The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Tsungyu Chou - One of the best experts on this subject based on the ideXlab platform.
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metal free nitrogen doped graphene used as a novel catalyst for dye sensitized solar Cell Counter electrodes
RSC Advances, 2012Co-Authors: Mingyu Yen, Chienkuo Hsieh, Chihchun Teng, Minchien Hsiao, Poi Liu, Chenchi M, Mingchi Tsai, Chuenhorng Tsai, Yanru Lin, Tsungyu ChouAbstract:Nitrogen-doped graphene (NGR) was incorporated as a catalyst and used as a Counter electrode in dye-sensitized solar Cells (DSSCs). The NGR electrodes showed a number of advantages over other electrodes that consisted solely of graphene or Pt films, including high charge transfer rates, low resistance to diffusion, and low internal resistance.
Mingyu Yen - One of the best experts on this subject based on the ideXlab platform.
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metal free nitrogen doped graphene used as a novel catalyst for dye sensitized solar Cell Counter electrodes
RSC Advances, 2012Co-Authors: Mingyu Yen, Chienkuo Hsieh, Chihchun Teng, Minchien Hsiao, Poi Liu, Chenchi M, Mingchi Tsai, Chuenhorng Tsai, Yanru Lin, Tsungyu ChouAbstract:Nitrogen-doped graphene (NGR) was incorporated as a catalyst and used as a Counter electrode in dye-sensitized solar Cells (DSSCs). The NGR electrodes showed a number of advantages over other electrodes that consisted solely of graphene or Pt films, including high charge transfer rates, low resistance to diffusion, and low internal resistance.
S. Srinivasan - One of the best experts on this subject based on the ideXlab platform.
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Clustering the Age Classified Preprocessed Automated Blood Cell Counter Data using K-Means First Distinct Element Selection and Random Selection Algorithms
International Journal of Computer Applications, 2013Co-Authors: D. Minnie, S. SrinivasanAbstract:The raw Complete Blood Count (CBC) or Full Blood Count (FBC) data from an Automated Blood Cell Counter are collected and transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases. The data is classified into child and adult data sets. The transformed data is used to create clusters of the database in this paper. The K-Means algorithm with two initial mean selection such as first element selection and random element selection is applied on the attributes of the Automated Blood Cell Counter Data to form various clusters. Twelve thousand records are taken from a clinical laboratory for processing. General Terms Algorithms.
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ACITY (3) - Preprocessing of Automated Blood Cell Counter Data and Discretization of Data Using Chi Merge Algorithm in Clinical Pathology
Advances in Computing and Information Technology, 2013Co-Authors: D. Minnie, S. SrinivasanAbstract:This paper applies the preprocessing phases of the Knowledge Discovery in Databases to the automated blood Cell Counter data and creates discrete ranges of blood Cell Counter data that can be used in grouping data using classification, clustering and association rule generation. The functions of an automated blood Cell Counter from a clinical pathology laboratory and the phases in Knowledge Discovery in Databases are explained briefly. Twelve thousand records are taken from a clinical laboratory for processing. The preprocessing steps of the KDD process are applied on the blood Cell Counter data. This paper applies the Chi Merge algorithm on the blood Cell Counter data and generates discretized data representing ranges of values for the data.
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DISCRETIZING THE PREPROCESSED AUTOMATED BLOOD Cell Counter DATA USING CHI MERGE ALGORITHM IN CLINICAL PATHOLOGY
International Journal of Information Technology Convergence and Services, 2012Co-Authors: D. Minnie, S. SrinivasanAbstract:This paper applies the preprocessing phases of the Knowledge Discovery in Data-bases to the automated blood Cell Counter data and creates discrete ranges of blood Cell Counter data that can be used in grouping data using classification, clustering and association rule generation. The functions of an automated blood Cell Counter from a clinical pathology laboratory and the phases in Knowledge Discovery in Databases are explained briefly. Twelve thousand records are taken from a clinical laboratory for processing. The preprocessing steps of the KDD process are applied on the blood Cell Counter data. This paper applies the Chi Merge algorithm on the blood Cell Counter data and generates discretized data representing ranges of values for the data.
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Clustering the Preprocessed Automated Blood Cell Counter Data using modified K-Means Algorithms and Generation of Association Rules
International Journal of Computer Applications, 2012Co-Authors: D. Minnie, S. SrinivasanAbstract:The raw data from an Automated Blood Cell Counter is transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases and the transformed data is used to create clusters of the database in this paper. The K-Means algorithm is applied on the database to form various clusters. Twelve thousand records are taken from a clinical laboratory for processing. Associations among the various attributes of the database are generated. General Terms Algorithms.
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Preprocessing of Automated Blood Cell Counter Data and Generation of Association Rules in Clinical Pathology
Advances in Intelligent and Soft Computing, 2012Co-Authors: D. Minnie, S. SrinivasanAbstract:This paper applies the preprocessing phases of the Knowledge Discovery in Databases to the automated blood Cell Counter data and generates association rules using apriori algorithm. The functions of an automated blood Cell Counter from a clinical pathology laboratory and the phases in Knowledge Discovery in Databases are explained briefly. Twelve thousand records are taken from a clinical laboratory for processing. The preprocessing steps of the KDD process are applied on the blood Cell Counter data. This paper applies the Apriori algorithm on the blood Cell Counter data and generates interesting association rules that are useful for medical diagnosis.
Yanru Lin - One of the best experts on this subject based on the ideXlab platform.
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metal free nitrogen doped graphene used as a novel catalyst for dye sensitized solar Cell Counter electrodes
RSC Advances, 2012Co-Authors: Mingyu Yen, Chienkuo Hsieh, Chihchun Teng, Minchien Hsiao, Poi Liu, Chenchi M, Mingchi Tsai, Chuenhorng Tsai, Yanru Lin, Tsungyu ChouAbstract:Nitrogen-doped graphene (NGR) was incorporated as a catalyst and used as a Counter electrode in dye-sensitized solar Cells (DSSCs). The NGR electrodes showed a number of advantages over other electrodes that consisted solely of graphene or Pt films, including high charge transfer rates, low resistance to diffusion, and low internal resistance.
Chuenhorng Tsai - One of the best experts on this subject based on the ideXlab platform.
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metal free nitrogen doped graphene used as a novel catalyst for dye sensitized solar Cell Counter electrodes
RSC Advances, 2012Co-Authors: Mingyu Yen, Chienkuo Hsieh, Chihchun Teng, Minchien Hsiao, Poi Liu, Chenchi M, Mingchi Tsai, Chuenhorng Tsai, Yanru Lin, Tsungyu ChouAbstract:Nitrogen-doped graphene (NGR) was incorporated as a catalyst and used as a Counter electrode in dye-sensitized solar Cells (DSSCs). The NGR electrodes showed a number of advantages over other electrodes that consisted solely of graphene or Pt films, including high charge transfer rates, low resistance to diffusion, and low internal resistance.