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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, […]

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 […]

Assets Estimation of Domestic and Scalable Edifice using Machine Learning Approach

Authors : Mohini Barapatre , Akshata Bettawar, Ishita Dharmik, Barnabas Johnson, Ansar Sheikh DOI : 10.46335/IJIES.2024.9.7.10 Article Link Abstract— Property valuation is a crucial aspect of real estate investment and decision-making processes, encompassing both residential and commercial sectors. Traditional methods of property valuation often rely on subjective assessments, leading to potential inaccuracies and inconsistencies. This […]

Enhancing Security with Machine Learning: Asymmetric Key Encryption and Federated Learning Approach On Review

Authors : Bhushan Chaudhari , Dr. Nilesh Yuvaraj Choudhary DOI : 10.46335/IJIES.2025.10.9.9 Abstract – The exponential growth of data in the digital era presents challenges for ensuring its security. Traditional methods of encryption, though effective, face limitations when combined with distributed computing and privacy-preserving models. This research explores the integration of machine learning, asymmetric key […]

Face Recognition Based Real Time Attendance System Using Machine Learning

Authors : Prof. Ansar Sheikh , Nivedita Sanyal ,Payal Ninawe,Sanjana Waghe,Shruti Waghmare DOI : 10.46335/IJIES.2024.9.8.19 Article Link Abstract— In contemporary educational and workplaces are changing quickly these days, so it’s important to have an easier way to track who shows up. This study explores a new system that uses special face-  scanning technology to automatically […]