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Intelligence Science V 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25–28, 2024, Proceedings /

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 paper...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Shi, Zhongzhi (Editör), Witbrock, Michael (Editör), Tian, Qi (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edisyon:1st ed. 2025.
Seri Bilgileri:IFIP Advances in Information and Communication Technology, 720
Konular:
Artificial intelligence.
Computer vision.
Application software.
Pattern recognition systems.
Education > Data processing.
Artificial Intelligence.
Computer Vision.
Computer and Information Systems Applications.
Automated Pattern Recognition.
Computers and Education.
Online Erişim:https://doi.org/10.1007/978-3-031-71253-1
Etiketler: Etiketle
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İçindekiler:
  • .-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.

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