Merkzettel Warenkorb
Produktbild: Advances in Swarm Intelligence
Band 14789

Advances in Swarm Intelligence 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23–26, 2024, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.08.2024

Herausgeber

Ying Tan + weitere

Verlag

Springer Singapore

Seitenzahl

452

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

715 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9771-83-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.08.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

452

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

715 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9771-83-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern
  • Produktbild: Advances in Swarm Intelligence

  • .- Route Planning Problem.

    .- Solving the Traveling Salesman Problem for Efficient Route Planning through Swarm Intelligence Based Optimization.

    .- An Improved Genetic Algorithm for Vehicle Routing Problem with Time Window Requirements.

    .- Automated Planning and Scheduling with Swarm Intelligence.

    .- Grouping and Angle Partitioning-Based Coverage Path Planning for Swarm Robots Using Only Local Communication.

    .- A Hyper-heuristic Algorithm Based on Q-learning for 3D Drone Trajectory Planning.

    .- Machine Learning.

    .- Robust Heterogeneous Federated Learning via Data-Free Knowledge Amalgamation.

    .- Efficient Multilevel Spatial Co-location Pattern Discovery Based on Density-wise Clustering and MC-Hash Structure.

    .- Multiple Machine Learning Methods with Correlation Analysis for Short-term River Water Quality Prediction.

    .- FGFL: Fine-Grained Federated Learning based on Neural Architecture Search for Heterogeneous Clients.

    .- Federated Neural Architecture Search with Hierarchical Progressive Acceleration for Medical Image Segmentation.

    .- IS-SQL: Knowledge-Enhanced In-Context Learning and Self Correction of Text-to-SQL.

    .- Research on the Operation Strategy of S Internet Hospital Based on Business Intelligence.

    .- Complex Network-based Decision-making Analysis of Strikes on Important Nodes of a Typical Kill Chain.

    .- Pixel Importance-based Transfer Adversarial Attack.

    .- Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States.

    .- Detection and Prediction.

    .- Lung Nodule Detection Based on Spike-driven Self-attention YOLO.

    .- Unsupervised Microservice Log Anomaly Detection Method Based on Graph Neural Network.

    .- Deep Learning-based Customer Lifetime Value Prediction in Imbalanced Data Scenarios: A Case Study.

    .- Improving the Accuracy of Predictive Models in Imbalanced Lung Cancer Data.

    .- Classification.

    .- Multimodal Imaging Classification Based on Mixture Model Networks.

    .- Confidence-guided online knowledge distillation for semi-supervised medical image classification.

    .- Research on classification method of construction laws and regulations data.

    .- Identity Authentication Methods Based on User Profiling.

    .- Automatic Hyperspectral Image Clustering using Qutrit Differential Evolution.

    .- Comparative Evaluation of Classification Techniques for Predicting Risk and Recurrence of Thyroid Disorders.

    .- Edge Computing.

    .- Hierarchical Diffusion Teaching-learning-based Optimizer with Variational Autoencoder for Mobile Edge Computing System Optimization.

    .- ESEC: A New Edge Server Selection Algorithm under Muiti-access Edge Computing.

    .- Edge Dynamic Service Offloading Based on Multi-Agent Deep Q Learning.

    .- Modeling and Optimization.

    .- New Design Algorithm: Interactive-Generative Product Design for Shape Generation and Optimization.

    .- Designing a Social Network Framework Utilizing New Swarm and P2P Technologies for Application in Office Automation.

    .- Research on the basic combat round model of over-the-horizon air combat.

    .- An Offline Modeling Approach to Air Combat Maneuvering Policy.

    .- Neural Network Algorithm for Solving Nonlinear Equation Systems.

    .- Heart Failure Mortality Prediction: A Comparative Study of Predictive Modeling Approaches.

    .- Analysis of Review.

    .- Convolutional Neural Networks in Medical Imaging: A Review.

    .- A review of the analysis and evaluation of air combat situation and decision-making methods.

    .- Analyzing the Online Reviews to Explore Recent Trends of the U.S. Automotive Industry by Latent Dirichlet Allocation Method.