Cognitive Computation and Systems

4th International Conference, ICCCS 2025, Chengdu, China, November 22–23, 2025, Revised Selected Papers, Part II

AvBin Xu,Hong Cheng

Häftad, Engelska, 2026

Del i serien Communications in Computer and Information Science

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Beskrivning

This book constitutes the refereed proceedings of the 4th International Conference on Cognitive Computation and Systems, ICCCS 2025, held in Chengdu, China, November 22–23, 2025.The 79 full papers presented in this book were carefully selected and reviewed from 199 submissions. The papers are organized in the following topical sections:Part I: Cognitive computing and Multimodal information processingPart II: Intelligent robotics

Produktinformation

Utgivningsdatum:2026-06-19
Mått:155 x 235 x 28 mm
Vikt:774 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:503
Förlag:Springer Verlag, Singapore
ISBN:9789819589807

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Innehållsförteckning

.- Heuristic-RRT*: An Optimal Motion Planning Algorithm Inspired by Plant Tropism and Guided by Environmental Index..- An Algorithm of Servo Feedback Anomaly Detection and Suppression based on Adaptive Confidence..- Distributed H-H∞ Attack Detection Based on FDI for Multi-Area Load Frequency Control Systems..- Open circuit fault diagnosis method of three-level inverter based on generalized S-transform. .- An External Knowledge-based Text classification Method for Few-Shot Text..- SRCNN-Based High-Resolution Downscaling Forecasting of Arctic Sea Ice Concentration. .- Improved ResNet-34 Based Segmentation of Convergence and Shadow Zones in Transmission Loss Maps. .- Design of Unmanned Swarm Combat Control Strategy based on Lanchester Equations. .- Event-Triggered Robust Tracking Control for Robotic Manipulators with Uncertain Dynamics: A Finite-Time Adaptive Neural Learning Method..- Frequency-Aware Dual-Graph Fusion for Spatial Domain Recognition..- Database Tibetan Query Optimization based on Generated TSpider Dataset and Input Feature Enhanced Large Language Models. .- A low-cost compact GNSS heading determination method. .- H¥ Adaptive Intermittent Noncollocated Boundary Observer Design for Nonlinear Parabolic DPSs..- Trajectory Planning for Intelligent Vehicles in Unstructured Environments: An Unconstrained Optimization Method Based on Improved Hybrid A*..- An Improved Artificial Potential Field Algorithm Based on a Guided Path Construction Mechanism..- Multi-vehicle Collaborative Detection with Instance-level Query..- Efficient Sparse Matrix Estimation and Dissimilarity Detection Method for Incipient Faults in Dynamic Industrial Processes..- Test Method for Traction Turning Performance Verification of Fixed Wing UAV. .- Research on UAV Mission Reliability Flying Test Method Based on Mission Profiles..- Aircraft Structural Reliability Assessment Method Based on Data Fusion. .- Optimized Backstepping Consensus Control Using Reinforcement Learning of Observer-Critic-Actor Architecture Based on Neural Network for a Class of Nonlinear Strict-Feedback Multi-Agent Systems. .- Carbon-Aware Stochastic Scheduling of Power Systems with High-Penetration Renewable Energy and Multi-Timescale Energy Storage..- A flotation process performance perception method based on TPA-BiLSTM and a working condition knowledge-guided attention mechanism..- Cross-Condition Bearing Fault Diagnosis via DANN Enhanced with MSCNN and Minimum Class Confusion. .- Research on Human-Exoskeleton Collaboration Performance Evaluation in Typical Aerospace Component Assembly Scenarios..- Optimal Tracking Control for Markov Jump Systems via Reinforcement Learning..- A Unified LMI Conditions for Parameter Estimation Impedance Control Strategy with Time Delay of Mechanical Systems..- Fuzzy Finite-time Adaptive Tracking Control for Nonlinear Systems with External Disturbances..- Using LLMs to Manage Voice-based Aerial-Ground Communication in UAV Systems..- A Node Importance Analysis Method for Solving Drug Target Identification Problems. .- Federated Transfer Learning with a Hybrid CNN-Transformer Model for Bearing Fault Diagnosis..- A Method for Diagnosing Engine Rotor Faults Based on Pre-trained Transformers and Generative Adversarial Networks.

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