Enhancing Image Quality Assessment combining CNN: A Review of Methods and Applications DOI : 10.46335/IJIES.2024.9.2.2 Authors : Manoj Lilachand Patel , Vikas Tiwari Abstract – This paper explores Convolutional Neural Networks (CNNs) in image quality assessment (IQA), emphasizing their potential to enhance image processing across industries. Due to the limitations of conventional metrics such as […]
READ MOREDeep Learning based Depression Estimation using Facial Expressions DOI: 10.46335/IJIES.2024.9.2.1 Authors : Chhaya Nayak , Dr. Sachin Patel Abstract –The serious mental health condition of depression may greatly impact a person’s daily life. Chronic sorrow, lack of interest in once-enjoyed activities, weariness, changes in food or sleeping patterns, difficulties focusing, feelings of hopelessness, and other […]
READ MORELeveraging IoT for Detecting Power and Water Theft in Urban Environments: A Comprehensive Review DOI : 10.46335/IJIES.2024.9.3.12 Authors : Rohit P. Bhoge, Janhavi Holey, Vidhan Rajput , Shardul Rathod , Yash Raut, Praful Nandankar Abstract— Utilities such as power and water are the basic needs of today’s modern world, with increase in theft of such utilities serious […]
READ MOREIntelligent Stacking Supported Automation System with Robotic Basket for Hygienic Shopping DOI : 10.46335/IJIES.2024.9.3.11 Authors : Dr. Geeta Tripathi Abstract –It’s not long time we have witnessed Covid-19 pandemic. It has reemphasized on hygienic system wherever we are expecting lot many human interaction and intervention involved. Shopping is one such area. By introducing automation it can […]
READ MOREObstacle Avoidance & Surveillance Robot DOI : 10.46335/IJIES.2024.9.3.10 Authors : Harshali Ragite, Shubham Biradar, Shubham Motghare, Janhavi Hate, Rut Bijanpalliwar Abstract – An obstacle avoidance and surveillance robot is an autonomous machine that is designed to navigate through an area of disaster ( environment ) while avoiding obstacles in its path. The robot typically uses sensors such as GPS for […]
READ MOREIndustrial Robotic Arm Using Raspberry PI DOI : 10.46335/IJIES.2024.9.3.9 Authors : Rupali Dasarwar , Nayan Thakre, Kundan Tikale, Adarsh Dhoke, Tejas Randive Abstract – This project focuses on building a robotic arm using a Raspberry Pi to pick up objects from one set position and move them to another. The Raspberry Pi, a compact computer, […]
READ MOREIOT Based Smart Bridge and Monitoring System DOI : 10.46335/IJIES.2024.9.3.8 Authors : Rupali Dasarwar, Tanmay Talwekar, Linta Mendhe, Harsh Damke, Khushi Markande Abstract – Bridges are essential components of modern infrastructure, facilitating the movement of people and goods while connecting communities. As society grapples with the challenges of aging infrastructure and the increasing demands on […]
READ MOREDrowsiness Detection Using Python and Deep Learning DOI :10.46335/IJIES.2024.9.3.7 Authors : Rahul bhandekar, Manish Tembhare, Himanshu Pardhi, Pranali Dekate, Shivani Amrute Abstract – This abstract introduces an advanced drowsiness detection system leveraging cutting-edge artificial intelligence (AI) technologies. Drowsy driving significantly threatens road safety, leading to accidents, injuries, and fatalities worldwide. To address this critical issue, our […]
READ MOREDecentralized Brain Tumor Detection: Leveraging Federated Learning & CNN for Enhanced Accuracy and Privacy-A Review DOI : 10.46335/IJIES.2024.9.3.6 Authors : Mr.Jagdish F. Pimple, Dr.Mohit Agarwal, Mr. Sameer Kedar, Ms.Isha Bhomle, Ms.Nishita Thakare, Ms.Pratiksha Bowade Abstract: This study introduces innovative brain tumor diagnostic techniques utilizing federated learning and machine learning to develop a decentralized model that […]
READ MORESmart Stick For The Blind Person DOI: 10.46335/IJIES.2024.9.3.5 Authors : Rupali Dasarwar, Sakshi Dhoble, Akash Chachere, Junaid Pathan, Raj Bhosle Abstract: There are millions of blind people in this world who always need some help. These visually impaired people find it challenging to travel outside their homes independently. The Smart Blind Stick that we will […]
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