Atjaunināt sīkdatņu piekrišanu

Advances in Brain Inspired Cognitive Systems: 14th International Conference, BICS 2024, Hefei, China, December 68, 2024, Proceedings, Part II [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 297 pages, height x width: 235x155 mm, 102 Illustrations, color; 10 Illustrations, black and white; XV, 297 p. 112 illus., 102 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 15498
  • Izdošanas datums: 11-Mar-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819628849
  • ISBN-13: 9789819628841
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 54,05 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 63,59 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Advances in Brain Inspired Cognitive Systems: 14th International Conference, BICS 2024, Hefei, China, December 68, 2024, Proceedings, Part IIPalielināt
  • Formāts: Paperback / softback, 297 pages, height x width: 235x155 mm, 102 Illustrations, color; 10 Illustrations, black and white; XV, 297 p. 112 illus., 102 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Artificial Intelligence 15498
  • Izdošanas datums: 11-Mar-2025
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 9819628849
  • ISBN-13: 9789819628841
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819628841.html
Keywords:
The two-volume set LNAI 15497 and LNAI 15498 constitutes the refereed proceedings of the 14th International Conference on Brain Inspired Cognitive Systems, BICS 2024, held in Hefei, China, during December 68, 2024. 





The 56 full papers presented in these two volumes were carefully reviewed and selected from 124 submissions.





These papers deal with various aspects of brain inspired cognitive systems, focusing on latest advancements in brain-inspired computing; artificial intelligence; and cognitive systems.
.- Multi-Modal Dynamic Information Selection Pyramid Network for
Alzheimers Disease Classification.



.- Text-Guided Vision Mamba for Alzheimers Disease Prediction using 18F-FDG
PET.



.- EEG-based Recognition of Knowledge Acquisition States in Second Language
Learning.



.- A study on the neural mechanism of the spatial position of speech in
different masking types affecting auditory attention processing.



.- DSCF-DE: A Query-based Object Detection Model via Dynamic Sampling and
Cascade Fusion.



.- MDFNet: Multi-Dimensional Fusion Attention for Enhanced Image Captioning.



.- Dynamic Points Location of Professional Model Pose Based on Improved
Network Stacking Model.



.- A Redundancy Free Facial Acne Detection Framework Based on Multi-view
Dermoscopy Images Stitching.



.- A New Device Placement Approach with Dual Graph Mamba Networks and
Proximal Policy Optimization.



.- Cross-Generational Contrastive Continual Learning for 3D point cloud
semantic segmentation.



.- TGAM-SR: A Sequential Recommendation Model for Long And Short-Term
Interests Based on TCN-GRU And Atten-tion Mechanism.



.- Investigating ChatGPTs Translation Hallucination from an
Embodied-Cognitive Translatology Perspective.



.- A Study on Chinese Acronym Prediction Based on Contextual Thematic
Consistency.



.- Learning Supportive Two-Stream Network for Audio-Visual Segmentation.



.- Multi-exposure Driven Stable Diffusion for Shadow Removal.



.- Human disease prediction based on symptoms using novel machine learning.



.- CAT-LCAN: A Multimodal Physiological Signal Fusion Framework for Emotion
Recognition.



.- A novel thermal imaging and machine learning based privacy preserving
framework for efficient space allocation, utilisation and management.



.- Training Feature-Awared GPU-Memory Allocation and Management for Deep
Neural Networks.



.- TR-LDA: An Improved Potential Topic Recognition Model.



.- Brain-inspired object domain adaptive segmentation.



.- Task adaptive feature distribution based network for few-shot fine-grained
target classification.



.- ST TransNeXt: A Novel Pig Behavior Recognition Model.



.- A Method for Predicting The RUL of HDDs Based on Bidirectional LSTM and
Transformer.



.- Spatio-temporal Graph Learning on Adaptive Mined Key Frames for
High-performance Multi-Object Tracking.



.- From image to the ground: Recover the ground location of vehicles from
traffic cameras using neural networks.



.- In-depth Evaluation and Analysis of Hyperspectral Unmixing Algorithms with
Cognitive Models.



.- Effective Gas Classification using Singular Spectrum Analysis and Random
Forest in Electronic Nose Applications.