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Oklahoma State University. Computer Science. degree granting institution.

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SpringerLink (Online service)

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Hong Kong University of Science and Technology (Hong Kong). Computer Science and Engineering. degree granting institution.

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Purdue University. Computer Graphics Technology. degree granting institution.

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Queen's University (Canada). degree granting institution.

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Zelkowitz, Marvin V., 1945-

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Brown, Ariana, author.

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Brown, Matthew S., author. (orcid)0000-0002-6535-8877

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California State University, Los Angeles. Computer Science. degree granting institution.

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Chen, Hsinchun.

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Chen, Shixing, author.

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Church, Benjamin David, author.

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Cleary, Alan Michael, author.

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Drexel University. Digital Media (Westphal College of Media Arts and Design). degree granting institution.

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Dwivedi, Prateek, author.

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He, Lindun, author.

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Iowa State University. Computer Science. degree granting institution.

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Jinka Suresh Babu, Ashwini, author.

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Kale, Bharat K., author.

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Kibble, Geoffrey A., author.

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Kokate, Apurva, author. (orcid)0000-0003-2353-4171

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Montana State University. Computer Science. degree granting institution.

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Muniraju, Archana, author.

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Nandigam, Srinagavalli, author.

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

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Nothelfer, Christine Estelle, author.

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Oklahoma State University. Mechanical & Aerospace Engineering. degree granting institution.

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Rutgers The State University of New Jersey, School of Graduate Studies. Computer Science. degree granting institution.

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Wayne State University. Computer Science. degree granting institution.

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Wu, Wenchao, author.

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Yovits, M. C. (Marshall Clinton)

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Analysis of Dynamic Mode Decomposition için kapak resmi

Analysis of Dynamic Mode Decomposition

25.

Analysis of Dynamic Mode Decomposition

by

Muniraju, Archana, 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:10808982

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this work, as it is useful for visualization and to find the robustness of the new algorithm. Finally

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

26.

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

by

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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. Visualization of CLDNNs are presented to help understand the framework. The model is proved accurate and fast

Utilization of Cluster Analysis and Machine Learning to Clarify Mutational Linkages between Osteoporosis and Cardiovascular Disease in Human Population için kapak resmi

Utilization of Cluster Analysis and Machine Learning to Clarify Mutational Linkages between Osteoporosis and Cardiovascular Disease in Human Population

27.

Utilization of Cluster Analysis and Machine Learning to Clarify Mutational Linkages between Osteoporosis and Cardiovascular Disease in Human Population

by

Sawada, Kae, 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:10811231

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intuitive visualization method for high dimensional dataset. The data visualization and auto

Enterprise Architecture at Work Modelling, Communication and Analysis için kapak resmi

Enterprise Architecture at Work Modelling, Communication and Analysis

28.

Enterprise Architecture at Work Modelling, Communication and Analysis

by

Lankhorst, Marc. author.

http://dx.doi.org/10.1007/978-3-642-29651-2

Format:

Alıntı:

Visualization -- Architecture Analysis -- Architecture Alignment -- Tool Support -- Case Studies -- Beyond

A Web-based Software System Utilizing Consensus Networks to Infer Gene Interactions için kapak resmi

A Web-based Software System Utilizing Consensus Networks to Infer Gene Interactions

29.

A Web-based Software System Utilizing Consensus Networks to Infer Gene Interactions

by

Deeter, Anthony, 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:10891687

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introduced the concept of edge resolution and implemented it in the visualization module. Finally, a software

Assessing and Developing Two Educational Tools on ARP Spoofing Attacks için kapak resmi

Assessing and Developing Two Educational Tools on ARP Spoofing Attacks

30.

Assessing and Developing Two Educational Tools on ARP Spoofing Attacks

by

Brown, Ariana, 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:10787170

Format:

Alıntı:

's Graphical User Interface (HGUI), is a visualization tool that demonstrates ARP Spoofing Attack with real

Visual Selection in Data Visualizations için kapak resmi

Visual Selection in Data Visualizations

31.

Visual Selection in Data Visualizations

by

Nothelfer, Christine Estelle, 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:10817381

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visualization techniques and design practices. Perceptual psychology, on the other hand, benefits from such work

Core Structure and Influence in Social Networks için kapak resmi

Core Structure and Influence in Social Networks

32.

Core Structure and Influence in Social Networks

by

Govindan, Priya, 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:10902065

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addition to that, we present a graph visualization technique, that uses both kappa-core and kappa

Implementation of Self-organizing Maps with Python için kapak resmi

Implementation of Self-organizing Maps with Python

33.

Implementation of Self-organizing Maps with Python

by

Yuan, Li, 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:10287943

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visualization, such as evaluating the model's quality with statistical methods and plotting marginal probability

Experimental and Computational Investigation of the Conformal Vortex Generator için kapak resmi

Experimental and Computational Investigation of the Conformal Vortex Generator

34.

Experimental and Computational Investigation of the Conformal Vortex Generator

by

Kibble, Geoffrey A., 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:10273491

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visualization and particle velocimetry (PIV) flow field measurements. Computational work was accomplished with

Visual Analytics of Bi-Directional and Cluster Movements için kapak resmi

Visual Analytics of Bi-Directional and Cluster Movements

35.

Visual Analytics of Bi-Directional and Cluster Movements

by

Zheng, Yixian, 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:10903442

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analytical tasks in real world applications. Therefore, analysts seek the help of visualization to integrate

Visual Analysis of Dynamics of Urban Regions Based on Human Mobility Data için kapak resmi

Visual Analysis of Dynamics of Urban Regions Based on Human Mobility Data

36.

Visual Analysis of Dynamics of Urban Regions Based on Human Mobility Data

by

Wu, Wenchao, 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:10903410

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trajectories, metro passenger RFID card records and telco data). Combining advanced visualization techniques (e

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