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Retinal Vessel Segmentation by Pixel Optimization using the BAT Algorithm calculations and A Deep Neural Network

Retinal Vessel Segmentation by Pixel Optimization using the BAT Algorithm calculations and A Deep Neural Network DOI: 10.46335/IJIES.2024.9.1.1 Authors : Prof. Shubhangi Chaware , Dr.Mohd. Zuber Abstract – Non-uniform illumination and low contrast of blood vessels are challenging tasks in retinal segmentation. Non-accurate blood vessel segmentation degrades the efficacy of automatic blood vessel segmentation. Recently, […]

Decentralized Brain Tumor Detection: Leveraging Federated Learning & CNN for Enhanced Accuracy and Privacy-A Review

Decentralized 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 […]

Breast Cancer Prediction with Machine Learning Support Vectro Machine Technique

 Breast Cancer Prediction with Machine Learning Support Vectro Machine Technique DOI : 10.46335/IJIES.2024.9.3.2 Authors : Uday Patil , Rajeshwari Dhandare, Sayali Bhole, Prajwal Patil, Ashish T. Bhole Abstract – Breast cancer has become one of the leading causes of cancer death among women due to lifestyle changes and other factors. Detecting breast cancer takes a […]

Artificial Intelligence Powered FAQ Assistant for Instant Answers

Artificial Intelligence Powered FAQ Assistant for Instant Answers DOI : 10.46335/IJIES.2024.9.3.1 Authors: Nikita Hemnani , Kajal Patil , Sunidhi Chavan, Nikita Patil, Ashish Bhole Abstract – The motivation behind AI-based chatbots stems from the desire to create automated systems which simulate human-like conversations, providing convenient and efficient solutions for tasks such as customer support, information […]

Industry 4.0 Revolution (4IR): Applications and Challenges: An Overview

Industry 4.0 Revolution (4IR): Applications and Challenges: An Overview Authors : Prof.Charlie Dadaji Fulzele DOI: 10.46335/IJIES.2024.9.5.4 Abstract : In this paper the technology used in the Industry 4.0 is discussed besides applications and challenges that are hindered in it by the use of the technology like Artificial Intelligence, Machine Learning.  

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 […]

Enhancing Cybersecurity through Machine Learning: A Review of Malicious Website Detection Methods

Authors : Nityay Kherde, Anushka Kale, Govind Kurup , Asmit Meshram ,Prof Leena Mandurakar DOI : 10.46335/IJIES.2024.9.7.17 Article Link Abstract-   This paper presents a review of machine learning-based approaches for identifying and classifying malicious websites. Various studies have tackled this challenge by extracting features from URLs and website content to train machine learning models. Methods include […]

Creating a Dynamic AI Opponent in a 2D Fighting Game using Stateful Learning and Unity ML-Agents

Authors : Dhaval Barai , Ashwini Hivse, Chetali Bhoyar, Pracheta Lokhande,  Dr.Amol W. Pardhi DOI : 10.46335/IJIES.2024.9.7.16 Article Link Abstract – This paper proposes a novel approach for developing a dynamic AI opponent in a 2D fighting game using Stateful Learning and Unity Machine Learning Agents (ML-Agents). The AI leverages its observations of the player’s […]

End-to-End Reusable Data Analytics Pipeline Using Machine Learning

Authors : Aishwarya Umare, Akanksha Deshmukh, Harsh Kalbande, Lalit Bhanarkar, Prof. Riddhi Doshi DOI : 10.46335/IJIES.2024.9.7.14  Article Link Abstract— This paper presents a comprehensive approach to designing an end-to-end reusable data analytics pipeline using machine learning (ML) concepts. The proposed pipeline combines different machine learning techniques, such as data preprocessing, feature engineering, model training, and evaluation, […]