Vor Ort
Merkzettel Warenkorb
Produktbild: Cognitive Computation and Systems
Band 2869 - 10%

Cognitive Computation and Systems 4th International Conference, ICCCS 2025, Chengdu, China, November 22–23, 2025, Revised Selected Papers, Part I

Aus der Reihe Communications in Computer and Information Science
10% sparen

114,99 € UVP 128,39 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.05.2026

Abbildungen

XII, 505 p. 198 illus., 187 illus. in color.

Herausgeber

Bin Xu + weitere

Verlag

Springer Singapore

Seitenzahl

505

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9589-77-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.05.2026

Abbildungen

XII, 505 p. 198 illus., 187 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

505

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

779 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9589-77-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Cognitive Computation and Systems

  • .- MWAA-Former: A Multi-Scale Window Agent Attention Network for Sparse Feature Recognition.



    .- VSFNet: A Multi-Scale Feature Enhancement Network Based on Spatial State Modeling and Frequency-Domain Filtering.



    .- Frequency-Domain Augmented Re-parameterized YOLO for Medical Object Detection.



    .- High-Resolution Class Activation Mapping for Weakly Supervised Object Localization.



    .- RDC-XLSTM: A smart contract vulnerability detection with retrieval-enhanced generation and contextual long memory.



    .- Co-Support Few-Shot Segmentation via Internal Complement and Intra Balance.



    .- A Handheld Multi-Line 3D Scanning Simulation Platform based on Optical-Inertial Signal Generation.



    .- Deep neural network based unsupervised artifact detection method on electroencephalography.



    .- EEG Lead Selection and Interpretable Deep Learning Model for Depression Diagnosis.



    .- CBFOD-YOLO: A Coal Mine Conveyor Belt Foreign Object Detection Model Based on an Improved YOLOv11 Architecture.



    .- Performance Analysis of Pancreas Segmentation from CT Images Using Deep Learning.



    .- NLW-YOLOv8n: a novel lightweight PCB small target defect detection algorithm.



    .- Research of Weld Seam Segmentation Method Based on Point Cloud Data.



    .- Gypsum Board Defect Detection Based on Lightweight Networks.



    .- Automatic Fabric Defect Detection System: Optimization of Lightweight Architecture with Cloud-Edge Computing Integration.



    .- MBCTN: A Multi-Band Convolutional Tensor Network for Speech Imagery EEG Decoding.



    .- Semantic-fused Diffusion Model for Thangka Image Super-Resolution Based on Constructed Dataset. 



    .- TCLo: Transformer optimized for capturing local features in point cloud semantic segmentation. 



    .- DC-Net：Robust Point Cloud Normal Estimation with Dynamic Convolution.



    .- Efficient Real-Time Traffic Sign Detection for Autonomous Driving in Adverse Weather Using Deep Learning Models. 



    .- Energy-Efficient Multi-Layer Adaptive Transmission with Entropy-Weighted TOPSIS for Diverse Contents. 



    .- Learning to Enhance Low-Light Images via Salient Feature Representation and Feature Integration. 



    .- Mold positioning and measurement path planning system based on binocular structured light. 



    .- Improvement of YOLO-v11 Small Target Detection Model Based on Multi-Scale Feature Enhancement and Cross-Scale Attention.



    .- Early Fault Monitoring of Engineering Equipment Based on Improved Transformer. 



    .- Model-independent Debiasing Algorithm Based on Probabilistic Correlation for Scene Graph Generation. 



    .- Toward Enhanced Neural Decoding: A Framework for Reconstructing EEG Features from fMRI BOLD Signals. 



    .- A Lightweight Semantic Segmentation Network for UAV Remote Sensing Images: HWD-Deeplab v3+.



    .- SLG-Flow: A Unified Framework from Semantic Labeling to Visual Generation.



    .- A CNN-based Deep Reinforcement Learning Approach for Imbalanced Walking Direction Recognition. 



    .- CNN-BiLSTM Hybrid Neural Network Deep Learning Model for Flight Pilot Stress Detection. 



    .- SemGNG-CPC: A Semantic Topology-Aware Self-Supervised Framework for EEG-Based Emotion Recognition. 



    .- Medical super-resolution reconstruction network for downstream tasks based on wavelet analysis. 



    .- An Object Detection and Force Estimation Method based on a Single-point Proximity-capacitance Sensor. 



    .- Application of large models in the diagnosis of lung diseases.



    .- Riesz Transform-Based Fine-Grained Edge Enhancement in Multi-Channel CNNs.



    .- Deep Learning-based Inkjet Code Recognition Technology for Cotton Bales.



    .- Research on Laser-Based Visual Navigation for AGVs with Multi-Sensor Fusion and Deep Learning.