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  1. Book ; Conference proceedings ; Online: 2012 6th International Conference on New Trends in Information Science and Service Science and Data Mining (ISSDM)

    Shen, Chien-wen

    23 - 25 Oct. 2012, Taipei, Taiwan ; [joint conference of 6th International Conference on New Trends in Information Science and Service Science (NISS), 4th International Conference on Data Mining and Intelligent Information Technology Applications (ICMIA) and 17th North-East Asia Symposium on Nano, Information Technology and Reliability (NASNIT)]

    2012  

    Title variant Proceedings // ISSDM 2012, 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT)
    Institution Institute of Electrical and Electronics Engineers
    Institute of Electrical and Electronics Engineers / Korea Council
    Institute of Electrical and Electronics Engineers / Taipei Section
    Event/congress ICMIA (4, 2012.10.23-25, Taipei) ; ISSDM (6, 2012.10.23-25, Taipei) ; International Conference on Data Mining and Intelligent Information Technology Applications (4, 2012.10.23-25, Taipei) ; International Conference on New Trends in Information Science and Service Science (6, 2012.10.23-25, Taipei) ; International Conference on New Trends in Information Science, Service Science and Data Mining (6, 2012.10.23-25, Taipei) ; NASNIT (17, 2012.10.23-25, Taipei) ; NISS (6, 2012.10.23-25, Taipei) ; North-East Asia Symposium on Nano, Information Technology and Reliability (17, 2012.10.23-25, Taipei)
    Author's details IEEE; IEEE Taipei Section; IEEE Korea Council. Ed.: Chien-wen Shen
    Language English
    Size Online-Ressource, Ill., graph. Darst.
    Publisher IEEE
    Publishing place Piscataway, NJ
    Document type Book ; Conference proceedings ; Online
    Note Literaturangaben
    ISBN 9781467308762 ; 9788894364193 ; 9788894364230 ; 1467308765 ; 8894364194 ; 8894364232
    Database Former special subject collection: coastal and deep sea fishing

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  2. Book ; Conference proceedings: 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (ISSDM 2012)

    Shen, Chien-wen

    Taipei, Taiwan, 23 - 25 October 2012 ; [joint conference of 6th International Conference on New Trends in Information Science and Service Science (NISS), 4th International Conference on Data Mining and Intelligent Information Technology Applications (ICMIA) and 17th North-East Asia Symposium on Nano, Information Technology and Reliability (NASNIT)]

    2012  

    Title variant Proceedings // ISSDM 2012, 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT)
    Institution Institute of Electrical and Electronics Engineers
    Institute of Electrical and Electronics Engineers / Korea Council
    Institute of Electrical and Electronics Engineers / Taipei Section
    Event/congress ICMIA (4, 2012.10.23-25, Taipei) ; ISSDM (6, 2012.10.23-25, Taipei) ; International Conference on Data Mining and Intelligent Information Technology Applications (4, 2012.10.23-25, Taipei) ; International Conference on New Trends in Information Science and Service Science (6, 2012.10.23-25, Taipei) ; International Conference on New Trends in Information Science, Service Science and Data Mining (6, 2012.10.23-25, Taipei) ; NASNIT (17, 2012.10.23-25, Taipei) ; NISS (6, 2012.10.23-25, Taipei) ; North-East Asia Symposium on Nano, Information Technology and Reliability (17, 2012.10.23-25, Taipei)
    Author's details [IEEE; IEEE Taipei Section; IEEE Korea Council. Ed.: Chien-wen Shen ...]
    Language English
    Size 829 S., Ill., graph. Darst.
    Publisher IEEE
    Publishing place Piscataway, NJ
    Document type Book ; Conference proceedings
    Note Gaps in pagination due to withheld papers. - Literaturangaben
    ISBN 9781467308762 ; 9788894364193 ; 9788894364209 ; 9788894364230 ; 1467308765 ; 8894364194 ; 8894364208 ; 8894364232
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  3. Article: Transfer Learning-Based Multi-Scale Denoising Convolutional Neural Network for Prostate Cancer Detection.

    Chui, Kwok Tai / Gupta, Brij B / Chi, Hao Ran / Arya, Varsha / Alhalabi, Wadee / Ruiz, Miguel Torres / Shen, Chien-Wen

    Cancers

    2022  Volume 14, Issue 15

    Abstract: Background: Prostate cancer is the 4th most common type of cancer. To reduce the workload of medical personnel in the medical diagnosis of prostate cancer and increase the diagnostic accuracy in noisy images, a deep learning model is desired for ... ...

    Abstract Background: Prostate cancer is the 4th most common type of cancer. To reduce the workload of medical personnel in the medical diagnosis of prostate cancer and increase the diagnostic accuracy in noisy images, a deep learning model is desired for prostate cancer detection.
    Methods: A multi-scale denoising convolutional neural network (MSDCNN) model was designed for prostate cancer detection (PCD) that is capable of noise suppression in images. The model was further optimized by transfer learning, which contributes domain knowledge from the same domain (prostate cancer data) but heterogeneous datasets. Particularly, Gaussian noise was introduced in the source datasets before knowledge transfer to the target dataset.
    Results: Four benchmark datasets were chosen as representative prostate cancer datasets. Ablation study and performance comparison between the proposed work and existing works were performed. Our model improved the accuracy by more than 10% compared with the existing works. Ablation studies also showed average improvements in accuracy using denoising, multi-scale scheme, and transfer learning, by 2.80%, 3.30%, and 3.13%, respectively.
    Conclusions: The performance evaluation and comparison of the proposed model confirm the importance and benefits of image noise suppression and transfer of knowledge from heterogeneous datasets of the same domain.
    Language English
    Publishing date 2022-07-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14153687
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Improving Efficiency Assessment of Psychiatric Halfway Houses: A Context-Dependent Data Envelopment Analysis Approach.

    Shen, Chien-Wen / Hsu, Chin-Hsing / Lung, For-Wey / Ly, Pham Thi Minh

    Healthcare (Basel, Switzerland)

    2020  Volume 8, Issue 3

    Abstract: This study proposes the approach of context-dependent data envelopment analysis (DEA) to measure operating performance in halfway houses to enable suitable adjustments at the current economic scale. The proposed approach can be used to discriminate the ... ...

    Abstract This study proposes the approach of context-dependent data envelopment analysis (DEA) to measure operating performance in halfway houses to enable suitable adjustments at the current economic scale. The proposed approach can be used to discriminate the performance of efficient halfway houses and provide more accurate DEA results related to the performance of all halfway houses in a region or a country. The relative attractiveness and progress were also evaluated, and individual halfway houses' competitive advantage and potential competitors could be determined. A case study of 38 halfway houses in Taiwan was investigated by our proposed approach. Findings suggest that fifteen halfway houses belong to the medium level, which can be classified into a quadrant by examining both their attractiveness score and progress score. The results can be used to allocate community resources to improve the operational directions and develop incentives for halfway houses with attractive and progressive values, which can reduce the institutionalization and waste of medical resources caused by the long-term hospitalization of patients with mental illnesses. Our proposed approach can also provide references for operators and policy makers to improve the management, accreditation, and resource allocation of institutions.
    Language English
    Publishing date 2020-06-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare8030189
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Chemical Waste Management in the U.S. Semiconductor Industry

    Shen, Chien-wen / Minh Ly, Pham Thi / Tran, Phung Phi

    Sustainability. 2018 May 13, v. 10, no. 5

    2018  

    Abstract: Sustainability has become the biggest concern of the semiconductor industry because of hundreds of high-purity organic and inorganic compounds involved in manufacturing semiconductors not being treated economically. The aim of this study was to ... ...

    Abstract Sustainability has become the biggest concern of the semiconductor industry because of hundreds of high-purity organic and inorganic compounds involved in manufacturing semiconductors not being treated economically. The aim of this study was to understand how semiconductor companies manage their chemical wastes, by analyzing the U.S. Environmental Protection Agency’s Toxics Release Inventory data for hydrogen fluoride, nitric acid, ammonia, N-methyl-2-pyrrolidone, hydrochloric acid, nitrate compounds, and sulfuric acid. Cluster analysis was adopted to classify the U.S. semiconductor companies into different performance groups according to their waste management approaches. On the basis of the results, twenty-seven companies were classified in the “best performance” category for the waste management of two or more chemicals. However, 15 companies were classified in the worst performance categories. The semiconductor companies can refer to our results to understand their performance and which companies they should benchmark regarding chemical waste management. City governments can also refer to our results to employ suitable policies to reduce the negative impacts of the chemical waste from regional semiconductor companies.
    Keywords ammonia ; business enterprises ; cluster analysis ; environmental protection ; hydrochloric acid ; hydrofluoric acid ; inventories ; issues and policy ; manufacturing ; nitrates ; nitric acid ; semiconductors ; sulfuric acid ; waste management ; wastes ; United States
    Language English
    Dates of publication 2018-0513
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2518383-7
    ISSN 2071-1050
    ISSN 2071-1050
    DOI 10.3390/su10051545
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Financial performance and enterprise resource planning implementation

    Shen, Chien-wen

    Challenges in information technology management , p. 99-105

    a study of manufacturers in Taiwan

    2008  , Page(s) 99–105

    Author's details Chien-wen Shen
    Keywords Industrie ; Betriebliche Finanzwirtschaft ; ERP-System ; Unternehmenserfolg ; Taiwan
    Language English
    Publisher World Scientific
    Publishing place Singapore
    Document type Article
    Database ECONomics Information System

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  7. Article: Temporal aggregation and the production smoothing model

    Shen, Chien-wen

    Advances in industrial engineering and operations research : [revised and extended articles written by prominent researchers participating in the International MultiConference of Engineers and Computer Scientists (IMECS) 2007 ; held in Hong Kong on March 21 - 23, 2007] , p. 83-94

    evidence from electronic parts and components manufacturing in Taiwan

    2008  , Page(s) 83–94

    Author's details Chien-wen Shen
    Keywords Elektroindustrie ; Elektronisches Bauelement ; Lagerzyklus ; Taiwan
    Language English
    Size graph. Darst.
    Publisher Springer
    Publishing place New York
    Document type Article
    ISBN 978-038-774-903-7 ; 038-774-903-9
    Database ECONomics Information System

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  8. Article: Business process re-engineering in the logistics industry

    Shen, Chien-wen / Chou, Ching-chih

    Enterprise information systems Vol. 4, No. 1 , p. 61-78

    a study of implementation, success factors, and performance

    2010  Volume 4, Issue 1, Page(s) 61–78

    Author's details Chien-wen Shen and Ching-Chih Chou
    Language English
    Size graph. Darst.
    Publisher Taylor & Francis
    Publishing place Abingdon
    Document type Article
    ZDB-ID 2435748-0 ; 2272632-9
    ISSN 1751-7583 ; 1751-7575
    ISSN (online) 1751-7583
    ISSN 1751-7575
    Database ECONomics Information System

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  9. Article: Measuring dynamic competitativeness among container ports

    Shen, Chien-wen / Chou, Ching-shih / Lee, Heng-chi

    International journal of shipping and transport logistics : IJSTL Vol. 5, No. 6 , p. 637-651

    an autoregressive distributed lag apporach

    2013  Volume 5, Issue 6, Page(s) 637–651

    Author's details Chien-Wen Shen; Heng-Chi Lee; Ching-Shih Chou
    Keywords container transport ; port competition ; autoregressive distributed lag model ; error correction model ; ECM
    Language English
    Size Kt.
    Publisher Inderscience Enterprises
    Publishing place Genéve [u.a.]
    Document type Article
    ZDB-ID 2540122-1
    ISSN 1756-6517
    Database ECONomics Information System

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