ARCHIVE

Online Event Management System: A Critical Review of Research Findings and Methodologies

Online Event Management System: A  Critical Review of Research Findings and Methodologies Authors : Dr. M.V. Bramhe , Mr. Aaswad Waghmare, Bhakti Awate, Ketaki Rao, Atharva Kadu, Tanuj Dangre DOI : 10.46335/IJIES.2024.9.5.3 Abstract – The advancement of technology in the digital age has transformed the landscape of event planning, organisation, and execution. This review delves into […]

Design of Computer Vision-Based Attendance in School Setting

Design of Computer Vision-Based Attendance in  School Setting Authors : Prof.Mrunalini Buradkar DOI : 10.46335/IJIES.2024.9.5.2 Abstract : Technology growth is speedy, and more and  more things can be solved easily with the existence of sophisticated technology. One such technologies is helping to solve the issue of attendance by  students at schools. The goal is to provide a […]

Misinformation Mitigation

Misinformation Mitigation Authors : Ahilya Bhute , Aditya Kharde. Dewashish Andankar, Kunal Nikhade,  Prof. Yogita Nikhare DOI :10.46335/IJIES.2024.9.5.1 Abstract- Strategies and Tools for Addressing Online Disinformation Abstract: The proliferation of misinformation on the internet poses a significant  challenge to society, affecting various domains including public health, politics, and social cohesion. This project aims to develop effective […]

A Comprehensive Review of IoT Security and Privacy Challenges in Cloud-Based Systems

Authors: Ranjan Kumar Gupta, Dr. Ranu Pandey DOI : 10.46335/IJIES.2024.9.6.22 Article Link Abstract – Cloud computing in conjunction with the Internet of Things (IoT) has transformed the industries through the ability to provide high-levels of scalability, efficiency, and automation previously unattainable. Nevertheless, since all IoT devices gather and transfer sensitive information over networks, one of […]

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 […]

Detection of DDoS Attacks in IoT Networks Using KNN, SVM, and Random Forest Classifiers

Authors : Ranjan Kumar Gupta , Dr. Ranu Pandey DOI : 10.46335/IJIES.2025.10.4.17 Article Link Abstract – The rising cases of Distributed Denial of Service (DDoS) attacks have posed major concerns to the cybersecurity especially in the context of Internet of Things (IoT). The conventional way of detecting these attacks is failing to respond to the […]

Attention-Enhanced Residual U-Net with Hybrid Loss for Robust Lung Cancer Segmentation

Authors : Jaya Shrivastav, Dr. Ranu Pandey DOI : 10.46335/IJIES.2025.10.4.16 Article Link Abstract – Lung cancer continues to be one of the deadliest cancers globally, with early detection playing a critical role in improving survival rates. In this work, we present an advanced deep learning framework for lung cancer segmentation using an Attention-Enhanced U-Net architecture […]

Simulation And Thermal Analysis of A Fire Tube Boiler For A Food Industry

Authors : Atharva Dhankar , Pranay Bhojne, Vaishnavi Gholse, Harsh Rangari, Harshanand Uikey , Prof. P.R.Bhagat DOI : 10.46335/IJIES.2024.9.6.7 Article Link Abstract— A firetubed boiler, also known as fire pipes, is a simple and efficient heating system that uses hot oil to pass through pipes surrounded by water. It is a fundamental part of thermal engineering, […]

Perfecting Ideal Match: Design and Development of a Matrimony Website

Authors : Prof. Priti Golar , Durgesh Pokale, Atif Ahmed, Subodh Khobragade DOI : 10.46335/IJIES.2024.9.6.6 Article Link  Abstract– Matrimony websites have become increasingly popular as digital platforms for individuals seeking life partners, offering an alternative to traditional matchmaking methods. This research paper presents an in-depth analysis of the design and usability aspects of matrimony websites, […]

Face Recognition Based Attendance System

Authors :  Adwait Kotewar, Ashwin Falke, Devendra Thawari DOI : 10.46335/IJIES.2024.9.6.5 Article Link Abstract—The old, ineffective techniques of measuring atten- dance are being replaced by newer, more advanced technologies. Face recognition based attendance system have become a cutting- edge and practical resolution to this problem. In order to expedite the process of taking attendance in business […]