Intelligence Science V

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.

Klappentext

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.

Inhalt

.-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.