• Neu
Ma / She / Xin | Advanced Computational Intelligence and Intelligent Informatics | E-Book | www2.sack.de
E-Book

E-Book, Englisch, 645 Seiten

Reihe: Communications in Computer and Information Science

Ma / She / Xin Advanced Computational Intelligence and Intelligent Informatics

9th International Workshop, IWACIII 2025, Zhuhai, China, October 31 – November 4, 2025, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-981-956730-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

9th International Workshop, IWACIII 2025, Zhuhai, China, October 31 – November 4, 2025, Proceedings, Part I

E-Book, Englisch, 645 Seiten

Reihe: Communications in Computer and Information Science

ISBN: 978-981-956730-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark



This four-volume set constitutes the refereed proceedings of the 9th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2025, held in Zhuhai, China, in October 31 – November 4, 2025.

The 173 papers presented were thoroughly reviewed and selected from the 393 qualifies submissions.

Ma / She / Xin Advanced Computational Intelligence and Intelligent Informatics jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Intelligent Decision-Making And Optimization.

.- A Multi-Operator Evolutionary Algorithm for the Multi-Objective WTA Problem.
.- An adaptive multi-granularity dynamic task reallocation method based on CBBA.
.- Complete Coverage Path Planning based on Comprehensive Improved Particle Swarm Optimization Algorithm.
.- Multi-UGV Task Allocation Based on Improved NSGA-II Algorithm for Forest Firefighting.
.- Research on Cooperative Application of UAV Swarm based on Cyber Network.
.- A Situation Awareness Method for UAV Swarm Based on Modified Endsley Model.

.- Smart Education.

.-Intelligent Detection of Student Classroom Behavior Based on an Improved YOLOv8 Model.
.-Improving Generative Aspect-Based Sentiment Analysis via Multi-View Data Augmentation and Supervised Contrastive Learning.
.- Dual-Path Attention-Enhanced Graph Convolutional Network for Children's Speech Emotion Recognition.
.- Evaluating Learning States in Synchronous Remote Classes via Qwen2.5-Max with RAG and ReAct Agent.

.- Smart Healthcare And Rehabilitation.

.- Deep Learning-based Quantification of Lumbar Disc Herniation on High-resolution Magnetic Resonance Imaging.
.- A Survey of Deep Learning Models from DCNNs to Transformers for Correcting MRI Artifacts and Assisting Smart Healthcare.
.- LungAide: An effective 3D Transformer V-Net for Lung Nodule Detection.
.- Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes with Censored Data.
.- PID control with pedal torque estimation for safety monitoring in lower-limb rehabilitation robots.

.- Machine Learning.

.- Optimization of traction transformer status prediction based on missing data imputation.
.- Online Fine-tuning for Robustness in Offline Reinforcement Learning: Actor-Critic vs Decision Transformer.
.- Feature Expansion based Graph Transformer for Node Classification.
.- API Sequence Representation via Stochastic Distribution Prediction.
.- Cascade adaptive phase optimized active disturbance rejection control for ultra-supercritical units.

.- AI For Science And Culture.

.- Research on Decision Support for Cultural Heritage Conservation Using Agent-based AI Systems with Prompt Engineering——A Case Study of the "Heritage Echo Planet" World Heritage Large Language Model.
.- Building an AI Knowledge Infrastructure for the World Cultural Heritage Vertical: Methodology and Challenges from Local Databases.
.- Sustainable Tourism Water Management Research in Bali Based on Grey Correlation Analysis and Intelligent Optimization Algorithms.
.- Weak N-best POAFD for Second Order Initial Value Problems of Ordinary Differential Equations.
.- Backstepping Stabilization of Stochastic Hyperbolic PDE-ODE Systems.

.- Physically Inspired Intelligent Optimization: From Theory To Real-World Systems.

.- A 3D Gaussian Splatting-Based Framework for Occlusion-Aware Reconstruction of Immovable Cultural Heritage from Crowd-Sourced Data.
.- G-COA : an optimization algorithm inspired by celestial motion behavior.
.- A Study on the Force Mechanism of a Many-objective Artificial Physics Optimization Algorithm Based on Clustering and Information Entropy.
.- Optimal regulation of green heating systems in parks considering economy and thermal comfort.
.- Improved Kepler Optimization Algorithm Based on Hybrid Strategies.
.- Application of Multi-Strategy Harris Hawks Optimization Algorithm in Path Planning.
.- Three-Dimensional Path Planning for Multiple UCAVs Based on the MP-GWO Algorithm.
.- MRLLM: Multimodal Knowledge and Feedback Based Refinement Assist for Robotic Arm Operations using Large Language Model Reasoning.
.- DBSCAN clustering and Angle-Correlation driven Bi-Population Constrained Multi-Objective Artificial Physical Optimization.
.- Intelligent decision-making technology based on brain-inspired spiking neural networks.
.- Quantum-hybrid Multi-objective Artificial Physics Optimization Algorithm.
.- An Angle-Penalty Distance and Polarity-Division Guided Algorithm for Many-Objective Electric Field Optimization.

.- Advances in Multi-Agent Systems and Visual Perception for Complex Environments.

.- AE-BiseNet: Anomaly-enhanced Bilateral Segmentation Network for Industrial Defect Detection.
.- Adaptive Flight Control of Unmanned Aerial Vehicle under Sensor Failure Mode.
.- Dynamic Diffusion-based Stochastic Trajectory Prediction with Time-frequency Analysis.
.- Torque Distribution Strategy Based On Multi-Mode Clutch Transmission.
.- A Multi-Ship Intelligent Cooperative Control Framework Based on Hierarchical Reward.
.- Attention-Enhanced Hybrid Graph Neural Network for 3D Localization of Rock Fracture Events.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.