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 […]
READ MOREAuthors : 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 […]
READ MOREAuthors : 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 […]
READ MOREAuthors : Ashlesha Dhawanjewar DOI : 10.46335/IJIES.2024.9.6.1 Article Link Abstract— Hand gesture recognition, particularly in the context of sign language recognition for deaf-mute individuals, has garnered significant attention due to its potential to enhance communication accessibility. This paper reviews recent advancements in hand gesture recognition, focusing on deep learning methodologies. Specifically, we explore the application of […]
READ MOREAuthors : 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 […]
READ MOREAuthors : Om Patle, Prasad Gomkale, Om Vispute , Prasad Gomkale , Shashank Juwar,Prof. V. V. Deshpande DOI : 10.46335/IJIES.2024.9.8.20 Article Link Abstract—Smart Trash Can (STCs) have emerged as a promis- ing solution to optimize waste management practices in hospital environments. This paper presents a comprehensive overview of STCs, focusing on their design, implementation, and potential […]
READ MOREBreast Cancer Detection Using Ensemble Deep Learning Authors : Pallavi Kapse, Rimzim Janwe , Dr. Yogesh Golhar DOI : 10.46335/IJIES.2024.9.9.9 Abstract – Breast Cancer is one of the highly increasing cancer diseases in women worldwide. Ensuring a precise diagnosis of this critical illness is pivotal for the patients’ survival. To attain outstanding results in breast […]
READ MOREPlant’s Diseases Detection and Pest Control Based On Deep Learning Authors : Bhagyashree Bais DOI : 10.46335/IJIES.2024.9.9.3 Abstract— Invasive organisms and Plant disorder have a big influence on output and quality. By employing digital image processing, scholars can precisely detect these problems. Researchers are looking into using deep learning to identify pests and agricultural diseases […]
READ MORESecure Access Control Using Face Recognition Authors : Anagha Borkar , Sakshi Deote , Saloni Nimje , Vaishnavi Dandekar, Vaishnavi Gomase ,Dr. S.S. Golait , Ms. Ashwini Lokande DOI : 10.46335/IJIES.2025.10.3.7 Abstract – Face recognition has emerged as a leading biometric technique for secure and efficient person authentication, offering a user-friendly alternative to traditional password-based systems. […]
READ MOREA Survey on AI-Based Object Recognition and Autonomous Control for Smart Locomotives for Enhancing Railway Automation Authors:Dr. Yogesh Kirange, Sudarshan Jadhav, Harshal Tawade, Kamini Rajput, Piyush Chaudhari, Pranav Shirsath DOI :10.46335/IJIES.2025.10.9.1 Abstract – The rapid advancement of artificial intelligence (AI) has significantly transformed autonomous locomotive systems, enhancing their efficiency and safety. This study presents an […]
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