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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 11, Issue 2 (2025)
Earthquake Forecasting in Kyrgyzstan using Machine Learning: A Random Forest Approach
Ravinder Kumar, Priya sharma
Asthma and Atopic Dermatitis Detection using Deep Learning
M S N D Sowjanya, Eswaraiah Rayachoti, Mathi Haneesh Sai, Bestha Manoj Sai
Trust-Based Energy Optimization for Data Aggregation in Wireless Sensor Networks
Ayush Sharma, Sunny Arora
Deep Learning-Based Prediction System of Energy Load from Solar and Wind Energy
S. Siva Ramakrishna, Parupalli Ganesh Krishna, Shaik Kareem
NutriScan: An Estimation of Nutrition and Volume of Food Item through Monocular Image Analysis
Shreya N Palavalli, Vibha Jamadagni, Shrithik Krupakara Reddy, Arshya Khurana, Chitra G M
Dissecting Facial Features: A Deep Learning Synthesis for Age and Gender Prediction
Rajendra Babu, Thalam Jaya Dharani, Battula Sai Durga Rao, Shaik Bibi Ayesha
Graph-Temporal Hybrid Neural Networks for Enhanced Malware Detection in Banking Systems
Raja Sravan Kumar Kovvali, Kumari Gorle, Kammili Jagan Mohan, Sneha Ayalasomayajula, Raja Rao Pbv
An Effective Sentiment Analysis System using Hybrid Approach of CNN and Machine Learning
Geentanjali Sharma, Kavya Veer, Tejas Weldode, Vedant Pawar, Imadoddin Shaikh
Phishing URL Detector: An Ensemble Approach using Machine Learning Models
Ramkumar D, Digvijay T Patil, Anish V. Thorat, Radha Krishna Garg, Om B Shelke
Collaborative Deep Learning for Diabetic Retinopathy Diagnosis: A Federated Learning Approach
Aishwarya Mane, Swati Shekapure
IntelliCom - Smart and Inclusive Intercom System
Arushi Tiwari, Anish Mahadevan, KeyurApte, Rohin Daruwala
Leveraging Ollama for a Parameter-Optimized RAG Chatbot: Adaptive Document Analysis and General Use Case
Gowrav Babu H S, Muddaveere Gowda, Sagar H S, Veeresh Kumar L G, Jayanna H S
Credit Risk Assessment using Machine LearningTechniques
Kavita Kolpe, Madhuri Suryavanshi, Rushikesh Magadum, Aditya Marke, Aditya Mashere, Siddhesh More
Survey on Indian Sign Language Video Generation
Satish Kamble, Srushti Mahajan, Komal Pathare, Aniket Sonkamble, Shubham Shinde
Lung Disease Detection with Explainable AI and Deep Learning: A Comprehensive Study
Kavita Kolpe, MehzabinPathan, Pranit Sarode, Sejal Rokade, Pranav Sakpal
Gesture and Voice Hybrid Interface
Satish Kamble, Sagar Sadake, Mohit Chinni, Sangram Wabale, Kanchi Sonkule
A Comprehensive Attendance System
T. Manikumar, T. Marimuthu, Barisetty Jagadesh, Dondeti Chethan, B. Durga Sai Ganesh
To Develop a Federated Learning-based Model for Detection and Classification of Diabetic Retinopathy
Mansi P, Aishwarya M, Pavan V, Krutika K, Manjusha P
Exploring the Integration of Emerging Technologies in Digital Marketing Strategies
Ribhav Singh, Mayur, Priyanka Dadhich
A Novel Approach to Optimizing Social Media Marketing Strategies using NLP and DL
Rajendra Babu, Basavaboyina Sai Keerthi, Madugula Amani, K. Rahul Praneeth
Optimizing Pneumonia and Tuberculosis Detection using GAN and CNN
Pappula Madhavi, Amarana Varshini, Jillela Prem Praneeth Kumar, Muthi Janitha Sri Raj
Emerging Trends in Face Recognition Technologies and Attendance Systems: A Review
Kunal Bipin Chauhan, Yogita Kapse, Neelima Kolhare
Pilot Study on Runtime Mesh Manipulation
Anurag Basavaraj Bhusare, Keshava S H, Anjan R Prasad, Leharaditya Kumar, Adithya Balasubramanyam
Exploring the Role of Abuse, Substance use and General Health in Pregnancy Risk Prediction using Machine Learning Algorithms
Vijay Sharma, Ravindra Kumar
Comparative Analysis of Computer Vision Models for Image Classification on Wrist X-rays in the MURA Dataset
Adithya T G, Adithya Mahesh, Aakash V, Kousthubha G K, Shylaja S S