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AI-Powered Intrusion Detection and Prevention System

AI-Powered Intrusion Detection and Prevention System Prof. Madhuri Bhaisare, Komal Khobragade, Mahima Khadipure, Bhumika Shende, Taufiq Ansari DOI : 10.46335/IJIES.2026.11.3.4 Abstract – Currently, there is an unprecedented growth of internet technologies and digital communication systems, which come with high cybersecurity risks, such as unauthorized access, malware infections, denial-of-service attacks, and data breaches. Classical security measures […]

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Automated Lung Tissue Segmentation in CT Images using Multi-Wavelet Filter Banks and Random Forest Algorithm

Automated Lung Tissue Segmentation in CT Images using Multi-Wavelet Filter Banks and Random Forest Algorithm DOI : 10.46335/IJIES.2024.9.2.4 Authors : Narendra Lalchand Lokhande, Tushar Hrishikesh Jaware Abstract – This research introduces an innovative methodology for automated tissue segmentation in lung CT images, aimed at enhancing precision in lung cancer detection. The proposed approach integrates a […]

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Machine Learning-Driven Identification of Cotton Leaf Diseases for Precision Agriculture

Machine Learning-Driven Identification of Cotton Leaf Diseases for Precision Agriculture Authors : Tushar Mohite Patil , Sanjay Pandey2, Ravindra Duche DOI :10.46335/IJIES.2025.10.7.12 Abstract – In this study, we propose a machine learning-based method for automatic detection of cotton leaf diseases based on Random Forest classifier. Other features extracted are color based (RGB) and texture based […]

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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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