Buch, Englisch, Band 720, 362 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 746 g
Reihe: IFIP Advances in Information and Communication Technology
6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25-28, 2024, Proceedings
Buch, Englisch, Band 720, 362 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 746 g
Reihe: IFIP Advances in Information and Communication Technology
ISBN: 978-3-031-71252-4
Verlag: Springer Nature Switzerland
This book constitutes the refereed proceedings of the 6th IFIP TC 12 International Conference on Intelligence Science, ICIS 2024, held in Nanjing, China, in October 25-28, 2024.
The 23 full papers and 2 short papers presented here were carefully reviewed and selected from 32 submissions. These papers have been categorized into the following sections: Machine Learning; Causal Reasoning; Large Language Model; Intelligent Robot; Perceptual Intelligence; AI for Science; Medical Artificial Intelligence.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
Weitere Infos & Material
.-Machine Learning.
.- Difference-Enhanced Learning of the Deep Semantic Segmentation Networks for First Break Picking.
.- A Framework of Reinforcement Learning for Truncated L´evy Flight Exploratory.
.- Detection of depression in EEG Signals Based on Convolutional transformer and adaptive transfer learning.
.- Twin Bounded Least Squares Support Vector Regression.
.-MLEE: Event Extraction as Multi-Label Classification Task at Token Level.
.- Research on Improvement of Sweeping Learning Chain Algorithm Based on Factor Space Theory.
.- End-to-End Control of a Quadrotor Using Gaussian Ensemble Model-Based Reinforcement Learning.
.- Causal Reasoning.
.- Research on the Causal Forest Algorithm based on Factor Space Theory.
.- Superpositioner – A Non-logical Computation Model.
.- Research on Factor Support Vector Multi-classification Algorithm based on Factor Space Theory.
.- Large Language Model.
.-Improve LLM Inference Performance with Matrix Decomposition Strategies.
.- Intelligent Robot.
.- Trajectory Prediction of Unmanned Surface Vehicle Based on Improved Transformer.
.- Deep Neural Network Based Relocalization of Mobile Robot in Visual SLAM.
.- A Vision-Based Method for UAV Autonomous Landing Area Detection.
.- Perceptual Intelligence.
.- Research on Object Detection for Intelligent Sensing of Navigation Mark in Yangtze River.
.- Cascaded Sliding-Window-based Relativistic GAN Fusion for Perceptual and Consistent Video Super-Resolution.
.- Integration of Raman Spectroscopy, On-line Microscopic Imaging and Deep learning-based Image Analysis for Real-time Monitoring of Cell Culture Process.
.- DRL-SLAM: Enhanced Object Detection Fusion with Improved YOLOv8.
.- Driver Fatigue Recognition Based on EEG Signal and Semi-Supervised Learning.
.- SC-EcapaTdnn: ECAPA-TDNN with Separable Convolutional for Speaker Recognition.
.- AI for Science.
.- Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies.
.-DSFM Method: A New Approach to Enhancing Discrimination Ability on AI-Generated Datasets.
.- Medical Artificial Intelligence.
.- Enhancing Weakly Supervised Medical Segmentation via Heterogeneous Co-training with Box-wise Augmentation and Pseudo-label Filtering.
.- FCGA-Former: A Hybrid Factor Space Classification Model for Predicting the Tumor Mutation Burden of Lung Adenocarcinoma.
