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Relevant bibliographies by topics / ISIC archive

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Academic literature on the topic 'ISIC archive'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "ISIC archive"

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Bajwa, Muhammad Naseer, Kaoru Muta, Muhammad Imran Malik, et al. "Computer-Aided Diagnosis of Skin Diseases Using Deep Neural Networks." Applied Sciences 10, no. 7 (2020): 2488. http://dx.doi.org/10.3390/app10072488.

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Propensity of skin diseases to manifest in a variety of forms, lack and maldistribution of qualified dermatologists, and exigency of timely and accurate diagnosis call for automated Computer-Aided Diagnosis (CAD). This study aims at extending previous works on CAD for dermatology by exploring the potential of Deep Learning to classify hundreds of skin diseases, improving classification performance, and utilizing disease taxonomy. We trained state-of-the-art Deep Neural Networks on two of the largest publicly available skin image datasets, namely DermNet and ISIC Archive, and also leveraged dis

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S., Nandhini, Abdul Sofiyan Mohammed, Kumar Sushant, and Afridi Adnan. "Skin Cancer Classification using Random Forest." International Journal of Management and Humanities (IJMH) 4, no. 3 (2019): 39–42. https://doi.org/10.35940/ijmh.C0434.114319.

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Skin cancer is a very big health issue in today’s fastgrowing population not only for old age people but for all age groups. We are classifying skin cancer of a person according to dermatoscopic images into seven different types. We handle this issue utilizing the HAM10000 (Human-Against-Machine with 10000 training images) data-set. The finalized dataset includes 10001 dermatoscopic pictures which are released as a readiness set for academic machine learning purposes and are openly available through the ISIC archive. We are classifying skin cancer of a person according to dermatoscopic i

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Veronese, Federica, Francesco Branciforti, Elisa Zavattaro, et al. "The Role in Teledermoscopy of an Inexpensive and Easy-to-Use Smartphone Device for the Classification of Three Types of Skin Lesions Using Convolutional Neural Networks." Diagnostics 11, no. 3 (2021): 451. http://dx.doi.org/10.3390/diagnostics11030451.

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Background. The use of teledermatology has spread over the last years, especially during the recent SARS-Cov-2 pandemic. Teledermoscopy, an extension of teledermatology, consists of consulting dermoscopic images, also transmitted through smartphones, to remotely diagnose skin tumors or other dermatological diseases. The purpose of this work was to verify the diagnostic validity of images acquired with an inexpensive smartphone microscope (NurugoTM), employing convolutional neural networks (CNN) to classify malignant melanoma (MM), melanocytic nevus (MN), and seborrheic keratosis (SK). Methods.

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Cano, Elia, José Mendoza-Avilés, Mariana Areiza, Noemi Guerra, José Longino Mendoza-Valdés, and Carlos A. Rovetto. "Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet." PeerJ Computer Science 7 (June 3, 2021): e371. http://dx.doi.org/10.7717/peerj-cs.371.

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Skin lesions are one of the typical symptoms of many diseases in humans and indicative of many types of cancer worldwide. Increased risks caused by the effects of climate change and a high cost of treatment, highlight the importance of skin cancer prevention efforts like this. The methods used to detect these diseases vary from a visual inspection performed by dermatologists to computational methods, and the latter has widely used automatic image classification applying Convolutional Neural Networks (CNNs) in medical image analysis in the last few years. This article presents an approach that

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Lyakhova, U. A., P. A. Lyakhov, R. I. Abdulkadirov, G. A. Efimenko, S. A. Romanov, and D. I. Kaplun. "System for neural network recognition of malignant pigmented skin neoplasms with image pre-processing." Journal of Physics: Conference Series 2052, no. 1 (2021): 012023. http://dx.doi.org/10.1088/1742-6596/2052/1/012023.

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Abstract The article presents a system for the recognition of malignant pigmented skin neoplasms with a preliminary processing stage. Image pre-processing consists of removing hair structures from images, as well as resizing images and their further augmentation. Augmentation made it possible to increase the variety of training data, balance the number of images in different categories, and avoid retraining the neural network. The modeling was carried out using the MatLab R2020b software package for solving technical calculations on clinical dermatoscopic images from the international open arc

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Wang, Ying, Jie Su, Qiuyu Xu, and Yixin Zhong. "A Collaborative Learning Model for Skin Lesion Segmentation and Classification." Diagnostics 13, no. 5 (2023): 912. http://dx.doi.org/10.3390/diagnostics13050912.

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The automatic segmentation and classification of skin lesions are two essential tasks in computer-aided skin cancer diagnosis. Segmentation aims to detect the location and boundary of the skin lesion area, while classification is used to evaluate the type of skin lesion. The location and contour information of lesions provided by segmentation is essential for the classification of skin lesions, while the skin disease classification helps generate target localization maps to assist the segmentation task. Although the segmentation and classification are studied independently in most cases, we fi

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Alqudah, Ali Mohammad, Hiam Alquraan, and Isam Abu Qasmieh. "Segmented and Non-Segmented Skin Lesions Classification Using Transfer Learning and Adaptive Moment Learning Rate Technique Using Pretrained Convolutional Neural Network." Journal of Biomimetics, Biomaterials and Biomedical Engineering 42 (July 2019): 67–78. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.42.67.

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A skin lesion is a very severe problem, especially in coastal countries. Early detection by a highly reliable classification of skin lesion causes a great reduction in the mortality rate. Recognition of melanoma is a complicated issue due to the high degree of visual similarities between melanoma and non-melanoma lesions. Various studies are carried out to overcome this problem and to obtain accurate screening of skin lesion, where the most recent method for segmenting and classifying the lesion is based on a deep learning algorithm. In this paper, (GoogleNet) and (AlexNet) are employed with t

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Lyakhov, P. A., and U. A. Lyakhova. "Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs." Computer Optics 5, no. 45 (2021): 728–35. http://dx.doi.org/10.18287/2412-6179-co-863.

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The article proposes a neural network classification system for pigmented skin neoplasms with a preliminary processing stage to remove hair from the images. The main difference of the proposed system is the use of the stage of preliminary image processing to identify the location of the hair and their further removal. This stage allows you to prepare dermatoscopic images for further analysis in order to carry out automated classification and diagnosis of pigmented skin lesions. Modeling was carried out using the MatLAB R2020b software package on clinical dermatoscopic images from the internati

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Lyakhov, P. A., and U. A. Lyakhova. "Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs." Computer Optics 5, no. 45 (2021): 728–35. http://dx.doi.org/10.18287/2412-6179-co-863.

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The article proposes a neural network classification system for pigmented skin neoplasms with a preliminary processing stage to remove hair from the images. The main difference of the proposed system is the use of the stage of preliminary image processing to identify the location of the hair and their further removal. This stage allows you to prepare dermatoscopic images for further analysis in order to carry out automated classification and diagnosis of pigmented skin lesions. Modeling was carried out using the MatLAB R2020b software package on clinical dermatoscopic images from the internati

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Wamane, Niharika, Aishwarya Yadav, Jidnyasa Bhoir, Deep Shelke, and Deepali Kadam. "A Comparative Study of Melanoma Images Using CNN And Resnet 50." Journal of Innovative Image Processing 5, no. 1 (2023): 20–35. http://dx.doi.org/10.36548/jiip.2023.1.002.

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Melanoma is a specific type of skin cancer that can be lethal if not diagnosed and treated early. This paper presents a deep-learning approach for the automatic identification of melanoma on dermoscopic images from the ISIC Archive dataset and non-dermoscopic images from the MED-NODE dataset. The method involves the development of Convolutional Neural Network (CNN) and ResNet50 models, along with various pre-processing techniques. The CNN and ResNet50 models detect melanoma from dermoscopic images with 98.07% and 99.83% accuracy respectively, using hair removal and augmentation techniques. For

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Dissertations / Theses on the topic "ISIC archive"

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Moreno, Ruíz Jorge Néstor. "Aplicación del CDS/ISIS en archivos históricos : el caso de la serie campesinado del Archivo General de la Nación." Pontificia Universidad Católica del Perú. Dirección Académica de Investigación (DAI), 1995. http://repositorio.pucp.edu.pe/index/handle/123456789/69815.

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Books on the topic "ISIC archive"

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Mieroop, Marc Van de. Crafts in the early Isin period: A study of the Isin Craft Archive from the reigns of Išbi-Erra and Šū-Ilišu. Departement Oriëntalistiek, 1987.

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1954-, Bigatti Giorgio, and Lucas Uliano, eds. È un meridionale però ha voglia di lavorare. FrancoAngeli, 2011.

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M, Nafala K., Sen B. K, and UNESCO, New Delhi. Communication and Information Sector, eds. Digital archiving of audio content using WINISIS and Greenstone software: A manual for community radio managers. Communication and Information Sector, United Nations Educational, Scientific, and Cultural Organization, 2009.

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K, Pugh R., and Pugh Margaret 1920-, eds. The Diocese books of Samuel Wilberforce: Bishop of Oxford 1845-1869. Oxfordshire Record Society, 2008.

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UUelcome Matte©: Déltos from Link Starbureiy: an exercise of imagination, creativity, and wonder. The Link Egglepple Starbureiy Museum, 2010.

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Book chapters on the topic "ISIC archive"

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Toulet, Anne, Franck Michel, Anna Bobasheva, et al. "ISSA: Generic Pipeline, Knowledge Model and Visualization Tools to Help Scientists Search and Make Sense of a Scientific Archive." In The Semantic Web – ISWC 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_38.

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AbstractFaced with the ever-increasing number of scientific publications, researchers struggle to keep up, find and make sense of articles relevant to their own research. Scientific open archives play a central role in helping deal with this deluge, yet keyword-based search services often fail to grasp the richness of the semantic associations between articles. In this paper, we present the methods, tools and services implemented in the ISSA project to tackle these issues. The project aims to (1) provide a generic, reusable and extensible pipeline for the analysis and processing of articles of

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García-González, Herminio, and Mike Bryant. "The Holocaust Archival Material Knowledge Graph." In The Semantic Web – ISWC 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47243-5_20.

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AbstractResearch into the Holocaust faces particular challenges due to the diversity and dispersal of its sources. The EHRI Portal, one of the main outputs of the EHRI project, is a platform for contextualising and integrating metadata about Holocaust-related archival material. In this work we undertake to deliver the EHRI Portal’s archival metadata as Linked Open Data in order to explore the benefits that this model can provide to the field in terms of decentralised data access and integration with the wider Semantic Web. We describe the process of transforming the existing data to a Knowledg

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Vuletic, Dean. "The Intervision Song Contest." In Music and Democracy. mdwPress / transcript Verlag, 2021. http://dx.doi.org/10.14361/9783839456576-006.

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During the Cold War, Eastern Bloc broadcasting organizations held the Intervision Song Contest (ISC) as an alternative to Western Europe's Eurovision Song Contest (ESC). Staged in Czechoslovakia and Poland between 1964 and 1980, the ISC has usually been depicted in the popular media as merely a belated, fleeting copy of the ESC, with the ISC's failure being a metaphor for the decline of the economic and political systems of communist party-led Eastern Europe. However, unlike with the ESC, there has been little academic research on the ISC. This chapter is based on archival sources from nationa

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Mousavi, Nafiseh. "Cameras, Pencils, Traumas: Drawn Images in and as Documentary Practice." In Truth Claims Across Media. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-42064-1_6.

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AbstractNight and Fog in Kurdistan, a documentary film in its last stages of post-production at the time this chapter is being written, documents six years in the life of seven teenage girls who survived the ISIS genocide of Yazidis in 2014. Night and Fog in Kurdistan is a hybrid documentary in its way of combining different types of images, various perspectives, and different approaches to documentary filmmaking. In this film, the photographic image is once in a while interrupted and joined by drawings that serve different functions: They illustrate what is being narrated, portray what has no

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Sukheja, Deepak, T. Sunil Kumar, B. V. Kiranmayee, Malaya Nayak, and Durgesh Mishra. "Prediction of Skin lesions (Melanoma) using Convolutional Neural Networks." In Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815079272122010005.

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Nowadays, computational technology is given great importance in the health care system to understand the importance of advanced computational technologies. Skin cancer or skin disease (melanoma) has been considered in this chapter. As we know, the detection of skin lesions caused by exposure to UV rays over the human body would be a difficult task for doctors to diagnose in the initial stages due to the low contrast of the affected portion of the body. Early prediction campaigns are expected to diminish the incidence of new instances of melanoma by lessening the populace's openness to sunlight

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Vojinović, Miloš. "The Independent State of Croatia and the Ustasha Violence at the Crossroad of Italian and Vatican Documents." In POPE Pius XII and the Challenge of Totalitarianism in Yugoslavia, 1941–1958. Institute for Balkan Studies SASA, 2025. https://doi.org/10.46793/polity25.153v.

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During the Second World War, both Italy and the Holy See were well-positioned to observe events taking place in the Independent State of Croatia. The Italian military operated in the territories of the Independent State of Croatia (Nezavisna Država Hrvatska – NDH). At the same time, Italian diplomats, representatives of the National Fascist Party, and the “apostolic visitor” sent by Pope Pius XII were stationed in Zagreb. Taken together, the Italian military and diplomatic archives (L’Archivio dell’Ufficio Storico dello Stato Maggiore dell’Esercito and Archivio Storico Diplomatico degli Affari

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Dulz, Irene. "The Displacement of the Yezidis after the Rise of ISIS in Northern Iraq." In Kurdish Studies Archive. BRILL, 2024. https://doi.org/10.1163/9789004506138_004.

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Omarkhali, Khanna. "Transformations in the Yezidi Tradition after the ISIS Attacks: an Interview with Ilhan Kizilhan." In Kurdish Studies Archive. BRILL, 2024. https://doi.org/10.1163/9789004506138_008.

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Rogers, Amanda. "Islamic State’s Archive of the Digital Infinite: Imagined Museums, New Media and Conflict Capitalism." In The Art of Minorities. Edinburgh University Press, 2020. http://dx.doi.org/10.3366/edinburgh/9781474443760.003.0013.

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ISIS iconoclasm and destruction of heritage sites, including the looting and the hijacking of museums that they have famously called ‘dens of infidels’, has been well-documented in the heritage literature. Little has been said, however, about ISIS’s production and programming of its own ‘public culture’. This chapter argues that ISIS is a prolific generator and a redoubtable self-promoter, with thousands of images circulating on the internet. This self-generating databank constitutes what the author calls ‘the ISIS archive’, a virtual exhibitionary space that the organisation uses to diffuse i

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Pulzer, Peter. "From Danube to Isis: A Career in Two Cultures." In Liberalism, Anti-Semitism, and Democracy. Oxford University PressOxford, 2001. http://dx.doi.org/10.1093/oso/9780198297239.003.0002.

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Abstract Most historical writing-at any rate writing on modern history-is also autobiography. Often this works indirectly. The writing may be entirely impersonal and drily objective, with no visible connection to the author’s life-story. The details may be derived from archives, newspapers, or inter views, and therefore not part of the author’s own experience. But what about the choice of subject itself, the agenda, the questions to be addressed, and the conclusions to be formulated? Are they chosen at random? Do they derive from some purely external stimulus? Or do they come from inside the s

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Conference papers on the topic "ISIC archive"

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Prasad, Rai Sachindra, and Vikas Prasad. "Template-based Identification of Non-malignant Skin lesions to Minimize Biopsy: Experiments on Hundred Images from ISIC Archive." In 2021 International Conference on e-Health and Bioengineering (EHB). IEEE, 2021. http://dx.doi.org/10.1109/ehb52898.2021.9657581.

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Prasad, Rai Sachindra, and Vikas Prasad. "Identification of Malignant and Non-malignant Skin-lesions to Minimize Biopsy Load Using Two Templates-based Saturation Counts (HSV space): Experiments on Images from ISIC Archive." In 2022 International Conference for Advancement in Technology (ICONAT). IEEE, 2022. http://dx.doi.org/10.1109/iconat53423.2022.9726128.

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Ryokai, Kimiko, Julia Park, and Wesley Deng. "Personal laughter archives." In UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers. ACM, 2020. http://dx.doi.org/10.1145/3410530.3414419.

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Cheng, Yung Sen, Chih Yu Liao, Jenny Chen, and Kuo Tung Hsu. "Implementation and Performance Analysis of the Archive System for the Taiwan Photon Source Project." In 2014 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2014. http://dx.doi.org/10.1109/is3c.2014.102.

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Yous, H., and A. Serir. "Blotch detection in archived video based on regions matching." In 2016 International Symposium on Signal, Image, Video and Communications (ISIVC). IEEE, 2016. http://dx.doi.org/10.1109/isivc.2016.7894019.

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Dobolyi, David G., and Ahmed Abbasi. "PhishMonger: A free and open source public archive of real-world phishing websites." In 2016 IEEE Conference on Intelligence and Security Informatics (ISI). IEEE, 2016. http://dx.doi.org/10.1109/isi.2016.7745439.

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Lin, Bing-Lian, Li-Cheng Chang, Sheng-Siang Huang, De-Wei Shen, and Yu-Cheng Fan. "Two dimensional to three dimensional image conversion system design of digital archives for classical antiques and document." In 2012 International Conference on Information Security and Intelligence Control (ISIC). IEEE, 2012. http://dx.doi.org/10.1109/isic.2012.6449745.

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Wen, Bruce C. Y., Huarn-Chung Chang, Kuo-An Wang, Kuo-Hsien Huang, and Po-Chou Chan. "The Construction of Digital Archives of Wanchun Gong in Taichung City." In 2012 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2012. http://dx.doi.org/10.1109/is3c.2012.158.

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Wang, Hai, Qi Hu, and Yang Cai. "Research on Network Platform of Ubiquitous Service in Ubiquitous Society: A Case Study on Archive." In 2011 International Conference on Intelligence Science and Information Engineering (ISIE). IEEE, 2011. http://dx.doi.org/10.1109/isie.2011.25.

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Wen, Bruce C. Y., Huarn-Chung Chang, Shu-Lin Chiu, Kuo-An Wang, and Po-Chou Chan. "Digital Archives of Poem Manuscripts and Historical Data of Mr. Chang Lai Yulian." In 2012 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2012. http://dx.doi.org/10.1109/is3c.2012.157.

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