederick Boye Onate Egerton Taylor Vincent Ike Emeka Emmanuel Okoni, Bennett Volume 2, Issue 10, Pages 1-13, October 2025 With the growing integration of the Industrial Internet of Things, securing these systems from cyberattacks and cyber threats has become critical. This research proposes a novel real-time intrusion detection and prevention (IDPS) combining Convolutional Neural Networks (CNN) and Fuzzy Logic (FL) approach for the industrial IoT systems tested on the dataset. Implemented in Python programming l... Read More Article DOI: doi.org/10.47001/JAIET/2025.210001
Dynamic and Robust 6G IoT Framework for Assistive Applications Using Graph-Augmented Learning Ms. Anjana Devi Volume 2, Issue 10, Pages 14-21, October 2025 The evolution of sixth-generation (6G) wireless communication is expected to enable ultra-reliable, low-latency, and intelligent connectivity for next-generation Internet of Things (IoT) ecosystems. Assistive applications—such as remote healthcare monitoring, smart rehabilitation systems, wearable support devices, and intelligent mobility aids—require highly adaptive and resilient network... Read More Article DOI: doi.org/10.47001/JAIET/2025.210002
Cloud-Connected IoT Framework for Real-Time Fall Detection and Assisted Living Support Yogesh Yadav Volume 2, Issue 10, Pages 22-26, October 2025 The rapid growth of aging populations worldwide has increased the demand for intelligent, reliable, and real-time healthcare monitoring solutions. This research proposes a Cloud-Connected IoT Framework for Real-Time Fall Detection and Assisted Living Support, designed to enhance safety, autonomy, and quality of life for elderly individuals. The proposed system integrates wearable and ambient ... Read More Article DOI: doi.org/10.47001/JAIET/2025.210003
Deep Learning Approach for Precision Disease Classification in Rice Crops Oluwaseun Adeyemi Temiloluwa Adebayo Olamide Balogun Adebimpe Ogunleye Volume 2, Issue 10, Pages 27-35, October 2025 Rice is a staple crop supporting a significant portion of the global population, and early detection of crop diseases is critical for ensuring food security and sustainable agricultural productivity. This research proposes a Deep Learning Approach for Precision Disease Classification in Rice Crops, aimed at developing an automated, accurate, and scalable system for identifying common rice pla... Read More Article DOI: doi.org/10.47001/JAIET/2025.210004
ShipNet: High-Resolution Ship Detection Using Convolutional Neural Networks Suvasree Mondal Saurabh Pandey Volume 2, Issue 10, Pages 36-42, October 2025 Accurate and efficient detection of ships in high-resolution optical images is critical for maritime surveillance, port management, and environmental monitoring. This research proposes ShipNet: High-Resolution Ship Detection Using Convolutional Neural Networks (CNNs), a deep learning framework designed to automatically identify and extract ships from satellite and aerial imagery with high pre... Read More Article DOI: doi.org/10.47001/JAIET/2025.210005
