Aman

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41

2 AMAN COMPETITION MAP’S ENTRY FOR THE NEWS ITEM AWARD

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Source URL: www.aman-alliance.org

- Date: 2017-11-11 05:51:21
    42

    Immigration/EU: Clandestine Immigrants the ‘Slaves of Modern Times’ By Ricardo Bordalo (text) and Omar Camilo (photos) - Lusa Agency Dakar, Oct. 8 (Lusa) – Joseph N’Diaye, the curator of the House of Slaves on G

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    Source URL: www.aman-alliance.org

    - Date: 2017-11-11 05:51:21
      43Influence-driven Model for Time Series Prediction from Partial Observations Saima Aman Charalampos Chelmis and Viktor K. Prasanna  Department of Computer Science

      Influence-driven Model for Time Series Prediction from Partial Observations Saima Aman Charalampos Chelmis and Viktor K. Prasanna Department of Computer Science

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      Source URL: ganges.usc.edu

      - Date: 2015-07-02 12:27:26
        441  Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids Yogesh Simmhan∗ , Vaibhav Agarwal† , Saima Aman† , Alok Kumbhare† , Sreedhar Natarajan† , Nikhil Rajguru† , Ian Robinson‡ , Sam

        1 Adaptive Energy Forecasting and Information Diffusion for Smart Power Grids Yogesh Simmhan∗ , Vaibhav Agarwal† , Saima Aman† , Alok Kumbhare† , Sreedhar Natarajan† , Nikhil Rajguru† , Ian Robinson‡ , Sam

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        Source URL: ganges.usc.edu

        - Date: 2012-05-18 21:06:57
          45Estimating Reduced Consumption for Dynamic Demand Response Charalampos Chelmis, Saima Aman, Muhammad Rizwan Saeed, Marc Frincu, Viktor K. Prasanna University of Southern California, Los Angeles, CA Email: {chelmis, saman

          Estimating Reduced Consumption for Dynamic Demand Response Charalampos Chelmis, Saima Aman, Muhammad Rizwan Saeed, Marc Frincu, Viktor K. Prasanna University of Southern California, Los Angeles, CA Email: {chelmis, saman

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          Source URL: ganges.usc.edu

          - Date: 2015-01-24 19:02:07
            46Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators Saima Aman Department of Computer Science University of Southern California Los Angeles, CA

            Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators Saima Aman Department of Computer Science University of Southern California Los Angeles, CA

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            Source URL: ganges.usc.edu

            - Date: 2011-10-17 17:23:54
              47Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble Saima Aman Charalampos Chelmis and Viktor K. Prasanna  Computer Science Department

              Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble Saima Aman Charalampos Chelmis and Viktor K. Prasanna Computer Science Department

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              Source URL: ganges.usc.edu

              - Date: 2016-02-01 04:33:10
                48Prediction Models for Dynamic Demand Response Requirements, Challenges, and Insights Saima Aman* , Marc Frincu† , Charalampos Chelmis† , Muhammad Noor† , Yogesh Simmhan‡ , Viktor K. Prasanna† *  Computer Scienc

                Prediction Models for Dynamic Demand Response Requirements, Challenges, and Insights Saima Aman* , Marc Frincu† , Charalampos Chelmis† , Muhammad Noor† , Yogesh Simmhan‡ , Viktor K. Prasanna† * Computer Scienc

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                Source URL: ganges.usc.edu

                - Date: 2016-02-13 16:40:35
                  49Addressing Data Veracity in Big Data Applications Saima Aman† , Charalampos Chelmis‡ , Viktor Prasanna‡ † Department of Computer Science ‡ Department of Electrical Engineering University of Southern California,

                  Addressing Data Veracity in Big Data Applications Saima Aman† , Charalampos Chelmis‡ , Viktor Prasanna‡ † Department of Computer Science ‡ Department of Electrical Engineering University of Southern California,

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                  Source URL: ganges.usc.edu

                  - Date: 2016-06-27 14:57:45
                    50Challenge On Online Time Series Clustering For Demand Response OPTIC - A Theory to Break the ‘Curse of Dimensionality’ Ranjan Pal, Charalampos Chelmis, Chandra Tadepalli Marc Frincu, Saima Aman, Viktor Prasanna Unive

                    Challenge On Online Time Series Clustering For Demand Response OPTIC - A Theory to Break the ‘Curse of Dimensionality’ Ranjan Pal, Charalampos Chelmis, Chandra Tadepalli Marc Frincu, Saima Aman, Viktor Prasanna Unive

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                    Source URL: ganges.usc.edu

                    - Date: 2015-07-14 05:37:25