Lee / Chang / Lin | Technologies and Applications of Artificial Intelligence | Buch | 978-981-97-1713-2 | sack.de

Buch, Englisch, 241 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

Reihe: Communications in Computer and Information Science

Lee / Chang / Lin

Technologies and Applications of Artificial Intelligence

28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part II

Buch, Englisch, 241 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g

Reihe: Communications in Computer and Information Science

ISBN: 978-981-97-1713-2
Verlag: Springer Nature Singapore


This book constitutes the proceedings of the 28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023, which was held in Yunlin, Taiwan, during December 1–2, 2023.
The 35 full papers and 12 short papers included in this book were carefully reviewed and selected from 193 submissions. The TAAI 2023 provides a platform for experts and scholars from domestic and international universities, research units, and industries to exchange AI technologies and application results.
Lee / Chang / Lin Technologies and Applications of Artificial Intelligence jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Autonomous navigation development of solar panel cleaning vehicle.- Design and Implementation of Optical Lens Defect Detection and Classification System.- Video Deblocking Using Multipath Deep Neural Networks.- A Mixture-of-Experts (MoE) framework for Pose-Invariant Face Recognition via Local Landmark-centered Feature Extraction.- Context Enhanced Recurrent Neural Network for Session-Aware Recommendation.- Fruit Weight Predicting by Using Hybrid Learning.- Artificial Intelligence for Diagnosis of Pancreatic Cystic Lesions in Confocal Laser Endomicroscopy using Patch-based Image Segmentation.- An Egg Sorting System Combining Egg Recognition Model and Smart Egg Tray.- Survival Factors Analysis of Out-of-Hospital Cardiac Arrest Patients via Effective Data Cleaning Techniques and Explainable Machine Learning.- Automatic Identification of Table Contents in Electronic Component Specifications of EDA.- Air Pollution Source Tracing Framework: Leveraging Microsensors and Wind Analysis for Pollution Source Identification.- Prediction of Execution Probabilities and Attack Probabilities of Werewolf Game Using Machine Learning of Game Logs.- Using Strongly Solved Mini2048 to Analyze Players with N-tuple Networks.- Optimizing 3D Object Detection with Data Importance-based Loss Reweighting.- Structural Topology Optimization Using Genetic Algorithm and Fractals.- Optimal Truncated MobileNet-Based Image Binarization for Pose-Based Visual Servoing of Autonomous Mobile Robot.- Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals.- Automated Pediatric Bone Age Assessment using Convolutional Neural Networks. 


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.