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245 1 0 _aComputing and Machine Learning
_h[electronic resource] :
_bProceedings of CML 2024, Volume 1 /
_cedited by Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVI, 515 p. 177 illus., 136 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v1108
505 0 _aSecure 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.
520 _aThis 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.
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 0 _aImage processing
_xDigital techniques.
650 0 _aComputer vision.
650 0 _aNatural language processing (Computer science).
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aNatural Language Processing (NLP).
700 1 _aBansal, Jagdish Chand.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBorah, Samarjeet.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHussain, Shahid.
_eeditor.
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700 1 _aSalhi, Said.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
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856 4 0 _zLibro electrónico
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