Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

11th International Conference on Future Data and Security Engineering, FDSE 2024, Binh Duong, Vietnam, November 27-29, 2024, Proceedings, Part II
Herausgegeben:Dang, Tran Khanh; Küng, Josef; Chung, Tai M.

• Broschiertes Buch

Produktbeschreibung

This two-volume set CCIS 2309-2310 constitutes the refereed proceedings of the 11th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2024, held in Binh Duong, Vietnam, during November 27-29, 2024.

The 44 full papers, 12 short papers and 1 keynote paper were carefully reviewed and selected from 189 submissions. They were organized in topical sections as follows: advances in machine learning for big data analytics; security and privacy engineering; data analytics and healthcare systems; smart city and industry 4.0 applications; big data query processing and optimization; and short papers; security and data engineering.

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Produktdetails

• Communications in Computer and Information Science 2310
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-0436-4
• Seitenzahl: 404
• Erscheinungstermin: 27. November 2024
• Englisch
• Abmessung: 235mm x 155mm x 22mm
• Gewicht: 610g
• ISBN-13: 9789819604364
• ISBN-10: 9819604362
• Artikelnr.: 71903035

Inhaltsangabe

.- Security and Privacy Engineering.
.- Analysis of the Adoption and Implementation of DICT's Six Stage Cybersecuri-ty Incident Response Model in Philippine Government Agencies.
.- Navigating Differential Privacy Constraints in Machine Learning.
.- Live Memory Forensics on Virtual Memory.
.- A Secure Multi Tenant Architecture for Customer Experience Survey Software.
.- Data Analytics and Healthcare Systems.
.- Automated Screening for Ocular Abnormalities: Leveraging Data Augmenta-tion for Improved Diagnostic Accuracy.
.- Evaluation of YOLOv8 in Lung Lesion Segmentation on CT Images.
.- White Blood Cell Segmentation using Kolmogorov-Arnold Network coupled with UNet.
.- Detection and Evaluation of Ki67 proliferation index of Breast Cancer Cells using Deep Learning Technique.
.- Big Data Query Processing and Optimization.
.- Decomposition of Quaternion like Algebras into a Set of Commutative Subalge-bras.
.- On the Two-Dimensional ParityCheck Method.
.- JREP A Job Runtime Ensemble Predictor for Improving Scheduling Perfor-mance on High Performance Computing Systems.
.- Quantum Approach for Constructing Phylogenetic Maximum Parsimony Tree.
.- Neural Networks Based Fuzzy Join Algorithm in Big Data Processing.
.- Advances in Machine Learning for Big Data Analytics.
.- Hypertension Classification for Fundus Image Based on Improving Clahe Mor-phology in Wavelet Transform and ResUNet.
.- MSA4GL Low Resource Text Embedding and Classification with Multi-Scale Attention Diffusion for Graph Learning.
.- Dilated Sequential Models with Dual-Stage Attention for Stock Pre-diction.
.- Multi-threaded approach in associative classification.
.- An Approach for Movie Recommendation using Deep Matrix Factor-ization.
.- Machine Learning for Enhanced Exercise Performance and Planning.
.- Smart City and Industry 4.0 Applications.
.- Factor Analysis of Weather Conditions Impact on Firefighter Inter-ventions.
.- VIMVA: Innovative Multimodal Recognition in Vietnamese Folk Dance Video Analysis.
.- Resource-Efficient Vietnamese Text Summarization: Enhancing Vistral 7B Performance.
.- Combining the 1D CNN model and transfer learning model in analyzing learner emotions.
.- Short Papers: Security and Data Engineering.
.- Sequential Patch Analysis Framework for Lung Disease Classification.
.- A Lightweight Transformer-based Model for Fight Recognition.
.- Biomedical Data Mining and Transformation Framework.
.- IoT based Electrical Energy Monitoring System.
.- Applying Blockchain Technology in Learning Management Systems: A Novel Approach to Secure and Transparent Education Management.
.- Efficient Privacy Preserving Association Rule Mining with Map Reduce.