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211.
Community cellular networks
by Heimerl, Kurtis, Ph.D.  University of California, Berkeley. 2013: 83 pages; 3616679.
212.
213.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
216.
Durative events in publish and subscribe systems for ad-hoc mobile networks
by Renner, Ray Dale, Ph.D.  The George Washington University. 2009: 82 pages; 3396519.
217.
On the Usability of Continuous Time Bayesian Networks: Improving Scalability and Expressiveness
by Perreault, Logan Jared, Ph.D.  Montana State University. 2017: 250 pages; 10258540.
218.
Ultra-Large-Scale Crowdsensing in Device-to-Device Networks
by Han, Yanyan, Ph.D.  University of Louisiana at Lafayette. 2017: 120 pages; 10266292.
219.
Business Process Management in the Digital Age: Advancements in Data, Networks, and Opportunities
by Seyfried, Johannes, D.Econ.  Universitaet Bayreuth (Germany). 2019: 64 pages; 27628203.
220.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
221.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
222.
Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation
by Aakur, Sathyanarayanan Narasimhan, Ph.D.  University of South Florida. 2019: 138 pages; 13903779.
223.
Deep Networks for Forward Prediction and Planning
by Henaff, Mikael, Ph.D.  New York University. 2018: 164 pages; 10928805.
224.
Predictive data management with mobile agents for wireless sensor networks
by Bathini, Allibabu, M.S.  California State University, Long Beach. 2016: 32 pages; 10108181.
225.
Data-driven computer vision for science and the humanities
by Lee, Stefan, Ph.D.  Indiana University. 2016: 130 pages; 10153534.
226.
Secure framework for implementing distributed networked control systems with mobile observers using heterogeneous controllers
by Padilla-Franco, Javitt Higmar Nahitt, Ph.D.  New Mexico State University. 2017: 194 pages; 10759028.
227.
Real-Time Adaptive Data-Driven Perception for Anomaly Priority Scoring at Scale
by Miraftabzadeh, Seyed Ali, Ph.D.  The University of Texas at San Antonio. 2017: 142 pages; 10686275.
228.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
229.
Asymptotic Dynamical States in Networks of Kuramoto Oscillators with Inertia
by Plietzsch, Anton, Master's  Humboldt Universitaet zu Berlin (Germany). 2017: 64 pages; 27733238.
230.
Node failure detection and data retrieval in wireless sensor networks
by Kotari, Ravi Teja, M.S.  California State University, Long Beach. 2016: 33 pages; 10108190.
231.
Multi-Network Access: How It Can Benefit Network Operators and Consumers Alike
by Zhang, Nandi, Ph.D.  Carnegie Mellon University. 2019: 169 pages; 27671423.
232.
Learning-Based Methods for Single Image Restoration and Translation
by Zhang, He, Ph.D.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 149 pages; 10982777.
233.
234.
Techniques for Enhancing the Security of Future Smart Grids
by Saed, Mustafa, Ph.D.  University of Detroit Mercy. 2018: 444 pages; 10793626.
235.
Application Layer Authentication Using a Time-Based Password Effect upon the Smart Home Automation Controller
by Bringardner, Alan Scott, D.Sc.  Capitol Technology University. 2017: 227 pages; 27739945.
236.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
238.
Date-Driven Topology Identification in Power Distribution Systems with Machine Learning
by Li, Yifu, M.S.  The George Washington University. 2020: 129 pages; 28087793.
239.
On Strategic Behavior in Networks
by Johnson, Samuel David, Ph.D.  University of California, Davis. 2016: 119 pages; 10124420.
240.
Human Activity Analysis using Multi-modalities and Deep Learning
by Zhang, Chenyang, Ph.D.  The City College of New York. 2016: 115 pages; 10159927.
211 - 240 of 23108 displayed.
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