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  1. No Access

    Chapter and Conference Paper

    Investigating the Mental Workload of Experiencing Virtual Reality on People with Mild Cognitive Impairment

    As the proportion of the aging population increases year by year, Taiwan is about to become a super-aging society. Among multiple problems faced by the elderly, dementia is an important but easy-to-be-neglecte...

    Pei-Fen Wu, Shao-Wei Yen, Kuang-Yi Fan in Human Aspects of IT for the Aged Population (2023)

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    Chapter and Conference Paper

    A Robust Two Factor Authentication Scheme with Fine Grained Biometrics Verification

    The traditional account and password verification method has not only been inconducive to user experience but also security threats. Although biometrics improves the user experience, biometric data can be stol...

    Fang-Ting Wu, Shao-Wei Tung, Jheng-Jia Huang in New Trends in Computer Technologies and Ap… (2022)

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    Chapter and Conference Paper

    Modeling Correlated Wind Speeds by Trigonometric Archimedean Copulas

    In this paper,  the statistical features of correlated wind speeds at  sites are characterized by marginal distributions and Archimedean copulas. Firstly, the generalized lambda distribution (GLD), kappa dist...

    Qing **ao, Shao-Wu Zhou in Proceedings of the 11th International Conf… (2020)

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    Chapter and Conference Paper

    A New Design of Online/Offline Signatures Based on Lattice

    With the rapid development of mobile internet, a large number of lightweight devices are widely used. Therefore, lightweight cryptographic primitives are urgently demanded. Among these primitives, online/offli...

    Mingmei Zheng, Shao-Jun Yang, Wei Wu in Information Security Practice and Experien… (2018)

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    Chapter and Conference Paper

    Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning

    Knowing the transcription factor binding sites (TFBSs) is essential for modeling the underlying binding mechanisms and follow-up cellular functions. Convolutional neural networks (CNNs) have outperformed metho...

    Fang **g, Shao-Wu Zhang, Zhen Cao in Bioinformatics Research and Applications (2018)

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    Chapter and Conference Paper

    An Optimized Artificial Bee Colony Based Parameter Training Method for Belief Rule-Base

    In order to solve the problems of poor portability, complex implementation, and low efficiency in the traditional parameter training of the Belief rule-base, an artificial bee colony algorithm combined with Ga...

    Man-Na Su, Zhi-Jian Fang, Shao-Zhen Ye, Ying-Jie Wu, Yang-Geng Fu in Big Data (2018)

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    Chapter and Conference Paper

    A Fast Method to Segment the Liver According to Couinaud’s Classification

    For establishing a plan of Living Donor Liver Transplantation (LDLT), it is very important to estimate the volume of each liver segment. Usually Couinaud’s classification is used to segment a liver, which is b...

    Shao-hui Huang, Bo-liang Wang, Ming Cheng, Wei-li Wu in Medical Imaging and Informatics (2008)

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    Chapter and Conference Paper

    Prediction of Protein Homo-oligomer Types with a Novel Approach of Glide Zoom Window Feature Extraction

    A novel approach of glide zoom window feature extraction based on protein sequence was proposed for predicting protein homo-oligomers. Based on the concept of glide zoom window, three feature vectors of amino ...

    Qi-Peng Li, Shao-Wu Zhang, Quan Pan in Advanced Intelligent Computing Theories an… (2008)

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    Chapter and Conference Paper

    Predicting Protein Quaternary Structure with Multi-scale Energy of Amino Acid Factor Solution Scores and Their Combination

    In the protein universe, many proteins are composed of two or more polypeptide chains, generally referred to as subunits, which associate through noncovalent interactions and, occasionally, disulfide bonds to ...

    Shao-Wu Zhang, Wei Chen, Chun-Hui Zhao, Yong-Mei Cheng, Quan Pan in Medical Biometrics (2007)

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    Chapter and Conference Paper

    Combined Literature Mining and Gene Expression Analysis for Modeling Neuro-endocrine-immune Interactions

    Here we develop a new approach of combined literature mining and gene expression analysis (CLMGE) to model the complex neuro-endocrine-immune (NEI) interactions. By using NEI related PubMed abstracts and the H...

    Lijiang Wu, Shao Li in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    Applying Pattern Mining to Web Information Extraction

    Information extraction (IE) from semi-structured Web documents is a critical issue for information integration systems on the Internet. Previous work in wrapper induction aim to solve this problem by applying mac...

    Chia-Hui Chang, Shao-Chen Lui, Yen-Chin Wu in Advances in Knowledge Discovery and Data M… (2001)