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000 nam5i
001 2210080933675
003 DE-He213
005 20250321102110
007 cr nn 008mamaa
008 240130s2024 sz | s |||| 0|eng d
020 a97830315308219978-3-031-53082-1
024 a10.1007/978-3-031-53082-12doi
040 a221008
050 aTA1501-1820
050 aTA1634
072 aUYT2bicssc
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245 00 aRecent Trends in Image Processing and Pattern Recognitionh[electronic resource] :b6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part I /cedited by KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh K. Singh, Antoine Vacavant, Anas Abou el Kalam, Mohamed-Rafik Bouguelia, Ravindra Hegadi.
250 a1st ed. 2024.
264 aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.
300 aXX, 405 p. 154 illus., 119 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aCommunications in Computer and Information Science,x1865-0937 ;v2026
505 aArtificial Intelligence and Applied Machine Learning -- Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach -- Fake News Detection Using Transfer Learning -- Deep Learning Envisioned Accident Detection System -- Revolutionizing Drug Discovery: Unleashing AI's Potential in Pharmaceutical Innovation -- Empathy-Driven Chatbots for the Arabic Language: A Transformer Based Approach -- Image Classification Using Federated Learning -- Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation -- Fake News Investigation Using Ensemble Machine Learning Techniques -- Deep Learning Based Bug Detection in Solidity Smart Contracts -- Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction -- Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users -- Deep Reinforcement Learning Based Intelligent Resource Allocation Techniques with Applications to Cloud Computing -- A Review on Machine Learning Techniques in IoT-based Smart Grid Applications -- Transformation Of Corporate Social Responsibility Practices: Adapting Artificial Intelligence and Internet of Things -- Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data -- Applied Image Processing and Pattern Recognition -- Potato Leaf Disease Classification Using Federated Learning -- Sugarcane Bud Detection using YOLOv5 -- ELA-Conv: Forgery Detection in Digital Images Based on ELA and CNN -- Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study -- Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-provoking Crucial Research Area -- An Arabic Chatbot Leveraging Encoder-Decoder Architecture Enhanced with BERT -- FNMD: An Evaluation of Machine learning and Deep learning Techniques for Fake NewsDetection -- Enhancing Robotic Systems for Revolutionizing Healthcare using Markov Decision Processes -- Optimizing Drone Navigation using Shortest Path Algorithms -- Trees Detection from Aerial Images using the YOLOv5 Family -- A Study on Automatic Detection, Length and Mass Estimation of Fishes in Aqua Farming Environment -- Comparative Analysis of Various Transfer Learning Approaches In Deep CNNs for Image Classification -- Biometrics and Applications -- Iris Recognition System in the Context of Authentication -- Deep Learning for Biometric Attack Detection and Recognition -- A Novel Biometric Authentication based on Blockchain and Watermarking -- Hybrid Transfer Learning Approach for Emotion Analysis of Occluded Facial Expressions.
520 aThis book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota. The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications. Volume II: Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.
650 aImage processingxDigital techniques.
650 aComputer vision.
650 aArtificial intelligence.
650 aComputer systems.
650 aSocial sciencesxData processing.
650 aApplication software.
650 aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 aArtificial Intelligence.
650 aComputer System Implementation.
650 aComputer Application in Social and Behavioral Sciences.
650 aComputer and Information Systems Applications.
700 aSantosh, KC.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aMakkar, Aaisha.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aConway, Myra.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aSingh, Ashutosh K.eeditor.0(orcid)0000-0002-8053-50501https://orcid.org/0000-0002-8053-50504edt4http://id.loc.gov/vocabulary/relators/edt
700 aVacavant, Antoine.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aAbou el Kalam, Anas.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aBouguelia, Mohamed-Rafik.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aHegadi, Ravindra.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9783031530814
776 iPrinted edition:z9783031530838
830 aCommunications in Computer and Information Science,x1865-0937 ;v2026
856 uhttps://doi.org/10.1007/978-3-031-53082-1
912 aZDB-2-SCS
912 aZDB-2-SXCS
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Recent Trends in Image Processing and Pattern Recognition[electronic resource] :6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part I /edited by KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh K. Singh, Antoine Vacavant, Anas Abou el Kalam, Mohamed-Rafik Bouguelia, Ravindra Hegadi
Material type
전자책
Title
Recent Trends in Image Processing and Pattern Recognition[electronic resource] :6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part I /edited by KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh K. Singh, Antoine Vacavant, Anas Abou el Kalam, Mohamed-Rafik Bouguelia, Ravindra Hegadi
판 사항
1st ed. 2024.
Physical Description
XX, 405 p 154 illus, 119 illus in color online resource.
Keyword
This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota. The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications. Volume II: Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.
내용주기
Artificial Intelligence and Applied Machine Learning / Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach / Fake News Detection Using Transfer Learning / Deep Learning Envisioned Accident Detection System / Revolutionizing Drug Discovery: Unleashing AI's Potential in Pharmaceutical Innovation / Empathy-Driven Chatbots for the Arabic Language: A Transformer Based Approach / Image Classification Using Federated Learning / Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation / Fake News Investigation Using Ensemble Machine Learning Techniques / Deep Learning Based Bug Detection in Solidity Smart Contracts / Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction / Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users / Deep Reinforcement Learning Based Intelligent Resource Allocation Techniques with Applications to Cloud Computing / A Review on Machine Learning Techniques in IoT-based Smart Grid Applications / Transformation Of Corporate Social Responsibility Practices: Adapting Artificial Intelligence and Internet of Things / Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data / Applied Image Processing and Pattern Recognition / Potato Leaf Disease Classification Using Federated Learning / Sugarcane Bud Detection using YOLOv5 / ELA-Conv: Forgery Detection in Digital Images Based on ELA and CNN / Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study / Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-provoking Crucial Research Area / An Arabic Chatbot Leveraging Encoder-Decoder Architecture Enhanced with BERT / FNMD: An Evaluation of Machine learning and Deep learning Techniques for Fake NewsDetection / Enhancing Robotic Systems for Revolutionizing Healthcare using Markov Decision Processes / Optimizing Drone Navigation using Shortest Path Algorithms / Trees Detection from Aerial Images using the YOLOv5 Family / A Study on Automatic Detection, Length and Mass Estimation of Fishes in Aqua Farming Environment / Comparative Analysis of Various Transfer Learning Approaches In Deep CNNs for Image Classification / Biometrics and Applications / Iris Recognition System in the Context of Authentication / Deep Learning for Biometric Attack Detection and Recognition / A Novel Biometric Authentication based on Blockchain and Watermarking / Hybrid Transfer Learning Approach for Emotion Analysis of Occluded Facial Expressions.
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