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GRENZE International Journal of Engineering and Technology
GRENZE International Journal of Engineering and Technology
The Grenze International Journal of Engineering and Technology (GIJET), is a multi-disciplinary journal which covers all aspects of scientific, engineering and technical disciplines including applications of scientific inventions for engineering, technological and industrial purposes, advances in engineering, technology and science. Published Twice-yearly, focuses on the frontier topics in the Computer Science, Civil, Mechanical, Electrical and Electronics Engineering subjects.
Browse Issues
Volume 12, Issue 2 (2026)
AI Embeddings-based Flood Susceptibility Mapping in Kerala: A U-Net Deep Learning Approach
M S Kendagannaswamy, C K Roopa, B S Harish
A Comparative Study of Intracranial Aneurysm Diameter Measurement Approaches
Prasanna U M, B S Harish, C K Roopa
Rare?Attack?Aware Hybrid Deep Learning for IoT Intrusion Detection
Rahul B R, Prasanna B T
Revolutionizing Lung Cancer Prognosis using a Quantum Approach for Uncertain Medical Data
Jayasheela S D, V N Manjunath Aradhya, Manoj Kumar C S, Nikhil D Bharadwaj
Early Prediction and Healing Assessment of Neuronal Disorder in Autism using a Non-Linear EEG basis Model and Bio-Energetic Correlation During Raga Therapy
Rohith M. N, U. B. Mahadevaswamy, Chinmay Datt D
IoT Intrusion Detection through Traffic Feature Categorization and Preprocessing Optimization
Kumaraswamy M C, Prasanna B T
Smart Battery Management: Extending EV Battery Lifespan through Balancing and Machine Learning
Prathibha D, Mohan N
A Comprehensive Study of Understanding the Dynamics of Cyber Grooming through Behavioral Analysis
Vinooth P, Anil Kumar K M
Deep Learning-based Synthetic Brain MRI Generation for Enhanced Brain Tumor Detection
Vaishnavi, Vanishri Arun
Evaluation of Water Quality using Machine Learning and Deep Learning Approaches
Savitha N, Srinath S
A Deep Learning Approach for Standing Yoga Pose Recognition using YOLOv11-based Keypoint Detection
Pavithrakumar L, Jayashree N V
Smart IoT Health Monitoring System with AI-based Anomaly Detection
Anitha S Prasad, Uday K, Ishanth P, Veeresh
A Comprehensive Survey on AI Hallucination Detection and Trust Evaluation in Large Language Models
Nithin S, Tejaswi K
Machine Learning versus Deep Learning for Network Traffic Anomaly Detection: A Systematic Literature Review
Shree Kantesh K H, Tejaswi K, Shivakumara T, Renuka L, Anusha
Autism Spectrum Disorder Diagnosis through Machine Learning: Techniques, Applications, and Clinical Challenges
Shashank M P, Shashidhar
Automated Axial Triradius Detection and Classification using Deep Learning: A Preliminary Study for Non- Invasive Cardiac Screening
Halesh M R, Shankaraiah
Different Machine Learning Approaches in Material Science: A Study
Shruthi K, Siddesha S
Groundwater-Level Forecasting: Evolution from Conventional to Quantum-Inspired Approaches
K Vimarsha, M S Maheshan
Few-Shot Learning for Binary Classification in Red Chilli Powder
Srividhya C.S, Siddesha S, Rekha GR
A Taxonomy and Survey of Multi-Agent Retrieval- Augmented Generation: Architectures, Evaluation, and Open Challenges
Renuka L, Tejaswi K, Shree Kantesh K H, Divyashree B K
IoT-based Flood Detection and Alerting System
Anitha S Prasad, Veena M G, Gagan Deep S, Amit Verma, Darshan
A Systematic Comparison of Ransomware Protection through Comprehensive Analysis for Effective Detection
Spandana Shashikumar, S B Rudraswamy
Vehicle Re-Identification Spanning Ground, Aerial, and Cross-View Domains
Amrutha Krishna, H R Chennamma
Driver-Mode-based Fuzzy Logic Power Spilt Strategy for Hybrid Electric Vehicles
Rakesh M D, Rudraswamy S B, Rohan R, Sinchana M N
Steering-Predictive Adaptive Regenerative Braking Control for Improved Vehicle Stability in Electric Vehicles
Rakesh M D, Rudraswamy S B, Rakshitha P, Monika V