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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 10, Issue 1 (2024)
A Proposed Method to Translate Code Blended Web based Text in English Language
Sudeshna Sani, Dipra Mitra, Kumar Gaurav, Kanika Thakur, Srihari Babu Gole
Enhancing Oral Health Assessment through Convolutional Neural Networks based Detection
Zoya Patel, Kajal Lawate, Mitray Pandit, Sandesh Pabitwar, N. F. Shaikh
Plant Disease Detection and Classification using Convolutional Neural Networks (CNN)
Mahalakshmi Sreenivasan, P.Selvaraj
Early Diabetes Detection and its Effect on Heart using Random Forest
Premanand Ghadekar, Yash Munde, Nitin Choudhary, Muaz Sayyed, Ayush Vidhale
A* Algorithm and Unity for Augmented Reality-based Indoor Navigation
Aditi Gandhi, Prathamesh Punde, Prathamesh Khaire, Anisha Bhattad, Nuzhat F. Shaikh
Data-Driven Ganesha Festival Management: NLP Chatbot, Ecommerce, Request Modules and Data Analytics Integration
S. Bhamare, A. Narkhede, S. Shete, R. Deshmukh
Revolutionizing Healthcare through the Internet of Things: Current State and Future Implications
Barwade Rohit Shantinath, Vikrant Sabnis, Jay Kumar Jain
Integrated Deep Learning and Segmentation Approach for Brain Tumor Detection
S.T. Patil, Aditya Patil, Arnav Mukkawar, Dev Bohra, Vedant Bhosle
GCET Virtual Help Desk ‘Chat Bot’ using Python and Telegram API
Akash yadav, Gavendra Singh
Smart Waste Management
Dnyaneshwar Kanade, Aniket More, Nilesh Binnar, Paridhi Narnaware, Atharv Narote
CardioVascular Disease (CVD) Recognition using Convolutional Neural Networks
Anurag Kavatlawar, Ananya Bohare, Anup Dakare, Ayush Dubey, Madhuri Sahu
Harmonizing Vision and Voice: A Review of Contemporary Research in Image Caption Generation and Text-to-Speech Synthesis
Yash Anand, Rudra Rawat, Aditya Sahu, Aayush Tandon, Vaibhav E. Narawade
The Techniques of Human-Machine Communication through Expressive Gestures
Vedika Anavekar, Viraj Desai Patil, Manthan Savant, Janhvi Pandey, Vaibhav Narawade
Revolutionizing Cerebral Stroke Prediction: Mastery Unveiled Through Stratified K-Fold and K-Fold Cross Validation Techniques for Imbalanced Datasets
Zarinabegam Mundargi, Sanskruti Khedkar, Sanket Kumbhar, Khushi Mohod, Yashashri Meshram
Driver’s Safety Measures: A Blind Spot and Drowsiness Detection System using IoT Components and Python Library
Zarinabegam Mundargi, Bhushan Ingale, Makarand Jadhav, Omkar Kamble, Parth Kayade
Solar Power Generation Technique and its Challenges - A Comprehensive Review
Himanshu Kitey, Pankaj Chandankhde, Kapil Jajulwar, Mohammad Shahnawaz Shaikh, Pragati M. Fatinge
Review Paper on Enhancing Communication: Machine Learning for Live Sign-to-Text Translation
Aditya Rangari, Devendra Bhide, Vaibhav More, Kunal Wahurwagh, Dhiraj Shirbhate
Machine Learning Approaches for Company Share Rate Prediction
Prasanna H B, Laxmi Pujari, Akshata S Naik
Empowering Solar-based Energy Trading with Blockchain
Rashmi Ashtagi, Diya Shaikh, Sejal Jadhav, Muaz Shaikh, Shirin Shaikh
AI-Driven Model for Accurate Cancer Diagnosis
Prateek kashyap, Monika Goyal, Rachana Srivastava, Mohammad Danish
Electronic Products Marketing Store Application Design
Boggula Rajeswari, Marri Tanuja, Sodagudi Suhasini
Image Caption Generation using Deep Learning Techniques
Siddharaj D. Pujari, Atul S. Patane
AI-based Career Guidance and Counseling in Education Institution
Chandrayani N.Rokde, Vaishali D. Tendolkar, Prajakta Kharawandikar, Yash Borkar
A Short Review on Prediction and Recommendation Techniques
Nivedita Adhik Patil, S. U. Mane
Event Driven Stock Prediction
Prateek N Kamath, Moksha Pradhan, Jayanth K, Jyothi R