LEADER 06557nam 22006975 450 001 9910806192403321 005 20240912152223.0 010 $a3-031-53085-3 024 7 $a10.1007/978-3-031-53085-2 035 $a(MiAaPQ)EBC31096192 035 $a(Au-PeEL)EBL31096192 035 $a(DE-He213)978-3-031-53085-2 035 $a(CKB)30157157700041 035 $a(EXLCZ)9930157157700041 100 $a20240129d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Trends in Image Processing and Pattern Recognition $e6th International Conference, RTIP2R 2023, Derby, UK, December 7?8, 2023, Revised Selected Papers, Part II /$fedited by KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh K. Singh, Antoine Vacavant, Anas Abou el Kalam, Mohamed-Rafik Bouguelia, Ravindra Hegadi 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (430 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2027 311 08$aPrint version: Santosh, K. C. Recent Trends in Image Processing and Pattern Recognition Cham : Springer International Publishing AG,c2024 9783031530845 320 $aIncludes bibliographical references and index. 327 $aHealthcare Informatics -- Leveraging Handwriting Impairment as a Biomarker for Early Diagnosis of Parkinson?s Disease -- Enhancing CT Image Visualization and Analysis through Rescaling Raw Pixel Values to Hounsfield Units -- Diabetic Retinopathy Blood Vessel Detection using Deep-CNN-Based Feature Extraction and Classification -- Detection of COVID-19 Disease Using Federated Learning -- Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach -- Compressed Deep Learning Models with XAI for COVID-19 Detection using CXR images -- HLB disease detection in Omani Lime Trees using Hyperspectral Imaging based Techniques -- A Stack Ensemble Approach for Early Alzheimer Classification using Machine Learning Algorithms -- Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-ray -- Silicosis Detection using Extended Transfer Learning Model -- Automated Make and ModelIdentification of Reverse Shoulder Implants Using Deep Learning Methodology -- COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolution Neural Network (GANs-CNN) Model -- Modified Snapshot Ensemble Algorithm for Skin Lesion Classification -- A residual learning approach towards the diagnosis of colorectal disease effectively -- Realistic skin image Data Generation leveraging Conditional GAN and classification using Deep CNN -- Radiography and Thermography based Image Processing Techniques for Assessment of Lower Back Pain -- Exploring Imaging Biomarkers for Early Detection of Alzheimer?s Disease using Deep Learning: A Comprehensive Analysis -- Pattern Recognition in Blockchain, IOT, Cyber Plus Network Security, and Cryptography -- VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks -- Crypto Bank: Cryptocurrency Wallet Based on Blockchain -- Large-Language-Models (LLM) -Based AI Chatbots: Architecture, In-depth Analysis and Their Performance Evaluation -- CincoCrypto - A Cryptocurrency Price Forecasting Tool For Everyone -- Deep Neural Networks Based Security Solution for ATM Transactions -- A Comprehensive Analysis of Blockchain Network Security: Attacks and their Counter measures -- Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis -- Blockchain-Enhanced Federated Learning for Secure Malicious Activity Detection in Cyber-Physical Systems -- Classification of Images Extracted from Scientific Documents for Cyber Deception -- Optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm -- Blockchain for Patient Data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems -- UI/UX for Aerospace Qualification Business Processes -- Comparative Studies of Stochastic Techniques to Minimize the Cost of Biomass Supply Networks -- Federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions. 330 $aThis book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota. The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications. Volume II: Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2027 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer systems 606 $aSocial sciences$xData processing 606 $aApplication software 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer System Implementation 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputer and Information Systems Applications 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer systems. 615 0$aSocial sciences$xData processing. 615 0$aApplication software. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer System Implementation. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputer and Information Systems Applications. 676 $a621.367 702 $aSantosh$b K. C. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910806192403321 996 $aRecent Trends in Image Processing and Pattern Recognition$92495436 997 $aUNINA