El. knyga: Intelligence Science V: 6th IFIP TC 12 International Conference, ICIS 2024, Nanjing, China, October 25-28, 2024, Proceedings

.-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.