Bin Yu

ORCID: 0000-0001-7970-696X
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About
Contact & Profiles
Research Areas
  • Customer Service Quality and Loyalty
  • Human Pose and Action Recognition
  • Hand Gesture Recognition Systems
  • Cutaneous Melanoma Detection and Management
  • Technology Adoption and User Behaviour
  • Gait Recognition and Analysis
  • Skin Protection and Aging
  • Advanced Wireless Network Optimization
  • Wireless Networks and Protocols
  • Consumer Retail Behavior Studies
  • melanin and skin pigmentation
  • International Business and FDI
  • Nonmelanoma Skin Cancer Studies
  • Global Trade and Competitiveness
  • AI in cancer detection
  • Mobile Ad Hoc Networks
  • Digital Marketing and Social Media

Xinjiang University
2021-2022

Guizhou Normal University
2014-2020

Xiamen University
2008-2020

Nankai University
2014-2015

Xiamen University of Technology
2014

Summary Video‐based hand gesture recognition plays an important role in human‐computer interaction (HCI). Recent advanced methods usually add 3D convolutional neural networks to capture the information from both spatial and temporal dimensions. However, these suffer issue of requiring large‐scale training data high computational complexity. To address this issue, we proposed attentive feature fusion framework for efficient hand‐gesture recognition. In our model, utilize a shallow two‐stream...

10.1002/cpe.5910 article EN Concurrency and Computation Practice and Experience 2020-06-30

The global online shopping market has exhibited consistent growth, exceeding an annual average growth rate of 10% from 2006 to 2010; however, the in Taiwan demonstrated astounding rate, surpassing 35% during same period. In current competitive and rapidly expanding environment, website providers must establish effective methods for measuring improving service quality increase customer satisfaction levels. this study, four dimensions e-core scale (E-S-QUAL; efficiency, system availability,...

10.4018/ijwsr.2014070105 article EN International Journal of Web Services Research 2014-07-01

In this paper, we propose an anycast mechanism which can adaptively choose the best next-hop to forward packets during announcement traffic indication map (ATIM) window of multi-channel medium access control (MMAC) protocol. order improve performance networks by reducing transmission retries and packet drop probabilities, also a multipath extension AODV routing protocol provide adaptive MMAC with multiple links. Simulation results show that proposed scheme provides better performance, both...

10.1109/iwasid.2008.4688382 article EN 2008-01-01

Skin is the first line of defense human body. Because skin exposed to outside and suffersvarious aggressions , cancer most common cancer. Accurate lesions image segmentation essential for disease diagnosis treatment planning. In order toimprove results recently proposed comprehensive attention convolutional neural network(CA-Net) segmentation, this work, we propose a modified medical network—modified network (mCA-Net) further improve performance. particular, create new multi-scale channel...

10.1080/21681163.2021.1978867 article EN Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization 2021-09-28

In such competitive industry environment, if the companies will obtain continuous profits, they must surpass their competitors and enhance enterprise competitiveness in order to win further customer orders. As understand market conditions, Simultaneous Importance-Performance Analysis (SIPA) is able provide simultaneous analysis of three fundamental concepts – importance character, performance competitors. This study based on electronic materials manufacturing Taiwan. Fourteen items from...

10.4028/www.scientific.net/amr.945-949.3050 article EN Advanced materials research 2014-06-01

Skin is the first line of defence human body. Accurate skin lesions image segmentation essential for disease diagnosis and treatment planning. In this work, we create a new multi-scale channel attention module – MS-CA, which can display more accurate relevant feature channels on multiple scales. And network model attention(MS-CA) proposed. The embeds MS-CA into two different types benchmark networks, modifies models to obtain an suitable diseases. Specifically, by extending encoder decoder...

10.1080/21681163.2022.2111717 article EN Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization 2022-08-19
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