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 […]
READ MOREAuthors : 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 […]
READ MOREAuthors : 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 […]
READ MOREAuthors : 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, […]
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 : 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 […]
READ MOREAuthors : 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 […]
READ MOREAuthors : 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 […]
READ MOREReview of Sign Language Recognition Methods to Support the Disabled Authors : Prof. N R. Chopde , Miss. Janvi Datir , Miss. Ishwari Tote , Miss. Priyanka Kakad , Mr. Ajay Warthi DOI : 10.46335/IJIES.2025.10.1.1 Abstract – People with disabilities have difficulty in communicating, social commerce, prepossessions and repetitious behaviors. The situation gets parlous when […]
READ MOREPhishing Website Detection Using Machine Learning Authors :Pratiksha S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.9.8 Abstract – The growing prevalence of phishing assaults, especially in online banking and e-commerce, calls for the creation of reliable detection systems. A thorough analysis of the use of machine learning methods for phishing website identification is presented in […]
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