Dynamic functional connectivity network (dFCN) derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used for computer-aided brain disease analysis and diagnosis. However, traditi...
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Timely identification of abnormal ships through trajectories make daily commercial trade transportation safer. However, current methods for identifying abnormal ships through vessel trajectories have issues such as hi...
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A formal formulation for reputation is presented as a time series of daily sentiment assessments. Projections of reputation time series are made using three methods that replicate the distributional and auto-correlati...
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In recent years, there has been a surge of interest in utilizing machine learning (ML) techniques to tackle the challenge of predicting farming suitability. this research presents a novel approach to predicting farmin...
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Crime pattern analysis and other forms of predictive policing are becoming indispensable tools for today's police forces. Hybrid Blockchain-Machine Learning Predictive Policing (HBL-PP) is a new method introduced ...
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Inclusion of Internet of vehicles (IoV) an emerging technology in smart city for vehicular communication is covering the Internet of things (IoT) technology into vehicular networks for benefiting from omnipresent Inte...
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Effective resource orchestration for network slicing is critical for optimizing the performance of diverse applications running on next generation communication networks. this paper presents a novel approach that leve...
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the proceedings contain 101 papers. the special focus in this conference is on computer Engineering and networks. the topics include: Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Acti...
ISBN:
(纸本)9789819992386
the proceedings contain 101 papers. the special focus in this conference is on computer Engineering and networks. the topics include: Two Stream Multi-Attention Graph Convolutional Network for Skeleton-Based Action Recognition;aesthetic Multi-attributes Captioning Network for Photos;improving Road Extraction in Hyperspectral Data with Deep Learning Models;human Related Information Extraction from Chinese Archive Images;multi-virtual View Scoring Network for 3D Hand Pose Estimation from a Single Depth Image;digital Archive Stamp Detection and Extraction;Underwater Image Enhancement Using Improved Shallow-UWnet;single Image Reflection Removal Using DeepLabv3+;Improved GR-Convnet for Antipodal Robotic Grasping;enhanced Object Detection of Abnormal Light Based on Multi-scale Retinex with Chromacity Preservation;an Indirect State-of-Health Estimation Method for Lithium-Ion Battery Based on Correlation Analysis and Long Short-Term Memory Network;a Quantum Behaved Particle Swarm Optimization with a Chaotic Operator;a Novel Small Object Detection Method Based on Improved Transformer Model;A Novel Full-Scale Skip Connections Approach Based on U-Net for COVID-19 Lesion Segmentation in CT Images;Personnel Intrusion Detection in Railway Perimeter with Improved YOLOv7;research on Watermark Embedding of Fax Channel Images Based on U-Net Network;an Enhanced Downsampling Transformer Network for Point Cloud Semantic Segmentation;Improved DGCNN Based on Transformer for Point Cloud Segmentation;symmetry Analysis of Face from a Video Image of 3D Point Cloud;a Contrastive Learning-Based Interpretable Prediction Model for Patients with Heart Failure;CS-Net: A Stain Style Transfer Network for Histology Images with CS-Gate Attention;a Dictionary-Based Concept Extraction Method for Chinese Course Knowledge;image Recoloring for Color Blindness Considering Naturalness and Harmony;Improving PSO-SVM for Fatigue Recognition.
the problem of constructing a deterministic model of a stochastic queuing network that describes the dynamics of changes in the average values of queue lengths is considered. Such specific features of the model are ta...
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In healthcare, accessing diverse and large datasets for machine learning poses challenges due to data privacy concerns. Federated learning (FL) addresses this by training models on decentralized data while preserving ...
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