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Computing and machine learningproceedings of CML 2024.Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computing and machine learningedited by Jagdish Chand Bansal ... [et al.].
其他題名:	proceedings of CML 2024.
其他題名:	CML 2024
其他作者:	Bansal, Jagdish Chand.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xvi, 515 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational intelligenceCongresses.
電子資源:	https://doi.org/10.1007/978-981-97-6588-1
ISBN:	9789819765881$q(electronic bk.)

Computing and machine learningproceedings of CML 2024.Volume 1 /
Computing and machine learningproceedings of CML 2024.Volume 1 /[electronic resource] :CML 2024edited by Jagdish Chand Bansal ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xvi, 515 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 11082367-3389 ;. - Lecture notes in networks and systems ;v.1..

Secure Private Data Storage and File Sharing Using Homomorphic and Hybrid Hash-Based Cryptographic Technique in Cloud -- Revolutionizing Healthcare: The Impact of Artificial Intelligence in Connected Medicine - Unleashing the Power of Real-time Diagnostics, Personalized Treatment and Ethical AI Adoption -- ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection for Feature Reduction -- Enhancing Path Planning with Obstacles via a Combined Dijkstra-LbCS Methodology -- Revitalising Volunteerism: The Transformative Influence of Artificial Intelligence in Volunteer Management -- Optimizing The U-Net Model For Segmenting The Lung Opacity Regions InChest Radiographs -- Intelligent Surveillance Camera System Based on Object Tracking -- Data-Efficient Training for Effective Paraphrase Retrieval Techniques Using Language Models to Identify Research Gaps -- Enhancing IoT Anomaly Detection with DBSCAN - A Data-Driven Approach -- Enhancing Efficiency and Functionality of Voice-Controlled Cars through NLP Techniques and Additional Features -- Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics -- GUARDING THE GATE: Innovative Solutions for Third-Party App Vulnerabilities -- Prediction of Compressive Strength of Geopolymer Concrete via Machine Learning Techniques -- Personalized Stress Mitigation through EEG Based Stress Classification and Music Recommendation.

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29-30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human-robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.

ISBN: 9789819765881$q(electronic bk.)

Standard No.: 10.1007/978-981-97-6588-1doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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520 $a This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29-30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human-robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.
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