<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>06895nam a22005895i 4500</leader>
  <controlfield tag="001">978-981-99-9109-9</controlfield>
  <controlfield tag="003">DE-He213</controlfield>
  <controlfield tag="005">20251030110913.0</controlfield>
  <controlfield tag="007">cr nn 008mamaa</controlfield>
  <controlfield tag="008">240103s2024    si |    s    |||| 0|eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9789819991099</subfield>
    <subfield code="9">978-981-99-9109-9</subfield>
  </datafield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="a">10.1007/978-981-99-9109-9</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
    <subfield code="a">Q334-342</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
    <subfield code="a">TA347.A78</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UYQ</subfield>
    <subfield code="2">bicssc</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">COM004000</subfield>
    <subfield code="2">bisacsh</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2="7">
    <subfield code="a">UYQ</subfield>
    <subfield code="2">thema</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Artificial Intelligence and Robotics</subfield>
    <subfield code="h">[electronic resource] :</subfield>
    <subfield code="b">8th International Symposium, ISAIR 2023, Beijing, China, October 21&#x2013;23, 2023, Revised Selected Papers /</subfield>
    <subfield code="c">edited by Huimin Lu, Jintong Cai.</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">1st ed. 2024.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Singapore :</subfield>
    <subfield code="b">Springer Nature Singapore :</subfield>
    <subfield code="b">Imprint: Springer,</subfield>
    <subfield code="c">2024.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">XV, 535 p. 255 illus., 228 illus. in color.</subfield>
    <subfield code="b">online resource.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
    <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="a">computer</subfield>
    <subfield code="b">c</subfield>
    <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="a">online resource</subfield>
    <subfield code="b">cr</subfield>
    <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="a">text file</subfield>
    <subfield code="b">PDF</subfield>
    <subfield code="2">rda</subfield>
  </datafield>
  <datafield tag="490" ind1="1" ind2=" ">
    <subfield code="a">Communications in Computer and Information Science,</subfield>
    <subfield code="x">1865-0937 ;</subfield>
    <subfield code="v">1998</subfield>
  </datafield>
  <datafield tag="505" ind1="0" ind2=" ">
    <subfield code="a">T-spline Surface Fairing Based on Centripetal Re-parameterization -- Enhanced Object Detection of Abnormal Light Based on Multi-scale Retinex with Chromacity -- CS-Net: A Stain Style Transfer Network for Histology Images with CS-Gate Attention -- Single-image 3D Human Pose and Shape Estimation Enhanced by Clothed 3D Human Reconstruction -- IoT Botnet Attacks Detection and Classification Based on Ensemble Learning -- STGAN: Sonar Image Despeckling Method Utilizing GAN and Transformer -- Teacher classroom behavior detection based on a human pose estimation algorithm -- Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning -- C2FC: Coarse-to-fine Contour-based Method For Interactive Medical Image Segmentation -- DDTM: A Distance-Based Data Transformation Method for Time Series Classification -- Two Stream Multi-Attention Graph Convolutional Network For Skeleton-Based Action Recognition -- Aesthetic Multi-Attributes Captioning Network for Photos -- Improving Road Extraction in Hyperspectral Data with Deep Learning Models -- Human Related Information Extraction from Chinese Archive Images -- Multi-virtual View Scoring Network for 3D Hand Pose Estimation from a Single Depth Image -- Digital Archive Stamp Detection and Extraction -- Underwater Image Enhancement Using Improved Shallow-UWnet -- Single Image Reflection Removal using DeepLabv3+ -- Improved GR-ConvNet for Antipodal Robotic Grasping -- An Indirect State-of-Health Estimation Method for Lithium-Ion Battery Based on Correlation Analysis and Long Short-Term Memory Network -- A Quantum Behaved Particle Swarm Optimization with a Chaotic Operator -- A novel small object detection method based on improved transformer model -- A Novel Full-scale Skip Connections Approach Based on U-Net for COVID-19 Lesion Segmentation in CT Images -- Personnel Intrusion Detection in Railway Perimeter with ImprovedYOLOv7 -- Research on Watermark Embedding of Fax Channel Images Based on U-Net Network -- An enhanced downsampling Transformer network for point cloud semantic segmentation -- Improved DGCNN based on Transformer for point cloud segmentation -- Symmetry Analysis of Face from A Video Image of 3D Point Cloud -- A Contrastive Learning-based Interpretable Prediction Model for Patients with Heart Failure -- A Dictionary-based Concept Extraction Method for Chinese Course Knowledge -- Image Recoloring for Color Blindness Considering Naturalness and Harmony -- Improving PSO-SVM for Fatigue Recognition -- Parallel Attention Mechanism Based Multi-feature Fusion for Underwater Object Tracking -- Cross-modal Visual Correspondences Learning without External Semantic Information for Zero-shot Sketch-based Image Retrieval -- Remaining Useful Life Prediction of Aircraft Engines using DCNN-BiLSTM with K-means Feature Selection -- Multiscale Transfer Learning Based Fault Diagnosis of Rolling Bearings -- Experimental Comparison of Three Topic Modeling Methods with LDA, Top2Vec and BERTopic -- Unsupervised Person Re-identification via Differentiated Color Perception Learning -- A Quantitative evaluation method for Parkinson's disease -- Mobile Robot Path Planning Based on Improved Ant Colony -- Learning communication with limited range in multi-agent cooperative tasks -- Intelligent pet house environment control system based on decoupling fuzzy neural network -- Research on Automatic Medicine Box System for Community with Extreme Learning Machine Based on Sparrow Search Algorithm Improvement -- Multimodal Depression Detection Network based on Emotional and Behavioral Features in Conversations -- Enhancing Nighttime Vehicle Segmentation for Autonomous Driving based on YOLOv5 -- Improved YOLOv7 Small Object Detection Algorithm for Seaside Aerial Images -- Research on Lightweight Road Semantic Segmentation Algorithm based on DeepLabv3+ -- What Is a Proper Face Registration for Face Recognition? -- An Effective Hand Pose Estimation based Evaluation Method in Assessing Parkinson&#x2019;s Finger Tap Movements -- 3D Segmentation of Bin Picking by Domain Randomization.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">This book constitutes the refereed proceedings of the 8th International Symposium on Artificial Intelligence and Robotics, ISAIR 2023, held in Beijing, China, during October 21&#x2013;23, 2023. The 50 full papers included in this book were carefully reviewed and selected from 103 submissions. They focus on three important areas of Pattern Recognition: Artificial Intelligence; Robotics and Internet of Things, Covering Various Technical Aspects.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Artificial intelligence.</subfield>
    <subfield code="9">58441</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Image processing</subfield>
    <subfield code="x">Digital techniques.</subfield>
    <subfield code="9">64228</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer vision.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer engineering.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
    <subfield code="a">Computer networks&#xA0;.</subfield>
    <subfield code="9">60157</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="4">
    <subfield code="a">Artificial Intelligence.</subfield>
    <subfield code="9">58441</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Imaging, Vision, Pattern Recognition and Graphics.</subfield>
    <subfield code="9">65550</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Engineering and Networks.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="4">
    <subfield code="a">Computer Communication Networks.</subfield>
    <subfield code="9">65689</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Lu, Huimin.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">69183</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Cai, Jintong.</subfield>
    <subfield code="e">editor.</subfield>
    <subfield code="4">edt</subfield>
    <subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield>
    <subfield code="9">69184</subfield>
  </datafield>
  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="a">SpringerLink (Online service)</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
    <subfield code="t">Springer Nature eBook</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9789819991082</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9789819991105</subfield>
  </datafield>
  <datafield tag="830" ind1=" " ind2="0">
    <subfield code="a">Communications in Computer and Information Science,</subfield>
    <subfield code="x">1865-0937 ;</subfield>
    <subfield code="v">1998</subfield>
    <subfield code="9">66508</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
    <subfield code="u">https://doi.org/10.1007/978-981-99-9109-9</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SCS</subfield>
  </datafield>
  <datafield tag="912" ind1=" " ind2=" ">
    <subfield code="a">ZDB-2-SXCS</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">57078</subfield>
    <subfield code="d">57078</subfield>
  </datafield>
</record>
