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  <titleInfo>
    <title>Cognitive Systems and Information Processing</title>
    <subTitle>8th International Conference, ICCSIP 2023, Luoyang, China, August 10–12, 2023, Revised Selected Papers, Part II</subTitle>
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    <namePart>Sun, Fuchun.</namePart>
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    <namePart>Meng, Qinghu.</namePart>
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    <namePart>Fu, Zhumu.</namePart>
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    <namePart>Fang, Bin.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XVII, 295 p. 183 illus., 153 illus. in color. online resource.</extent>
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  <abstract>The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023, held in Luoyang, China, during August 10–12, 2023. The 52 full papers presented in these proceedings were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: Volume I : Award; Algorithm &amp; Control; and Application. Volume II: Robotics &amp; Bioinformatics; and Vision.</abstract>
  <tableOfContents>Robotics &amp; Bioinformatics -- Iris Recognition Network based on Full Coordinate Attention -- Obstacle Avoidance Control Method for Robotic Assembly Process Based on Lagrange PPO -- Zero-shot Sim-to-real Transfer of Robust and Generic Quadrotor Controller by Deep Reinforcement Learning -- Robot Manipulation Strategy for Explosives Disposal in Cluttered Scenes -- Adaptive Neural Composite Learning Finite-time Control for a QUAV with Guaranteed Tracking Performance -- Multimodal wearable device signal based epilepsy detection with multi-scale convolutional neural network -- Improving EEG-Based Continuous Grip Force Decoding in Grasp-Lift Tasks by Considering Grip Force Levels -- 3D Path Planning And Tracking Of Quadrotor Based On Improved Whale Optimization Algorithm -- Multimodal Pneumatic Control System for Soft Robot -- Enhancing Robot Manipulation Skill Learning with Multi-Task Capability Based on Transformer and Token Reduction -- Vision -- Exploring Model Depth Adaptation in Image Super-Resolution for Efficient Inference -- RGB to L*a*b* Color Prediction Model Based on Color Cards -- A Diverse Environment Coal Gangue Image Segmentation Model Combining Improved U-Net and Semi-supervised Automatic Annotation -- RB-LIO: A SLAM Solution Applied to Large-Scale Dynamic Scenes with Multiple Moving Objects -- Object Detection with Depth Information in Road Scenes -- Target Detection Method Based on Mobilenetv2-SSD with Multi-Scale Feature Fusion -- No-reference Point Cloud Quality Assessment via Contextual Point-wise Deep Learning Network -- Measurement of Solder Wetting Angle Based on Image Processing and Polynomial Fitting -- Infrared Aircraft Anti-Interference Recognition based on Feature Enhancement CenterNet -- MHRN-ST: Go Board Recognition with Multi-Stage Highlight Removal Network based on Swin Transformer -- Constructionof Minecraft Virtual Reality Scene Based on Voxel Point Cloud.</tableOfContents>
  <note type="statement of responsibility">edited by Fuchun Sun, Qinghu Meng, Zhumu Fu, Bin Fang.</note>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Image processing</topic>
    <topic>Digital techniques</topic>
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  <subject authority="lcsh">
    <topic>Computer vision</topic>
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  <subject authority="lcsh">
    <topic>Computer engineering</topic>
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  <subject authority="lcsh">
    <topic>Computer networks </topic>
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  <subject authority="lcsh">
    <topic>Application software</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Computer Imaging, Vision, Pattern Recognition and Graphics</topic>
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  <subject>
    <topic>Computer Engineering and Networks</topic>
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  <subject>
    <topic>Computer and Information Systems Applications</topic>
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      <title>Communications in Computer and Information Science, 1919</title>
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  <identifier type="isbn">9789819980215</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-99-8021-5</identifier>
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