Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito

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Einar W. H?st,Bjarte M. ?stvoldn a fixed value of 1(like . function), the algorithm addresses the flawed settling time calculations for both underdamped and overdamped systems. To check and compare the performance of the proposed algorithm, one overdamped system and two underdamped systems: one having some steady state error and

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Lecture Notes in Computer Sciencethe-art methods, including CNN and VGG. Recognizing drivers’ proclivity to ignore speed limit signs, our initiative aims to improve road safety by informing drivers of speed limits by delivering audio alerts in their preferred Indian language.

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A Primer on Operational Semantics,ng DL-based multimodal early fusion features from Computed Tomography of Pulmonary Angiography (CTPA) images and six Electronic Medical Record (EMR) modalities are concatenated at the input level. The performance of the six DL models using the RadFusion dataset, a manually labeled and processed data

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2367-3370 emes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.978-981-97-2081-1978-981-97-2082-8Series ISSN 2367-3370 Series E-ISSN 2367-3389

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Implementation of Textual Concrete Syntax,ed a high accuracy of 93% for the Gradient Boosting Classifier by analyzing the performance using confusion matrix, representing Area Under the ROC Curve (AUC) and Receiver Operating Characteristic curve (ROC). This study will play a vital role in controlling the upcoming youngster in using their social media.

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Elaine Khoo,Craig Hight,Bronwen Cowiecognition. The study offers a comprehensive view of OCR techniques’ adaptability and effectiveness in diverse linguistic contexts. This research marks a significant contribution by extensively exploring OCR’s application to Indian scripts and their languages, filling a notable void in current understanding within this domain.

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Impact of the Use of Social Media Among University Students Using Machine Learning,ed a high accuracy of 93% for the Gradient Boosting Classifier by analyzing the performance using confusion matrix, representing Area Under the ROC Curve (AUC) and Receiver Operating Characteristic curve (ROC). This study will play a vital role in controlling the upcoming youngster in using their social media.

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Conference proceedings 2024cation technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.