Intelligence Science V : 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25–28, 2024, Proceedings / edited by Zhongzhi Shi, Michael Witbrock, Qi Tian.

Format:

Book

Contributor:

Shi, Zhongzhi, editor.

Witbrock, Michael, editor.

Tian, Qi, editor.

Series:

IFIP Advances in Information and Communication Technology, 1868-422X ; 720

Language:

English

Subjects (All):

Artificial intelligence.

Computer vision.

Application software.

Pattern recognition systems.

Education--Data processing.

Education.

Artificial Intelligence.

Computer Vision.

Computer and Information Systems Applications.

Automated Pattern Recognition.

Computers and Education.

Local Subjects:

Artificial Intelligence.

Computer Vision.

Computer and Information Systems Applications.

Automated Pattern Recognition.

Computers and Education.

Physical Description:

1 online resource (368 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Contents:

.-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.

ISBN:

3-031-71253-6