Description
Book Synopsis.-Machine Learning.
.- Difference-Enhanced Learning of the Deep Semantic Segmentation Networks for First Break Picking.
.- A Framework of Reinforcement Learning for Truncated Levy 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.
