Titlebook: ICT: Cyber Security and Applications; Proceedings of ICTCS Amit Joshi,Mufti Mahmud,S. Kartik Conference proceedings 2024 The Editor(s) (if

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Proficient Exam Monitoring System Using Deep Learning Techniques,academic integrity during online exams. This research paper includes a thorough investigation into the design of a deep learning-based automated online exam monitoring system. By monitoring and identifying instances of misconduct or cheating during online exams, the suggested method attempts to crea

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Human Activity Recognition Using Supervised Machine Learning Classifiers,ngineering, the creation of games, and the creation of more precise statistics for athletic training. Supervised machine learning methods can anticipate a person’s tasks using data from connected sensors. In this work, UCI Machine Learning Repository is used for input data. To provide supervised mod

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Sign-Kiosk: A Real-Time Virtual Assistant,er, which becomes a hindrance for normal people to understand. The main objective of this paper is to analyze and accurately predict the hand signs and respond in sign, using technology. It deals with the recognition and classification of 26 American sign alphabets and generating sentences from them

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,A Graph-Based Strategy for?Intrusion Detection in?Connected Vehicles,nnectivity and complexity of automotive systems have also introduced new security challenges, making the CAN bus vulnerable to intrusions and attacks. This paper proposes a method for detecting intrusions in the CAN bus using bidirected graphs. This study’s primary focus is building a mathematical m

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Correlation Analysis Between INR-USD Exchange Rates and Public Sentiments Using Twitter,t. ‘Twitter’ a social media app enables users to reverberate their opinions within the constraints of 280 characters, known as tweets. This study focuses on the examination of Twitter sentiments on the currency exchange rate between India and the USA using natural language processing techniques. The

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Improving Farm Yield Through Agent-Based Modelling,ractions between various agents, including plants, insects, and a virtual farmer, within a realistic agricultural environment. The model factors in plant growth, disease spread, insect behaviour, and farmer activities are replicating the complexities of real-world farming. Agents interact with envir