89 Result(s)
within
English
Computer Science
Computer Communication Networks
**ang-Hui **e
Conference Paper
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Chapter and Conference Paper
Cluster-Based Optimization Method for Delivery Networks
Traditional logistics scheduling, which heavily relies on experienced personnel, can be time-consuming and prone to oversights, issues that are further amplified with the integration of new distributors. Addre...
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Chapter and Conference Paper
An Exploratory Study on the Design of Human-Computer Interaction Interfaces for Augmented Reality Integrated Museum Exhibitions
This study explores the role of augmented reality (AR) technology in enhancing museum exhibition experiences, especially the design of AR human-computer interaction interfaces. The study collected the feedback...
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Chapter and Conference Paper
A Privacy-Preserving Searchable Encryption Scheme for Data Protection in Smart Grid
As smart grids continue to evolve at a rapid pace, huge amounts of power data have been collected by various devices in different locations. These enormous power data are of significant research and applicatio...
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Chapter and Conference Paper
Exploring Factors Influencing Community Consensus Building of Web3 Decentralized Apps
Web3 (third generation of the World Wide Web) applications, such as Decentralized Finance (DeFi), Non-fungible token (NFT), Metaverse, etc., have created a new type of social interaction and agglomerated the W...
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Chapter and Conference Paper
Detect Safety Net on the Construction Site Based on YOLO-v4
Aiming at the safety net, which is a key device in fall prevention mechanism on the construction site, this study uses YOLO-v4 to train and detect to confirm the proper installation of the device; adopts 2 dat...
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Chapter and Conference Paper
Compressed-Coding Particle Swarm Optimization for Large-Scale Feature Selection
Particle swarm optimization (PSO) is a popular method for feature selection. However, when dealing with large-scale features, PSO faces the challenges of poor search performance and long running time. In addit...
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Chapter and Conference Paper
Spatial-Temporal Graph Neural Network Framework with Multi-source Local and Global Information Fusion for Traffic Flow Forecasting
As the increasing population is causing a large amount of traffic congestion nowadays, accurate traffic flow forecasting (TFF) has become increasingly significant for smart cities. While some recurrent neural ...
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Chapter and Conference Paper
Building a “Corpus of 7 Types Emotion Co-occurrences Words” of Chinese Emotional Words with Big Data Corpus
Past studies used human rated as the way of establishing a corpus which costs a lot of time and money but contains insufficient words, also the Categorical Approach was seldom used for building corpus, which m...
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Chapter and Conference Paper
Multi-loop Adaptive Differential Evolution for Large-Scale Expensive Optimization
Data-driven evolutionary algorithms (DDEAs) have shown promising performance in solving small- and medium-scale expensive optimization problems (EOPs) with low and medium dimensions. However, the performance o...
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Chapter and Conference Paper
A Study of Teamwork’s Productivity and Search Behavior Using Talent Themes for Grou**
The purpose of this research was to find a grou** method that can instantly improve team productivity so that various organizations can use this grou** method to organize the team to achieve better perform...
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Chapter and Conference Paper
Using Self-developed Mobile APP and Arduino to Provide Integrated Multimedia for Lower Graders’ English Vocabulary Learning
This study investigated the effects of using self-developed mobile APP and Arduino in English vocabulary learning, to find out the impact on students’ vocabulary learning ability, to understand students’ perce...
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Chapter and Conference Paper
Data Augmentation for a Deep Learning Framework for Ventricular Septal Defect Ultrasound Image Classification
Congenital heart diseases (CHD) can be detected through ultrasound imaging. Although ultrasound can be used for immediate diagnosis, doctors require considerable time to read dynamic clips; typically, physicia...
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Chapter and Conference Paper
Efficient Exploration by Novelty-Pursuit
Efficient exploration is essential to reinforcement learning in tasks with huge state space and long planning horizon. Recent approaches to address this issue include the intrinsically motivated goal explorati...
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Chapter and Conference Paper
Knowledge Map** and Scientometric Overview on Global Blockchain Research
In the past few years, block-chain research literatures have increased rapidly, but there have been fewer attempts and efforts to map global research in block-chain related research. The main purpose of this s...
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Chapter and Conference Paper
Application of Growth Curve in Agricultural Scientific Research
This paper introduces the application of logistic curve in agricultural science, and gives a division method of parameter estimation of logistic curve. Because the logistic curve contains three parameters, it ...
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Chapter and Conference Paper
The Study of the Work Parameters of the Corn Harvester Cutter
In this paper, the analytical method of multivariate variance is applied to study the function of the various performance factors of the straight-edge cylindrical cutter. Research results indicate that the mai...
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Chapter and Conference Paper
Entropy-Assisted Emotion Recognition of Valence and Arousal Using XGBoost Classifier
Emotion recognition is an essential function to realize human-machine interaction devices. Physiological signals which can be collected easily and continuously by wearable sensors are good inputs for emotion a...
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Chapter and Conference Paper
The Influence of Vibration on Performance of Navigation Tasks
In this paper, we explore the efficiency of vibration feedback techniques in pedestrian navigation systems. For vibration feedback technology, many researchers have provided a variety of different modes of vib...
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Chapter and Conference Paper
Histopathological Image Recognition with Domain Knowledge Based Deep Features
Automatic recognition of histopathological image plays an important role in building computer-aid diagnosis system. Traditionally hand-craft features are widely used for representing histopathological images w...
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Chapter and Conference Paper
Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning
The interactions between proteins and RNA (RPIs) play a crucial role in most cellular processes such as RNA stability and translation. Although there have been many high-throughput experiments recently to det...
