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ISSN: 2096-5796
CN: 10-1561/TP
e-ISSN: 2666-1209

Personalized assessment and training of neurosurgical skills in virtual reality: An interpretable machine learning approach

Virtual reality technology has been widely used in surgical simulators, providing new opportunities for assessing and training surgical skills. Machine learning algorithms are commonly used to analyze...

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Effective data transmission through energy-efficient clustering and Fuzzy-Based IDS routing approach in WSNs

Wireless sensor networks (WSN) gather information and sense information samples in a certain region and communicate these readings to a base station (BS). Energy efficiency is considered a major design...

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Selective sampling with Gromov–Hausdorff metric: Efficient dense-shape correspondence via Confidence-based sample consensus

Functional mapping, despite its proven efficiency, suffers from a “chicken or egg” sce- nario, in that, poor spatial features lead to inadequate spectral alignment and vice versa during training, often...

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Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study

A medical content-based image retrieval (CBIR) system is designed to retrieve images from large imaging repositories that are visually similar to a user′s query image. CBIR is widely used in evidence-...

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Intelligent 3D garment system of the human body based on deep spiking neural network

Intelligent garments, a burgeoning class of wearable devices, have extensive applications in domains such as sports training and medical rehabilitation. Nonetheless, existing research in the smart wearables...

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Audio2AB: Audio-driven collaborative generation of virtual character animation

Considerable research has been conducted in the areas of audio-driven virtual character gestures and facial animation with some degree of success. However, few methods exist for generating full-body...

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Image defocus deblurring method based on gradient difference of boundary neighborhood

For static scenes with multiple depth layers, the existing defocused image deblurring methods have the problems of edge ringing artifacts or insufficient deblurring degree due to inaccurate estimation...

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PartLabeling: A Label Management Framework in 3D Space

In this work, we focus on the label layout problem: specifying the positions of overlaid virtual annotations in Virtual/Augmented Reality scenarios. Designing a layout of labels that does not violate...

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Opening Design using Bayesian Optimization

Opening design is a major consideration in architectural buildings during early structural layout specification. Decisions regarding the geometric characteristics of windows, skylights, hatches, etc.,...

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HYDRO: Optimizing interactive hybrid images for digital signage content

In modern society, digital signage installed in many large-scale facilities supports our daily life. However, with a limited screen size, it is difficult to provide different types of information for...

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RealFuVSR: Feature Enhanced Real-World Video Super-Resolution

The recurrent recovery is one of the common methods for video super-resolution, which models the correlation between frames via hidden states. However, when we apply the structure to real-world scenarios,...

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ILIDViz: An Incremental Learning-Based Visual Analysis System for Network Anomaly Detection

With the development of information technology, network traffic logs mixed with various kinds of cyber-attacks have grown explosively. Traditional intrusion detection systems (IDS) have limited ability...

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Adequate alignment and interaction for cross-modal retrieval

Cross-modal retrieval has attracted widespread attention in many cross-media similarity search applications, especially image-text retrieval in the fields of computer vision and natural language processing....

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Implementation of natural hand gestures in holograms for 3D object manipulation

Holograms provide a characteristic manner to display and convey information, and have been improved to provide better user interactions Holographic interactions are important as they improve user interactions...

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Novel learning framework for optimal multi-object video trajectory tracking

With the rapid development of Web3D, virtual reality, and digital twins, virtual trajectories and decision data considerably rely on the analysis and understanding of real video data, particularly in...

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Deep-reinforcement-learning-based robot motion strategies for grabbing objects from human hands

Robot grasping encompasses a wide range of research areas; however, most studies have been focused on the grasping of only stationary objects in a scene; only a few studies on how to grasp objects from...

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Survey of lightweighting methods of huge 3D models for online Web3D visualization

With the rapid development of Web3D technologies, the online Web3D visualization, particularly for complex models or scenes, has been in a great demand. Owing to the major conflict between the Web3D...

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Eye-shaped keyboard for dual-hand text entry in virtual reality

We propose an eye-shaped keyboard for high-speed text entry in virtual reality (VR), having the shape of dual eyes with characters arranged along the curved eyelids, which ensures low density and short...

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A survey of real-time rendering on Web3D application

In recent years, with the rapid development of mobile Internet and Web3D technologies, a large number of web-based online 3D visualization applications have emerged. Web3D applications, including Web3D...

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Human-pose estimation based on weak supervision

In computer vision, simultaneously estimating human pose, shape, and clothing is a practical issue in real life, but remains a challenging task owing to the variety of clothing, complexity of deformation,...

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Validity of non-local mean filter and novel denoising method

Image denoising is an important topic in the digital image processing field. This study theoretically investigates the validity of the classical nonlocal mean filter (NLM) for removing Gaussian noise...

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Modeling heterogeneous behaviors with different strategies in a terrorist attack

Existing simulations of terrorist attacks do not consider individual variations. To overcome this limitation, we propose a framework to model heterogeneous behavior of individuals during terrorist attacks....

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Design of a new kind of chemical experiment container with virtual reality fusion

At present, the teaching of experiments in primary and secondary schools is affected by cost and security factors. Existing research on virtual experiment platforms has alleviated these problems. However,...

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Review of intelligent diagnosis methods for imaging gland cancer based on machine learning

Gland cancer is a high-incidence disease that endangers human health, and its early detection and treatment require efficient, accurate, and objective intelligent diagnosis methods. In recent years,...

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Adaptive navigation assistance based on eye movement features in virtual reality

Navigation assistance is essential for users when roaming virtual reality scenes; however, the traditional navigation method requires users to manually request a map for viewing, which leads to low...

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