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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 11th International Conference on Futur

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 11th International Conference on Futur (Paperback)

Tran Khanh Dang, Josef K?g, Tai M. Chung (엮은이)
Springer
162,480원

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 11th International Conference on Futur
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책 정보

· 제목 : Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 11th International Conference on Futur (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 기업 애플리케이션 > 일반
· ISBN : 9789819604333
· 쪽수 : 377쪽
· 출판일 : 2024-11-27

목차

.- Advances in Machine Learning for Big Data Analytics.
.- Parameters Identification Based on Deep Neural Networks for the Microplane Material Model of UHPC under Uni-axial Compression.
.- Predicting Bitcoin's Price: A Critical Review of Forecasting Models and Method.
.- Enhancing Explainable Herbal Recognition with Vision Transformer Features and SVM.
.- Session-based Product Recommendation using Graph Neuron Net-works.
.- Improving The Polyp Image Segmentation Based on Parallel Reverse Attention Network.
.- Security and Privacy Engineering.
.- Adversarial Perturbations for License Plate Information Privacy.
.- IU-VecCert: A Scalable Credentials Issuance Protocol Using Non-Interactive Vector Commitment Scheme.
.- A Study on Deep Graph Neural Networks for Security Vulnerabilities Detection in Web Applications.
.- Secure as a Service VNF: A Proposed VNF Architecture for Proac-tive Malware Detection during File Downloads in Enterprises.
.- Data Analytics and Healthcare Systems.
.- Enhancing Efficiency of Multi-Label X-Ray Image Classification with Self Supervised Learning Based on Compact Swin Transformers.
.- Curated Colon Disease Diagnosis using Principal Component Analy-sis and Deep Learning with Integrated Gradient.
.- ?Clinical Data-Driven Explainable AI for COVID-19 Treatment Out-come Analysis.
.- Medical Signal Analysis for Early ECG Classification using Machine Learning Models.
.- Detection and Classification of Liver Lesions Using Vision Trans-former and Active Learning.
.- Detection and Classification of Osteoarthritis using Vision Trans-former in Distributed Environment.
.- Smart City and Industry 4.0 Applications.
.- Legal-Onto Model for Efficient Land Law Updates in Vietnam.
.- Exploring Distillation Models for Cultural Heritage Preservation: Traditional Vietnamese Instruments.
.- Optimizing Customer Feedback Analysis with BERT - based Senti-ment Classification: A Case Study of Toyota Dong Sai Gon.
.- Estimating Traffic Density Using Convolutional Neural Networks Based on Crowd Counting.
.- MedQAS: A Medical Question Answering System Based on Finetun-ing Large Language Models.
.- Machine Learning UHF-RFID to Support Video Tracking and Rec-ommendation for Attendance System.
.- Short Papers: Security and Data Engineering.
.- A Pronunciation Practice System Based on Pre-Trained Deep Learn-ing Models.
.- An Automatic System Architecture Applying XAI for Dataset Fea-ture Selection in Supervised Learning.
.- Entity Labeling and Data Analysis Framework.
.- SVSD: A Comprehensive Framework for Vietnamese Sentiment Analysis.
.- A YoloX-based Approach for Detecting Human and Classifying their own pet to Monitor and Improve Services at the Veterinary clinic.
.- Intrusion detection in Internet of Medical Things.

도서 정보 제공 : Yes24(www.yes24.com), 알라딘(www.aladin.co.kr)

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