Advances in Brain Inspired Cognitive Systems

Advances in Brain Inspired Cognitive Systems

14th International Conference, BICS 2024, Hefei, China, December 6-8, 2024, Proceedings, Part II

Jiang, Bo; Li, Chenglong; Ren, Jinchang; Hussain, Amir; Gao, Zhi; Zheng, Aihua; Yang, Erfu; Mahmud, Mufti; Wang, Shuqiang; Zhao, Zhicheng

Springer Nature Switzerland AG

03/2025

297

Mole

9789819628841

15 a 20 dias

Descrição não disponível.
.- Multi-Modal Dynamic Information Selection Pyramid Network for Alzheimer's Disease Classification.



.- Text-Guided Vision Mamba for Alzheimer's 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 ChatGPT's 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.
Machine Learning;Deep Learning;Transformer;Attention Mechanism;Feature Fusion;Neural Networks;Object Detection;Emotion Recognition;Cross-modal Learning;Multi-modal Fusion;Adversarial Network;Spiking Neural Networks;Few-shot Learning;Domain Adaptation;Brain-inspired Robotics;Semantic Segmentation;Disease Prediction;3D Point Clouds;LSTM (Long Short-Term Memory) ;Natural Language Processing (NLP)