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  • Produktbild: Multimedia Technology and Enhanced Learning
  • Produktbild: Multimedia Technology and Enhanced Learning
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Multimedia Technology and Enhanced Learning 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part IV

Aus der Reihe Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.02.2024

Abbildungen

XIV, 414 p. 218 illus., 160 illus. in color.

Herausgeber

Bing Wang + weitere

Verlag

Springer

Seitenzahl

414

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

645 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-50579-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.02.2024

Abbildungen

XIV, 414 p. 218 illus., 160 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

414

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

645 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-50579-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Multimedia Technology and Enhanced Learning
  • Produktbild: Multimedia Technology and Enhanced Learning

  • Workshop 1: AI-based Data Processing, Intelligent Control 
    and Their Applications: 
    Research and practice of sample data set collection platform based on deep learning campus question answering system.- An optimized eight-layer convolutional neural network based on blocks for Chinese fingerspelling sign language recognition.- Opportunities and Challenges of Education based on AI – The case of ChatGPT.- Visualization Techniques for analyzing learning effects – taking python as an example.- Adversarial Attack on Scene Text Recognition Based on Adversarial Networks.- Collaboration of Intelligent Systems to ImproveInformation Security.- X”1+X” Blended Teaching Mode Design in MOOC Environment.- A CNN-based algorithm with optimized attention mecha-nism for sign language gesture recognition.- Research on Application of Deep Learning in Esophageal Cancer Pathological Detection.- 
    Workshop 2: Intelligent Application in Education: 
    Coke Quality Prediction Based on Blast Furnace Smelting Process Data.- Design and development on an accessible community website of online learning and communication for the disabled.- Exploration of the Teaching and Learning Model for College Students with Autism Based on Visual Perception—A case study in Nanjing Normal University of Special Education.- Multi-modal Characteristics Analysis of Teaching Behaviors in Intelligent Classroom.- Based on the 2010-2022 review of domestic and foreign educational evaluation and university internal evaluation methods.- A Summary of the Research Methods of Artificial Intelligence in Teaching.- A Sign Language Recognition based on Optimized Transformer Target Detection Model.-
    Workshop 3: The Control and Data Fusion for Intelligent 
    Systems: 
     History and Trends in the Development of Electrostimulation Electrodes.- Non-invasive scoliosis assessment in adolescents.- Algorithm of pedestrian detection based on YOLOv4.- A survey of the effects of electrical stimulation on pain in patients with knee osteoarthritis.- The Design of Rehabilitation Glove System Based on sEMG Signals Control.- Gaussian Mass Function based Multiple Model Fusion for Apple Classification.- Research on lightweight pedestrian detection method based on YOLO.-  Research on the verification method of capillary viscometer based on connected domain.- Research on License Plate Recognition Methods based on YOLOv5s and LPRNet.- Research on Defective Apple Detection Based on Attention Module and ResNet-50 Network.- Understanding the Trend of Internet of Things Data Prediction.-  Finite element simulation of cutting temperature distribution in coated tools during turning processes.- Teaching Exploration on Calculation Method under the Background of Emerging Engineering.- Predicting NOx emission in thermal power plants based onbidirectional long and short term memory network.- On the Trend and Problems of IoT Data Anomaly.- Power Sequencial Data - Forecasting Trend.- Comparison of Machine Learning Algorithms for Sequencial Dataset Prediction Detection.- Trend and Methods of IoT Sequential Data Outlier Detection.- Optimization of Probabilistic Roadmap based on two-dimensional static environment.-  Partition Sampling Strategy for Robot Motion Planning in Narrow Passage under Uncertainty.-  IoT Time-Series Missing Value Imputation - Comparison of Machine Learning Methods.