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Multimedia Technology and Enhanced Learning: 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III 2024 ed. [Pehme köide]

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Multimedia Technology and Enhanced Learning: 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III 2024 ed.Suurem pilt
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Püsilink: https://www.kriso.ee/db/9783031505768.html
Märksõnad:
The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023.

The 121 papers presented in the proceedings set were carefully reviewed and selected from 285 submissions. They were organized in topical sections as follows: AI-based education and learning systems; medical and healthcare; computer vision and image processing; data mining and machine learning; workshop 1: AI-based data processing, intelligent control and their applications; workshop 2: intelligent application in education; and workshop 3: the control and data fusion for intelligent systems.
Data Mining and Machine Learning:  Research on Pain Information
Management System Based on Deep Learning.- LS-SVM assisted multi-rate INS UWB
itegrated indoor quadrotor localization using Kalman filter.- Design of
Digital Image Information Security Encryption Method Based on Deep
Learning.- Design of Iot Data Acquisition System Based on Neural Network
Combined With STM32 Microcontroller.- Research on Network Equilibrium
Scheduling Method of Water Conservancy Green Product Supply Chain Based on
Compound Ant Colony Algorithm.- Weak Association Mining Algorithm for Long
Distance Wireless Hybrid Transmission Data in Cloud Computing.- Detection
Method of Large Industrial CT Data Transmission Information Anomaly Based on
Association Rules.- Design of Intelligent Integration System for
Multi-Source Industrial Field Data Based on Machine Learning.- Link
Transmission Stability Detection Based on Deep Learning in Opportunistic
Networks.-  Intelligent Mining Method of New Media Art Image Features Based
on Multi-Scale Rule Set.-  Data Security Sharing Method of Opportunistic
Network Routing Nodes Based on Knowledge Graph and Big Data.- Security
Awareness Method of Opportunistic Network Routing Protocol Based on Deep
Learning and Knowledge Graph.- Research on Pedestrian Intrusion Detection
Method in Coal Mine Based on Deep Learning.-  Personalized Recommendation
Method of College Art Education Resources Based on Deep Learning.- Global
Planning Method of Village Public Space Based on Deep Neural Network.- A
Multi Stage Data Attack Traceability Method Based on Convolutional Neural
Network for Industrial Internet.- Machine Learning Based Method for Mining
Anomaly Features of Network Multi source Data.- Data Anti-Jamming Method for
Ad Hoc Networks Based on Machine Learning Algorithm.- A Data Fusion Method of
Information Teaching Feedback Based on Heuristic Firefly Algorithm.- Research
on Database Language Query Method Based on Cloud Computing
Platform.- Reliability Evaluation Method of Intelligent Transportation System
Based on Deep Learning.- Forecasting Method of Power Consumption
Information for Power Users Based on Cloud Computing.- Power Consumption
Behavior Analysis Method Based on Improved Clustering Algorithm of Big Data
Technology.- Anomaly Detection of Big Data Based on Improved Fast Density
Peak Clustering Algorithm.- Data Privacy Access Control Method Based on
Ciphertext Policy Attribute-Based Encryption Algorithm.- Evaluation Method of
Enterprise Circular Economy Development Level Based on AHP Fuzzy
Inference.- Research on Performance Evaluation of Industrial Economic
Management Based on Improved Machine Learning.- Application of Big Data
Processing Technology in Power Consumption Information Acquisition.- Task
Scheduling Method of Wireless Sensor Multimedia Big Data Parallel Computing
Based on Bee Colony Algorithm.