Advances in Brain Inspired Cognitive Systems: 13th International Conference, BICS 2023, Kuala Lumpur, Malaysia, August 56, 2023, Proceedings 2024 ed. [Minkštas viršelis]

Bio-inspired systems and Neural Computation.- Vision-Based Deep
Q-Learning on Simple Control Problems: Stabilization via Neurogenesis
Regularization.- Knowledge Representation for Conceptual, Motivational, and
Affective Processes in Natural Language Communication.- GSA-UBS: A Novel
Medical Hyperspectral Band Selection based on Gravitational Search
Algorithm.- Enhancing generalizability of deep learning polyp segmentation
using online spatial interpolation and hue transformation.- MLM-LSTM:
Multi-layer Memory Learning Framework based on LSTM for Hyperspectral Change
Detection.- A hierarchical geometry-to-semantic fusion GNN framework for
earth surface anomalies detection.- Zero-shot incremental learning algorithm
based on bi-alignment mechanism.- Cross-Modal Transformer GAN: A Brain
Structure-Function Deep Fusing Framework for Alzheimers Disease.- Image
Recognition, Detection and Classification Evaluation of post-hoc
interpretability methods in breast cancer histopathological image
classification.- Red Blood Cell Detection Using Improved Mask R-CNN.-
Underwater Object Detection for Smooth and Autonomous Operations of Naval
Missions: A Pilot Dataset.- RSF-SSD: An Improved SSD Algorithm Based on
Multi-level Feature Enhancement.- GaitMG: A Multi-Grained Feature Aggregate
Network for Gait Recognitio.- Saliency Detection on Graph Manifold Ranking
via Multi-scale Segmentation.- Research on improved algorithm of significance
object detection based on ATSA model.- UAV Cross-modal Image Registration:
Large-scale Dataset and Transformer-based Approach.- Vision and Object
Tracking.- How Challenging is a Challenge for SLAM? An Answer from
Quantitative Visual Evaluation.- Generalized W-Net: Arbitrary-style Chinese
Character Synthesization.- Blind Deblurring of QR Codes with Local Extremum
Intensity Prior.- Image Enhancement for UAV Visual SLAM Applications:
Analysis and Evaluation.- Segmentation Framework for Heat Loss Identification
in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey
Companies.- Mixed-Precision Collaborative Quantization for Fast Object
Tracking.- Pre-Diagnosis for Autism Spectrum Disorder Using Eye-Tracking and
Machine Learning Techniques.- HRMOT: Two-step association based Multi-object
Tracking in Satellite Videos Enhanced by High-Resolution Feature Fusion.-
Data Analysis and Machine Learning Application of manifold recognition target
identification method in seismic exploration.- Effects of PCA-Enabled Machine
Learning Classification of Stress and  Resting State EEGs.- Fatigue Detection
Algorithm Based On Discrete Wavelet Transform of EEG Signals.- Visual
Sentiment Analysis with a VR Sentiment Dataset on Omni-directional Images.-
Generating Type-related Instances and Metric Learning to Overcoming Language
Priors in VQA Fusing Multi-scale Attention and Transformer for Detection and
Localization of Image Splicing Forgery.- SAR Incremental Learning via
Generative Adversarial Network and Experience Replay.- FaceReenactment Based
on Motion Field Representation.- LWGSS: Light-Weight Green Spill Suppression
for Green Screen Matting.- Visual-Textual Attention for Tree-Based
Handwritten Mathematical Expression Recognition.- WildTechAlert: Deep
learning models for real-time detection of elephant presence using
bioacoustics in an early warning system to support human-elephant coexistence.