Intelligent Human Computer Interaction
15th International Conference, IHCI 2023, Daegu, South Korea, November 8-10, 2023, Revised Selected Papers, Part II
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023, held in Daegu, South Korea, during November 8-10, 2023.
The 55 full papers...
The 55 full papers...
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Klappentext zu „Intelligent Human Computer Interaction “
This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Human Computer Interaction, IHCI 2023, held in Daegu, South Korea, during November 8-10, 2023.The 55 full papers and 16 short papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows:
Volume I: Natural Language and Dialouge Systems, Affective Computing and Human Factors, Human Centred AI, Human-Robot Interaction and Intelligent Interfaces and User Centred Design.
Volume II: AI and Big Data, Deep Learning, Intelligent Systems, Mobile Computing and Ubiquitous Interactions and Social Computing and Interactive Elements.
Inhaltsverzeichnis zu „Intelligent Human Computer Interaction “
AI and Big Data.- Automated Fashion Clothing Image Labeling System.- AI-based Estimation from Images of Food Portion Size and Calories for Healthcare Systems.- Blockchain Technology as a Defense Mechanism Against Data Tampering in Smart Vehicle Systems.- Classification of Weeds using Neural Network Algorithms and Image Classifiers.- Weed detection in Rice field using Improved R-CNN.- Deep Learning.- Spatial Attention Transformer based Framework for Anomaly Classification in Image Sequences.- Development of LSTM-Based Sentence Generation Model to Improve Recognition Performance of OCR System.- Satellite imagery super resolution using classical and deep learning algorithms.- Traffic Sign Recognition by Image Preprocessing and Deep Learning.- Convolutional Autoencoder for Vision-based Human Activity Recognition.- Deep Learning Approach for Enhanced Object Recognition and Assembly Guidance with Augmented Reality.- 3D Facial Reconstruction from a Single Image using a Hybrid Model based on 3DMM and Deep Learning.- Human Activity Recognition with a Time Distributed Integration of Deep Neural Network.- Intelligent Systems.- Artificial Neural Network To Estimate Deterministic Indices In Control Loop Performance Monitoring.- Interference Mitigation in Multi-Radar Environment Using LSTM-Based Recurrent Neural Network.- Centrifugal Pump Health Condition Identification Based on Novel Multi-Filter Processed Scalograms and CNN.- Attacks on Cryptosystems and Countermeasures.- A Prototype of IoT Medication Management System for Improved.- Mobile Computing and Ubiquitous Interactions.- Navigating the Complexities of 60 GHz 5G Wireless Communication Systems: Challenges and Strategies.- A survey on channel estimation technique classifications and various algorithms.- Wearable-based SLAM with Sensor Fusion in Firefighting
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Operations.- The Novel Electrocardiograph Sensor and Algorithm for Arrhythmia Computer Aided Detection.- Optimizing Sensor Subset Selection with Quantum Annealing: A Large-Scale Indoor Temperature Regulation Application.- Smart IoT-based Wearable Lower-Limb Rehabilitation Assistance System.- Using Machine Learning of Sensor Data to Estimate the Production of Cutter Suction Dredgers.- Optimizing Microstrip Patch Antenna Array Feeders for Efficient Wi-Fi Energy Harvesting.- A Resource Efficient Encoding Algorithm for Underwater Wireless optical Communication Link.- Containerized Wearable Edge AI Inference Framework in Mobile Health Systems.- Social Computing and Interactive Elements.- Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT.- Wi-SafeHome: WiFi Sensing based Suspicious Activity Detection for Safe Home Environment.- Comparative Analysis of Machine Learning Models for Menu Recommendation System.- A novel similarity-based method for link prediction in complex networks.- Semantic Segmentation Based Image Signature Generation for CBIR.- Startup Unicorn Success Prediction using Ensemble Machine Learning Algorithm.
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Bibliographische Angaben
- 2024, 2024, XX, 341 Seiten, 142 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Bong Jun Choi, Dhananjay Singh, Uma Shanker Tiwary, Wan-Young Chung
- Verlag: Springer, Berlin
- ISBN-10: 3031538293
- ISBN-13: 9783031538292
Sprache:
Englisch
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