Buch, Englisch, 372 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g
Third BenchCouncil International Symposium, IC 2023, Sanya, China, December 3-6, 2023, Revised Selected Papers
Buch, Englisch, 372 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g
Reihe: Communications in Computer and Information Science
ISBN: 978-981-97-0064-6
Verlag: Springer Nature Singapore
The 18 full papers and 8 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: AI Algorithms and Systems; AI for Ocean science and engineering; AI in finance; AI for education; AI for materials science and engineering; AI for medicine; AI for civil aviation; AI for high energy physics; AI for law.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
Weitere Infos & Material
AI Algorithms and Systems.- Efficient and Scalable Kernel Matrix Approximations using Hierarchical Decomposition.- Second-Order Gradient Loss Guided Single-Image Super-Resolution.- The implementation and optimization of FFT calculation based on the MT-3000 chip.- EDFI: Endogenous Database Fault Injection with a Fine-Grained and Controllable Method.- Topic Section Headings: AI for Ocean Science and Engineering.- Diffusion Probabilistic Models for Underwater Image Super-Resolution.- Classification Method for Ship-Radiated Noise Based on Joint Feature Extraction.- AI in Finance.- Forecasting the price of Bitcoin using an explainable CNN-LSTM model.- Augmenting Bankruptcy Prediction using Reported Behavior of Corporate Restructuring.- AI for Education.- A New Dataset and Method for Creativity Assessment Using the Alternate Uses Task.- AI for Materials Science and Engineering.- Convolutional Graph Neural Networks for Predicting Enthalpy of Formation in Intermetallic Compounds Using Continuous Filter Convolutional Layers Predicting Li Transport Activation Energy with Graph Convolutional Neural Network.- AI for Medicine.- KGCN-DDA: a knowledge graph based GCN method for drug-disease association prediction.- Machine Learning for time-to-event prediction and survival clustering: A review from statistics to deep neural networks.- Label-independent Information Compression for Skin Diseases Recognition.- AI for Civil Aviation.- 3D Approach Trajectory Optimization Based on Combined Intelligence Algorithms.- A-SMGCS: Innovation, Applications, and Future Prospects of Modern Aviation Ground Movement Management System.- AI for High Energy Physics.- An Intelligent Image Segmentation Annotation Method Based on Segment Anything Model.- ParticleNet for Jet Tagging in Particle Physics on FPGA.- Application of Graph Neural Networks in Dark Photon Search with VisibleDecays at Future Beam Dump Experiment.- Neutrino Reconstruction in TRIDENT Based on Graph Neural Network.- Charged particle reconstruction for future high energy colliders with Quantum Approximate Optimization Algorithm.- AI for Law.- A Levy Scheme for User-Generated-Content Platforms and its Implication for Generative AI Providers.- Moving Beyond Text: Multi-modal Expansion of the Toulmin Model for Enhanced AI Legal Reasoning.- The Worldwide Contradiction Of The GAI Regulatory Theory Paradigm And China's Response: Focus On The Theories Of Normative Models And Regulatory Systems.- Intelligent Forecasting of Trademark Registration Appeal with TF-IDF and XGBoost.- Review of Big Data Evidence in Criminal Proceedings: Basis of Academic theory, Practical Pattern and Mode Selection.
