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020 _a9783031579196
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024 7 _a10.1007/978-3-031-57919-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aIntelligent Information Processing XII
_h[electronic resource] :
_b13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3–6, 2024, Proceedings, Part II /
_cedited by Zhongzhi Shi, Jim Torresen, Shengxiang Yang.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXX, 207 p. 73 illus., 65 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aIFIP Advances in Information and Communication Technology,
_x1868-422X ;
_v704
505 0 _a -- Early Anomaly Detection in Hydraulic Pumps Based on LSTM Traffic Prediction Model. -- Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models. -- Recognition of Signal Modulation Pattern Based on Multi-Task Self-Supervised Learning. -- Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis. -- Utilizing Attention for Continuous Human Action Recognition Based on Multimodal Fusion of Visual and Inertial. -- HARFMR: Human Activity Recognition with Feature Masking and Reconstruction. -- CAPPIMU: A Composite Activities Dataset for Human Activity Recognition Utilizing Plantar Pressure and IMU Sensors. -- Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Series. -- Image Understanding. -- A Concept-Based Local Interpretable Model-agnostic Explanation Approach for Deep Neural Networks in Image Classification. -- A Deep Neural Network-based Segmentation Method for Multimodal Brain Tumor Images. -- Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures. -- 3D Object Reconstruction with Deep Learning. -- Adaptive Prototype Triplet Loss for Cross-Resolution Face Recognition. -- Hand Gesture Recognition Using a Multi-modal Deep Neural Network.
520 _aThe two-volume set IFIP AICT 703 and 704 constitutes the refereed conference proceedings of the 13th IFIP TC 12 International Conference on Intelligent Information Processing XII, IIP 2024, held in Shenzhen, China, during May 3–6, 2024. The 49 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. The papers are organized in the following topical sections: Volume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition. Volume II: Image Understanding.
650 0 _aArtificial intelligence.
650 1 4 _aArtificial Intelligence.
700 1 _aShi, Zhongzhi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTorresen, Jim.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYang, Shengxiang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031579189
776 0 8 _iPrinted edition:
_z9783031579202
776 0 8 _iPrinted edition:
_z9783031579219
830 0 _aIFIP Advances in Information and Communication Technology,
_x1868-422X ;
_v704
856 4 0 _uhttps://doi.org/10.1007/978-3-031-57919-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c187612
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