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 1 (2026)
A Blockchain-based Framework for Securing Academic Credentials
Aparna R, Renuka Prasad S, Sanjith C B, Siddharth K U, Soham S Chitragar
A Framework for Predicting Analytics of Cardiovascular Disease using Convolutional Neural Networks (CNN)
Thiyagu T, M. Azhagiri, Tamilselvan T, Govinda Rajulu. G, Ganeshan R
Decentralized Federated Deep Learning for Early Detection of Breast Cancer in Heterogeneous Health Records
Abirami S.P, Rajasree S, Poornima S, Priya S, Priyadharshini A
A Privacy-Preserving Healthcare Architecture using Blockchain and Advanced Deep Learning
Pramod Chindhu Patil, Sivaram Ponnusamy, Ankita Karale
Review on Harnessing Artificial Intelligence for Parkinsons Disease
Pragadeeswaran Sundaresan, Raju T, Tamilselvan T, Thiyagu T, Govinda Rajulu. G
Secure and Global Validation System for Academic Degrees using Blockchain
Aditya Singh, Akansha Gangwani, Anurag Singh, Ayush Nimkar, Nandini Shukla
Lightweight Federated Intrusion Detection with Secure Aggregation for Healthcare IoT
Rakesh V S, Shankara Gowda S R, Anupama Vijaykumar, Mithun B N, Aparna K S
Prediction of Sugar and Carbohydrate in Sapota using Hyperspectral Image Segmentation
Nitesh Dani, Manoj B. Chandak
Commercial Website for Student Training and Consultancy using MERN Stack
Govinda Rajulu G, Tamilselvan T, Thiyagu T, Pragadeeswaran Sundaresan, Ganeshan R
Bridging the Agricultural Market Gap: Design and Development of ShetkariMitra Web Application
Sachin Kamble, Anam Arif Shaikh, Nikita Ramkrushna Patil, Sakshi Sunil Patil, Kunal Harish Patil
Quantitative Risk Scoring of Loan Documents using Weighted Keyword Matching and Semantic Similarity
Khushi Mantri, Rashi Potey, Shinosha Jain, Sunidhi Admane
Toward Legal Reasoning Automation: Predicting Court Decisions with NLP and Deep Learning Approach
Shyamrao A. Gade, Sivaram Ponnusamy
Proxy Re–Encrypted Key for AES Encryption Model
Addapalli VN Krishna, Donin C James, Alphy Jose, Edwin Baby
Synthetic Video Integrity Analyzer using Vision Transformer (ViT)
G. Kalyani, S. Lakshmi Ragha Mounika, Leena Khamar Sultana, B. Sunny, B. Pandu
Jamming Attack Identification in Cognitive Radio Networks: An Adversarial Behavior Perspective
Chhaya C. Athavale, K.P. Patil
Smart Implementation of Plant Disease Detection System using Machine Learning
Smita Mande, Hiba Patel
Linear Regression Excel in Predicting Government R and D Expenditure: ML Comparison and District Economic Clustering
Vinay Vikrant Khatodiya, Praveen Ailawalia, Naveen Kumar Mani
How Does Your Prompt Get Responses: A Study of Distance Measuring Algorithms
Vishal Garg, Ravinder Singh Madhan
Machine Learning Operations (MLOps): A Comprehensive Study of Life Cycle, Implementation Strategies, and Platform Architecture
Vishal Garg, Ravinder Singh Madhan
VulneraXpert: Smart Web Vulnerability Detection Scanner
Adilakshmi Yannam, Jami Anjana Adi Sathvik, Persis Jandrajupalli, Harikrishna Metlapalli, Puppala Sandeep
Semantic Simplification and Regional Translation of Legal Texts using LLMs and Sentence Segmentation
Shivappa M Metagar, Vinayak V Pottigar, Farooque R Sayyed
AI- Colormilk: Colorimetric AI for Microbial Quality Assessment of Milk
Shrujani Pandit, Aparna Vitkar, Pooja Varfalkar, Sunita Nandgave
Hybrid Transformer Model for Skin Lesion Classification with Focuses on Monkeypox Diagnosis
Imran Mehdi, Neerendra Kumar, Harnain Kour
A Hybrid Deep Learning based Network Anomaly Detection System with Real-time Dashboard for Zero Day Attack Mitigation
A. Neela Madheswari, Arun K, Kabilan M, Harish R
Deep Learning-based Detection of Depression Severity
Priyanka More, Rucha Patil, Sakshi Hedke, Sanika patil, Juilee Talekar