Comprehensive Survey of Deep Learning-Based Intrusion Detection for IoT Wireless Sensor Networks – Volume 11 Issue 5 | Satish Dekka | IJET Journal 2025 International Journal of Engineering and Techniques (IJET) Open Access • Peer Reviewed • High Citation & Impact Factor • ISSN: 2395-1303 IJET-V11I5P16 | Volume 11 Issue 5 | September – October 2025 Comprehensive Survey of Deep Learning-Based Intrusion Detection for Securing Routing in IoT Wireless Sensor Networks Authors: SATISH DEKKA , Dr. PRASADU PEDDI , Dr. MANENDRA SAI DASARI SATISH DEKKA — Research Scholar, Shri JJT University, Rajasthan. Dr. PRASADU PEDDI — Guide, Shri JJT University, Rajasthan. Dr. MANENDRA SAI DASARI — Co-Guide, Shri JJT University, Rajasthan. Science Journal Submit UGC Paper Submission High-Impact Submission Abstract The proliferation of Internet of Things (IoT) Wireless Sensor Networks (WSNs) incritical sectors demands robust security solutions to co...
Artificial intelligence and machine learning continue to revolutionize technology, science, and society in 2025. From environmental sustainability to advanced deep learning systems, researchers worldwide are pushing the boundaries of what's possible with AI. This comprehensive review highlights seven groundbreaking research papers published in the International Journal of Computer Techniques (IJCT) that represent the cutting edge of AI and machine learning innovation. 1. Carbon Footprint Analysis of AI Models As artificial intelligence systems grow more powerful, their environmental impact becomes increasingly critical. This research explores how geographical location and energy sources affect AI model carbon footprints, providing essential insights for sustainable AI development. The study offers actionable strategies for reducing the environmental cost of training large-scale machine learning models . 2. AI-Driven Renewable Energy Optimization Renewable energy systems require in...
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