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Congress on smart computing technolo...

Congress on Smart Computing Technologies ((2024 :)

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Congress on smart computing technologies = proceedings of CSCT 2024.. Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Congress on smart computing technologies/ edited by Mukesh Saraswat, Abhishek Rajan, Antorweep Chakravorty.
其他題名:	proceedings of CSCT 2024.
其他題名:	CSCT 2024
其他作者:	Saraswat, Mukesh.
團體作者:	Congress on Smart Computing Technologies
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xxxvi, 775 p. :ill., digital ;24 cm.
內容註:	Class-Balanced Ensembled Framework for Android Malware Detection -- Predicting The Determinants of Augmented Reality Technologies in E-Commerce Applications using Multianalytical Structural Equation Model (SEM) and Artificial Neural Network (ANN) Modelling -- Neurocognitive Dynamics of Mind Activities: A Comprehensive EEG Analysis -- Utilizing Discrete Cosine Transform for Video Compression and Encryption: An Algorithmic Approach -- Gray-Scale Edge Detection Techniques: A Survey and Comparative Analysis -- Enhancing Financial Sentiment Analysis with Pre-trained BERT-Based Models -- Crafting Specialized Named Entity Recognition Models for Keyphrase Extraction -- Optimizing Security and Scalability in Machine Learning for Cloud-Based Healthcare Systems- The Evolution of Football Betting: A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation -- Etc.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-6254-8
ISBN:	9789819662548

Congress on smart computing technologies = proceedings of CSCT 2024.. Volume 1 /
Congress on smart computing technologiesproceedings of CSCT 2024.Volume 1 /[electronic resource] :CSCT 2024edited by Mukesh Saraswat, Abhishek Rajan, Antorweep Chakravorty. - Singapore :Springer Nature Singapore :2025. - xxxvi, 775 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v. 1212190-3026 ;. - Smart innovation, systems and technologies ;v. 121..

Class-Balanced Ensembled Framework for Android Malware Detection -- Predicting The Determinants of Augmented Reality Technologies in E-Commerce Applications using Multianalytical Structural Equation Model (SEM) and Artificial Neural Network (ANN) Modelling -- Neurocognitive Dynamics of Mind Activities: A Comprehensive EEG Analysis -- Utilizing Discrete Cosine Transform for Video Compression and Encryption: An Algorithmic Approach -- Gray-Scale Edge Detection Techniques: A Survey and Comparative Analysis -- Enhancing Financial Sentiment Analysis with Pre-trained BERT-Based Models -- Crafting Specialized Named Entity Recognition Models for Keyphrase Extraction -- Optimizing Security and Scalability in Machine Learning for Cloud-Based Healthcare Systems- The Evolution of Football Betting: A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation -- Etc.

This book presents high-quality research papers presented at Congress on Smart Computing Technologies (CSCT 2024) organized by Soft Computing Research Society (SCRS), held at National Institute of Technology Sikkim from 14 to 15 December 2024. The book extensively covers recent research in algorithms for smart computing, AI and machine learning in smart computing, edge computing algorithms, adversarial networks and autoencoders, data visualization, data mining, data analytics, machine learning, game theory, high-performance computing, mobile and ubiquitous platforms for smart environments, cloud/edge/fog computing technologies for smart systems, Internet of Things (IoT) and industrial IoT technologies for smart systems, smart device and hardware, security, privacy, and economics in smart environments, big data, healthcare informatics, smart precision agriculture, smart transportation, social network analysis, and human-computer interaction. The book is presented in two volumes.

ISBN: 9789819662548

Standard No.: 10.1007/978-981-96-6254-8doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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