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A systematic review of graph-based explorations of PPI networks: methods, resources, and best practices
This systematic review aims to provide a comprehensive overview of graph-based methodologies utilized in the analysis of protein–protein interaction...
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Bio-inspired feature enhancement network for edge detection
As the basis of mid-level and high-level vision tasks, edge detection has great significance in the field of computer vision. Edge detection methods...
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ChatLsc: Agents for Live Streaming Commerce
Live-streaming commerce refers to a form of e-commerce that uses live streaming as a channel to achieve marketing objectives, a product of the...
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Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process
Modelling that exploits visual elements and information visualisation are important areas that have contributed immensely to understanding and the...
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NDAM-YOLOseg: a real-time instance segmentation model based on multi-head attention mechanism
The primary objective of deep learning-based instance segmentation is to achieve accurate segmentation of individual objects in input images or...
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CDBIFusion: A Cross-Domain Bidirectional Interaction Fusion Network for PET and MRI Images
The existing methodologies for image fusion in deep learning predominantly focus on convolutional neural networks (CNN). However, recent...
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Exploring the Role of Feedback Inhibition for the Robustness Against Corruptions on Event-Based Data
In event-based vision, visual information is encoded by sequential events in space and time, similar to the human visual system, where the retina...
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PowerHierarchy: visualization approach of hierarchical data via power diagram
Voronoi treemaps are widely used for hierarchical data visualization. Existing methods calculate the visualization layouts of hierarchical data by...
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MicroRNA-gene regulatory network of TLR signaling in neuroinflammation-induced Parkinson’s disease: a bioinformatics approach
Parkinson’s disease (PD) is the second-most common neurodegenerative disease, affecting 10 million people worldwide. Neuroinflammation is one of the...
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CNN-RDM: a new image processing model for improving the structure of deep learning based on representational dissimilarity matrix
Convolutional neural networks (CNNs) are widely used to categorize images. Successful training of a CNN requires rapid convergence of its weights,...
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Research on Computational Simulation of Advertising Posters Visual Cognition
Vision, as the main channel for humans to obtain external information, has always been a hot area of research. Especially under the current heat of...
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Symbols in the Brain
This chapter reviews what is known about how meaning is represented in the brain, and how both written symbols and non-linguistic symbols are...
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Introduction
The primary aim of this book is to pursue knowledge representation for vision. In a world in which technology generates immense amounts of data from...
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Enhancing teaching and learning for pupils with dyslexia: A comprehensive review of technological and non-technological interventions
Dyslexia is the most prevalent disorder in the world that causes difficulties with reading, writing, and spelling. Pupils with dyslexia show trouble...
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InSocialNet: Interactive visual analytics for role—event videos
Role–event videos are rich in information but challenging to be understood at the story level. The social roles and behavior patterns of characters...
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Design of a Navigation System for the Blind/Visually Impaired
Since individuals with needs in the general public increased, the work introduced is a navigation system that will give a solid and durable obstacle...
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A Novel Facial Expression Recognition (FER) Model Using Multi-scale Attention Network
Facial Expression Recognition (FER) faces significant challenges, primarily due to significant variations within classes and subtle visual...
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The Study of Human Action Recognition in Videos with Long Short-Term Memory Model
Human Action Recognition (HAR) requires tracking diverse fields of human activities in healthcare, education, entertainment, visual monitoring, video...
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Review of Neural Interfaces: Means for Establishing Brain–Machine Communication
Neurointerface or Brain–Machine Interface is a system of devices that utilizes the electrical nature of neural signals to establish communication...
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Didactical Design Goes Rogue? Children’s Playful Explorations While Engaged in Scaffolded Coding Activities Supported by Robots
Current society is characterized by rapid development and change, with technology being at the forefront in sha** the future. To accommodate this,...