Fixed-Time Incremental Neural Control for Manipulator Based on Composite Learning with Input Saturation by Yanli Fan, Haiqi Huang, Chenguang Yang

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Composite learning tracking control for underactuated marine surface vessels with output constraints by Huaran Yan, Yingjie Xiao, Honghang Zhang

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Composite learning sliding mode synchronization of chaotic fractional-order neural networks by Zhimin Han, Shenggang Li, Heng Liu

Subjects: “…Composite learning…”
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Event-Triggered Composite Learning Finite-Time Trajectory Tracking Control for Underactuated MSVs Subject to Uncertainties by Baofeng Pan, Chao Chen, Guibing Zhu, Yuxiang Su

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Robust Composite Dynamic Event-Triggered Control for Multiple USVs with DLLOS Guidance by Guoqing Zhang, Shang Liu, Bo Li, Xianku Zhang

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Robust Adaptive Composite Learning Integrated Guidance and Control for Skid-to-Turn Interceptors Subjected to Multiple Uncertainties and Constraints by Yu Bai, Tian Yan, Wenxing Fu, Tong Li, Junhua Huang

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Identification and Control of Flexible Joint Robots Based on a Composite-Learning Optimal Bounded Ellipsoid Algorithm and Prescribe Performance Control Technique by Xianyan Li, Dongdong Zheng, Kai Guo, Xuemei Ren

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A Comprehensive Assessment and Classification of Acute Lymphocytic Leukemia by Payal Bose, Samir Bandyopadhyay

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Lifelong learning progress monitoring as a tool for local development management by Serhii Pryima, Yuan Dayong, Olena Anishenko, Yuriy Petrushenko, Anna Vorontsova

Subjects: “…Composite Learning Index…”
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Adaptive composite learning dynamic surface control for chaotic fractional-order permanent magnet synchronous motors by Chenhui Wang

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Unlocking Efficiency in Fine-Grained Compositional Image Synthesis: A Single-Generator Approach by Zongtao Wang, Zhiming Liu

Subjects: “…compositional learning…”
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Cross-Modal Compositional Learning for Multilabel Remote Sensing Image Classification by Jie Guo, Shuchang Jiao, Hao Sun, Bin Song, Yuhao Chi

Subjects: “…Compositional learning…”
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Linking Neural and Symbolic Representation and Processing of Conceptual Structures by Frank van der Velde, Frank van der Velde, Jamie Forth, Deniece S. Nazareth, Geraint A. Wiggins

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Modular Compositional Learning Improves 1D Hydrodynamic Lake Model Performance by Merging Process‐Based Modeling With Deep Learning by R. Ladwig, A. Daw, E. A. Albright, C. Buelo, A. Karpatne, M. F. Meyer, A. Neog, P. C. Hanson, H. A. Dugan

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