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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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Scalability Analysis of Molecular Dynamics Simulation Using NAMD on Ampere-Based Dense GPU Supercomversion 3.0 Alpha performed better than version 2.13 for intra-node GPU scalability. Version 3.0 Alpha is ~ 1.5x to ~ 2x times more efficient on a node with 8 GPUs for the input datasets ApoA1 and STMV respectively. In comparison with CPU performance, the NAMD version 3.0 Alpha shows a speed-up of 2
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Digital ,: Framework Model Development for Digital Arabic Language Learning,nguage application. The strategic process on obtaining the inquiry arrangement was made through the critical literature review from the recently peer-reviewed articles related to the topic. The finding of this paper revealed that the digital . needs to arrange the critically developed framework mode
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Proficient Exam Monitoring System Using Deep Learning Techniques,iable and accurate monitoring based on this research. Face detection, face recognition, face spoofing detection, head-pose estimation, eye tracking, mouth ratio analysis, facial landmark identification, object detection, audio recording, plagiarism checking, and speech-to-text conversion are the mai
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Smart Homes of Tomorrow: IoT-Enabled Lifestyle Enhancements,mprehensive home automation. At the heart of this IoT-driven transformation is a home automation project centered on the efficient control of essentials like fans and lights. This project underscores IoT’s growing role in reshaping domestic environments, showcasing its potential to redefine how we i
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Application of Deep Learning in Detection and Classification,tal photographs. This project aims to develop a facial recognition system that is capable of extracting real-time facial features, extraction accuracy, and matching. The system will conduct face identification on fresh, untested photographs after using deep learning techniques to train on a vast dat
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Correlation Analysis Between INR-USD Exchange Rates and Public Sentiments Using Twitter, frequency of tweets, their like count, and the time period. A model can be designed based on the relation based on the correlation hypothesis and can be used to predict the sentimental value on the postulated currency.
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