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Plant Disease Detection Using Image Segmentation Methods

Authors :Manesh Prakashrao Patil , Prof. Dr. Indrabhan S. Borse , Prof. Dr. Balveer Singh DOI : 10.46335/IJIES.2025.10.6.16 Abstract – Plant diseases pose a major threat to global farming and can greatly reduce crop production. To reduce their impact, it’s important to detect and manage these diseases effectively. One key step in detecting plant diseases […]

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Review of Eye Disease Detection and Classification Using Deep Learning

Authors : Shaikh Nazim Gufran1, Dr. Dipak R Nemade DOI : 10.46335/IJIES.2025.10.6.15 Abstract –Eye diseases are a leading cause of visual impairments and blindness around the world. To prevent vision loss due to these diseases and improve patients’ quality of life, early detection methods are essential for timely treatment. At the moment, skilled ophthalmologists perform […]

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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. This review paper explores various techniques used for number […]

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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 Deep Learning (DL) have transformed the automatic identification and categorization of CVDs from ECG images. This […]

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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 necessarily distributed and resource-constrained nature. Addressing this need, this paper critically assesses machine learning and deep learning models […]

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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 sources using deep learning algorithms. Specifically, […]

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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 they are characterized. Given the numerous applications of medical imaging in healthcare facilities, illnesses, […]

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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 by integrating Convolutional Neural Networks (CNNs) and […]

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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 essential parameters like soil pH, moisture, and water levels. For instance, water volume […]

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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 methods with image segmentation models that classify satellite or aerial imagery into key […]

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