LEADER 03720nam 22005295 450 001 9910847593203321 005 20240406124735.0 010 $a3-031-57919-4 024 7 $a10.1007/978-3-031-57919-6 035 $a(MiAaPQ)EBC31253952 035 $a(Au-PeEL)EBL31253952 035 $a(CKB)31428210900041 035 $a(DE-He213)978-3-031-57919-6 035 $a(OCoLC)1429306343 035 $a(MiAaPQ)EBC31574298 035 $a(Au-PeEL)EBL31574298 035 $a(EXLCZ)9931428210900041 100 $a20240406d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Information Processing XII $e13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3?6, 2024, Proceedings, Part II /$fedited by Zhongzhi Shi, Jim Torresen, Shengxiang Yang 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (225 pages) 225 1 $aIFIP Advances in Information and Communication Technology,$x1868-422X ;$v704 311 $a3-031-57918-6 327 $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. 330 $aThe two-volume set IFIP AICT 703 and 704 constitutes the refereed conference proceedings of the 13th IFIP TC 12 International Conference on Intelligent Information Processing XII, IIP 2024, held in Shenzhen, China, during May 3?6, 2024. The 49 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. The papers are organized in the following topical sections: Volume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition. Volume II: Image Understanding. 410 0$aIFIP Advances in Information and Communication Technology,$x1868-422X ;$v704 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 700 $aShi$b Zhongzhi$01685488 701 $aTorresen$b Jim$01736304 701 $aYang$b Shengxiang$01736305 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910847593203321 996 $aIntelligent Information Processing XII$94156163 997 $aUNINA