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Behzadnia, Peyman, author.

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Gundala palle, Santosh reddy, author.

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Hoang-Vu, Tuan-Anh, author.

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Hossen, Tareq, author.

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Hunter, Ted, author.

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Li, Teng, author.

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Mahapatra, Suchismit, author. (orcid)0000-0002-1851-4195

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New York University Tandon School of Engineering. Computer Science and Engineering. degree granting institution.

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Porter, Steven, author.

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Qiu, Liang, author.

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Rajan, Legorie P. S., author.

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State University of New York at Buffalo. Computer Science and Engineering. degree granting institution.

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Syracuse University. Electrical Engineering and Computer Science. degree granting institution.

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The University of North Dakota. Electrical Engineering. degree granting institution.

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University of California, Los Angeles. Electrical Engineering 0303. degree granting institution.

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University of Missouri - Kansas City. Electrical Engineering. degree granting institution.

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University of South Florida. Computer Science and Engineering. degree granting institution.

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Vedhanayagam, Arpith, author.

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Wayne State University. Electrical Engineering. degree granting institution.

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Google Cloud Platform cookbook : implement, deploy, maintain, and migrate applications on Google Cloud Platform için kapak resmi

Google Cloud Platform cookbook : implement, deploy, maintain, and migrate applications on Google Cloud Platform

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Google Cloud Platform cookbook : implement, deploy, maintain, and migrate applications on Google Cloud Platform

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Rajan, Legorie P. S., author.

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Real-time data processing.

Google Cloud Platform for developers : build highly scalable cloud solutions with the power of Google Cloud Platform için kapak resmi

Google Cloud Platform for developers : build highly scalable cloud solutions with the power of Google Cloud Platform

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Google Cloud Platform for developers : build highly scalable cloud solutions with the power of Google Cloud Platform

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Hunter, Ted, author.

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Real-time data processing.

Droplet Tracking at Speeds ~3000 Frames per Second Using GPU Accelerated Image Processing için kapak resmi

Droplet Tracking at Speeds ~3000 Frames per Second Using GPU Accelerated Image Processing

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Droplet Tracking at Speeds ~3000 Frames per Second Using GPU Accelerated Image Processing

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Vedhanayagam, Arpith, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809363

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automating visual inspection using computer machine vision, one can obtain high definition data while also

Fog Computing Based IoT Applications and Their Performance için kapak resmi

Fog Computing Based IoT Applications and Their Performance

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Fog Computing Based IoT Applications and Their Performance

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Gundala palle, Santosh reddy, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10826020

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providing its maximum services such as Data Storage, Computing or Processing, Analyzing and Securing Big

Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-term Memory, Deep Neural Networks için kapak resmi

Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-term Memory, Deep Neural Networks

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Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-term Memory, Deep Neural Networks

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Qiu, Liang, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829436

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dataset collected from several resources and tested for real time application. The performance of CLDNNs

Regional and Residential Short Term Electric Demand Forecast Using Deep Learning için kapak resmi

Regional and Residential Short Term Electric Demand Forecast Using Deep Learning

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Regional and Residential Short Term Electric Demand Forecast Using Deep Learning

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Hossen, Tareq, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813921

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tool for machine-learning problems, and known for real-time data processing, parallel computations, and

Scalable Nonlinear Spectral Dimensionality Reduction Methods for Streaming Data için kapak resmi

Scalable Nonlinear Spectral Dimensionality Reduction Methods for Streaming Data

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Scalable Nonlinear Spectral Dimensionality Reduction Methods for Streaming Data

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Mahapatra, Suchismit, author. (orcid)0000-0002-1851-4195

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823954

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applied on a data stream. Processing data streams efficiently using standard approaches is also

Spatio-temporal Keyword Index for Interactive Data Exploration için kapak resmi

Spatio-temporal Keyword Index for Interactive Data Exploration

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Spatio-temporal Keyword Index for Interactive Data Exploration

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Hoang-Vu, Tuan-Anh, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10742738

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temporal constraints. We present a detailed experimental evaluation using real data sets which shows that

Efficient Online Scheduling in Distributed Stream Data Processing Systems için kapak resmi

Efficient Online Scheduling in Distributed Stream Data Processing Systems

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Efficient Online Scheduling in Distributed Stream Data Processing Systems

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Li, Teng, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785178

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of continuous data in a distributed and real (or near-real) time manner. A fundamental problem in a

Dynamic Energy-Aware Database Storage and Operations için kapak resmi

Dynamic Energy-Aware Database Storage and Operations

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Dynamic Energy-Aware Database Storage and Operations

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Behzadnia, Peyman, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785897

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tackle energy-efficiency of stream join processing in this research. Given that there is a strong linear

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