A Review On: Python-Based Vehicle Number Plate Recognition System

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A Review On: Python-Based Vehicle Number Plate Recognition System

A Review On: Python-Based Vehicle Number Plate Recognition System Authors : Bhagyashri S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.6.11 Abstract –Number Plate Recognition (NPR) is a crucial application in intelligent transportation systems, law enforcement, and automated parking management. The advancements in deep learning and computer vision have significantly improved the accuracy of NPR systems. […]

A Review of Machine Learning and Deep Learning Techniques for Identifying Cardiovascular Disease in ECG Images

A Review of Machine Learning and Deep Learning Techniques for Identifying Cardiovascular Disease in ECG Images Authors :Ms.Shraddha R. Mundada , Mr.Prashant Shimpi DOI : 10.46335/IJIES.2025.10.6.2 Abstract –Globally Cardiovascular diseases (CVDs) rank among the top causes of death. Electrocardiogram (ECG) readings provide vital information necessary for diagnosing heart ailments. Techniques in Machine Learning (ML) and […]

An In-depth Review of Machine Learning & Deep Learning Models for Enhancing Security and Scalability in Edge Computing

An In-depth Review of Machine Learning & Deep Learning Models for Enhancing Security and Scalability in Edge Computing Authors : Mr. Pankaj S. Wankhede , Ganesh Khekare , Dr. Amitabh Wahi DOI : 10.46335/IJIES.2025.10.8.20 Abstract: The current reality is very fast-paced edge computing that shortly will be demanding robust security and scaling solutions for its […]

Deep Reinforcement Learning for Face Anti-Spoofing

Deep Reinforcement Learning for Face Anti-Spoofing Authors : Saidur Rahman, Sahil Kumar, Dr M.Sujitha, P.Sudarsan DOI : 10.46335/IJIES.2025.10.8.18 Abstract – Spoofing detection has become a crucial and essential application for verifying security breaches. The Face Anti-Spoofing issue has made significant progress in recent years. This research addresses the problem of detecting spoofing images from unknown […]

Evaluating the Effectiveness of Deep Learning Algorithms in Predicting Lungs Diseases: A Comparative Analysis

Evaluating the Effectiveness of Deep Learning Algorithms in Predicting Lungs Diseases: A Comparative Analysis Authors: Ashish K. Patil, Ankita K. Sonawane , Vaishnavi G. Chaudhari, Yatish M. Borase, Aniket S. Thale DOI : 10.46335/IJIES.2025.10.8.10 Abstract – One of the most fascinating areas of research in recent years has been learning about lung diseases and how […]

Skin Disease Detection Using Markov Decision Process

Skin Disease Detection Using Markov Decision Process Authors :Nitish Kumar , Nishant Kumar, Rahul Kumar, Dr. R. Sudhakar DOI : 10.46335/IJIES.2025.10.8.9 Abstract – Diagnosing skin diseases can be challenging with traditional methods, as they rely on manual examination and a doctor’s expertise, which may lead to errors or delays. This project introduces an advanced approach […]

IoT and AI in Agriculture: Enhancing Productivity and Optimizing Resources – A Review

IoT and AI in Agriculture: Enhancing Productivity and Optimizing Resources – A Review Author : Suvarna Girase , Dr. Nilesh Choudhary DOI : 10.46335/IJIES.2025.10.8.6 Abstract –IoT (Internet of Things) technologies are essential to supplying the world’s expanding food demand, and the change in farming methods has brought along both benefits and challenges. IoT sensors monitor […]

A Literature Review on Quantifying Roadside Evolution Using Computer Vision and Deep Learning

A Literature Review on Quantifying Roadside Evolution Using Computer Vision and Deep Learning Authors : Dr.M.V.Bramhe , Ajinkya Joshi , Vedant Madankar , Siddharth Rangari DOI : 10.46335/IJIES.2025.10.5.4 Abstract-This research uses computer vision and deep learning to automate the monitoring and analysis of land use changes in urban or rural areas. It replaces traditional manual […]

Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms

Literature Survey on Intelligent Rainfall Prediction Systems Using Advanced Machine Learning Algorithms Authors : Dr.M.V.Bramhe, Rushab Katekhaye, Manthan Raut, Sharwari Sonulkar,Yash Dhande, Mrs. Sangita Rajankar DOI : 10.46335/IJIES.2025.10.5.3 Abstract – Rainfall prediction is crucial to efficient water resource management, agriculture, and catastrophe avoidance. Statistical models have gained popularity, yet machine learning approaches are progressively boosting […]

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