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Intelligence Science V

6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25-28, 2024, Proceedings

Medium: Buch
ISBN: 978-3-031-71252-4
Verlag: Springer Nature Switzerland
Erscheinungstermin: 29.09.2024
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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.

Produkteigenschaften

  • Artikelnummer: 9783031712524
  • Medium: Buch
  • ISBN: 978-3-031-71252-4
  • Verlag: Springer Nature Switzerland
  • Erscheinungstermin: 29.09.2024
  • Sprache(n): Englisch
  • Auflage: 2025
  • Serie: IFIP Advances in Information and Communication Technology
  • Produktform: Gebunden
  • Gewicht: 746 g
  • Seiten: 362
  • Format (B x H x T): 160 x 241 x 27 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

.-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.