Li / Liu | Intelligence Computation and Applications | Buch | 978-981-9230-63-1 | www.sack.de

Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Li / Liu

Intelligence Computation and Applications

16th International Symposium, ISICA 2025, Guangzhou, China, November 15–16, 2025, Revised Selected Papers, Part I
Erscheinungsjahr 2026
ISBN: 978-981-9230-63-1
Verlag: Springer

16th International Symposium, ISICA 2025, Guangzhou, China, November 15–16, 2025, Revised Selected Papers, Part I

Buch, Englisch, 382 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-981-9230-63-1
Verlag: Springer


This two-volume set, constitutes the revised selected papers of the 16th International Symposium on Intelligence Computation and Applications, ISICA 2025, held in Guangzhou, China, during November 15-16, 2025.

The 63 full papers included in these proceedings were carefully reviewed and selected from178 submissions. They were organized in the following topical sections: 

Part I : Frontiers of Evolutionary Intelligent Optimization Algorithms; Intelligent Systems and Detection Technology.
Part II : Exploration of Computer Vision; Machine Learning and Its Applications; AI Empowering Education and Design Innovation.

Li / Liu Intelligence Computation and Applications jetzt bestellen!

Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


.- Frontiers of Evolutionary Intelligent Optimization Algorithms.
.- Model construction of time decay function based on genetic  programming .
.- A Frequency Domain Search-based Multi-objective Evolutionary Algorithm for Solving Large-scale Multi-objective Optimization Problems.
.- Dual-Space Dynamic Feedback Mechanism for Multi- Task Evolutionary Algorithm.
.- An interval-parameter multi-objective evolutionary  algorithm with marginal probability dominance.
.- A multi-criteria hydropower station site selection model based on reinforcement learning enhanced particle swarm optimization.
.- A Dimensionality Reduction Algorithm Based on Population Decomposition and Statistical Analysis of Non-Redundant Objective Preferences.
.- Set Transformer Guided NSGA-III for Large-Scale Multi-Objective Optimization.
.- MOEA/D-TA: Subproblem-Aligned Transformer for Large-Scale Multi-objective Optimization.
.- A Framework for Large-Scale Multi-Objective Optimization Driven by VAE-Based Manifold Learning.
.- UMGS-MOEA: A Multi-objective Evolutionary Algorithm  Based on UMAP and Manifold-Guided Search.
.- A GEP-based Modeling Approach for Human Identification Using 3D Skeletal Data.
.- A Frequency Domain Search-based Multi-objective Evolutionary Algorithm for Solving Large-scale Multi-objective Optimization Problems.
.- Multi-Objective Evolutionary Algorithm with Dynamically Changing Objective Functions.
.- Research on Grade Recognition and Classification of Wild Peaches Based on ResNet and Transfer Learning.
.- Multi-Objective Evolutionary Algorithm with Dynamically Changing Objective Functions.
.- Evaluation of Internet Teaching Quality: Application of Evidence Theory and Neural Network Model.
.- UMGS-MOEA: A Multi-objective Evolutionary Algorithm  Based on UMAP and Manifold-Guided Search.
.- Interval Multi-Population Evolutionary Algorithm for Service Deployment and Task Offloading in Edge Environments.
.- An Expensive Interval Many-objective Optimization Algorithm Based on Indicators.
.- UMGS-MOEA: A Multi-objective Evolutionary Algorithm  Based on UMAP and Manifold-Guided Search.
.- Intelligent Systems and Detection Technology.
.- Iterative Disturbance Observer-based Data-Driven Adaptive Iterative Learning Control.
.- Research on Multi-Face Mask Recognition Based on MTCNN Algorithm And SVM.
.- Boosting the Adversarial Robustness for Object Detection via Adaptive Perturbation Control.
.- State-Based Hiding Privacy for Location-Based Services.
.- Adaptive Oversampling by Combining Sample Local Density with Position Information for Imbalanced Data Classification.
.- Multi-Modal Intelligent Algorithm for Identifying the Effectiveness of Computer Behaviors.
.- Research on a Real-Time Analysis Platform for Equipment Operational Status in Smart Manufacturing.
.- A Multimodal Data-Based Intelligent Diagnosis and Treatment System for Colorectal Cancer TNM Staging.
.- A Fall Detection Method Using Radar and Infrared  Heterogeneous Fusion.
.- Maintenance Strategy Recommendation for Wireless Sensor Networks.
.- Analysis of Spatial Misalignment and Power Transfer Efficiency in Magnetic-Resonant Wireless Power Transfer Systems with Parallel-Axis Coils.



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.