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Intrusion Detection in Network Systems using AI

Intrusion Detection in Network Systems using AI DOI : 10.46335/IJIES.2025.10.10.1 Authors: Pradip Athawale, Dr. S.V Sonekar, Dr. Supriya S. Sawwashere, Dr. Ashutosh O. Lanjewar, Prof. Mirza M. Baig, Dr. S.K. Mandavgade Abstract: There essential to protecting network infrastructures by identifying and addressing potential cyber threats. However, with the continuous evolution and increasing complexity of cyber-attacks, traditional IDS […]

Authors : Jaya Shrivastav , Dr. Ranu Pandey DOI : 10.46335/IJIES.2024.9.6.21 Article Link Abstract – Lung cancer continues to be one of the most lethal malignancies worldwide, primarily due to its late-stage detection and the complexity of accurate diagnosis using traditional methods. Early diagnosis significantly enhances treatment outcomes, yet current clinical practices, which often rely […]

College Enquiry Chatbot

Authors : Shriya Kawle, Chrisbin Thomas, Joe Mathew, Jayshri Harde DOI : 10.46335/IJIES.2024.9.7.12 Article Link Abstract – The primary focus on the use of chatbots in the education industry, specifically refers to it as an inquiry chatbot. It covers the advantages of implementing a chatbot system in colleges, such as providing 24/7 access to information and […]

Voice based interaction System with artificial character and AIML

Authors : Meghavi M Prajapati, Sumit Chaudhary Abstract – We humans have five sense and the sixth is the one we have internally. Being a human we can talk and put over opinions to others. You can read this paper and understand the information as I have written it over the time. Talking and chatting […]

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. […]