170 Result(s)
within
Chapter
Ke** Zhang
Artificial Intelligence
Computer Communication Networks
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
Chair Design of Waiting Space in Maternity Department Based on QFD-Kano and FBS
In order to design the seats in the waiting space of the obstetrics and gynecology department of the hospital, reduce the anxiety of pregnant women waiting for the inspection process, objectively and rationall...
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Chapter and Conference Paper
A Comparative Study on Map** Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology
Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the user experience of its users. This paper is based on the text...
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Chapter and Conference Paper
Research on Immersive Scene Modeling Language Design of Virtual Reality Animation Based on Affordance Design
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Chapter and Conference Paper
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach
Fish is approximately 40% edible fillet. The remaining 60% can be processed into low-value fertilizer or high-value pharmaceutical-grade omega-3 concentrates. High-value manufacturing options depend on the co...
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Chapter and Conference Paper
Effects of Virtual Reality Technology in Disaster News Coverage Based on MAIN Model
Using data of a between-group experiment (N = 40), this study examines the effects of virtual reality (VR) disaster news by comparing it with that of non-VR (traditional text news) disaster news on audiences from...
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Chapter and Conference Paper
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers
Explainable artificial intelligence (XAI) is a recent research focus, aiming to gain trust in machine learning models with clear insights into how the models make certain predictions. Due to its ability to evo...
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Chapter and Conference Paper
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification
Maximizing the classification performance and minimizing the feature subset size are two key objectives in multi-objective feature selection. Most existing works treat these two objectives equally. However, fr...
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Chapter and Conference Paper
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming
The high variations across images make image classification a challenging task, where the limited number of training instances further increases the difficulty of achieving good generalization performance. App...
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Chapter and Conference Paper
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search
Convolutional neural networks (CNNs) are a very prevalent and powerful deep learning paradigm. In recent years, many neural architecture search (NAS) methods have been developed to automate the design process ...
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Chapter and Conference Paper
Fixed-Price Diffusion Mechanism Design
We consider a fixed-price mechanism design setting where a seller sells one item via a social network. Each buyer in the network has a valuation of the item independently derived from a given continuous distri...
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Chapter and Conference Paper
Pulmonary Nodule Classification of CT Images with Attribute Self-guided Graph Convolutional V-Shape Networks
Accurate identification and early diagnosis of malignant pulmonary nodules are critical to improving the survival rate of lung cancer patients. Recently, deep learning methods have been proved to be successful...
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Chapter and Conference Paper
Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity
Monocular visual Simultaneous Localisation and Map** algorithms estimate map points and frame poses simultaneously based on video data. The estimated map point locations do not contain any structural informa...
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Chapter and Conference Paper
Element Re-identification in Crowdtesting
Software usually provides different GUI layouts for different devices for a better user experience. This increases the workload of testing, so crowdsourced testing is needed to reduce costs. The crowdsourced t...
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Chapter and Conference Paper
HaptMR: Smart Haptic Feedback for Mixed Reality Based on Computer Vision Semantic
This paper focuses on tactile feedback based on semantic analysis using deep learning algorithms on the mobile Mixed Reality (MR) device, called HaptMR. This way, we improve MR’s immersive experience and reach...
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Chapter and Conference Paper
A Customized VR Rendering with Neural-Network Generated Frames for Reducing VR Dizziness
This research is to develop a NN system that generates smooth frames for VR experiences, in order to reduce the hardware requirement for VR therapy. VR is introduced as a therapy to many symptoms, such as Acro...
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Chapter and Conference Paper
Generation of Environment-Irrelevant Adversarial Digital Camouflage Patterns
Digital camouflage is the most common and effective means to combat military reconnaissance. Traditional digital camouflage generation methods must regenerate camouflage images according to the current environ...
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Chapter and Conference Paper
Lidar-Only Localization with 3D Pose-Feature Map
Real-time and accuracy are the two most important indicators for unmanned vehicle localization. In this paper, we propose a novel map representation and its corresponding Lidar-only localization framework. In ...
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Chapter and Conference Paper
VAN: Voting and Attention Based Network for Unsupervised Medical Image Registration
In this paper, a novel unsupervised network for medical image registration called VAN (Voting and Attention based Network) is proposed, in which the final deformation field is determined by the voting process ...
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Chapter and Conference Paper
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification
Deep convolutional neural networks (DCNNs) have achieved promising performance in different computer vision tasks in recent years. Conventionally, deep learning experts are needed to design convolutional neura...
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Chapter and Conference Paper
Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism
Micro-expression recognition is a video sentiment classification task with extremely small sample size. The transience and spatial locality of micro-expressions bring difficulties to constructing large micro-...
