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91.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
92.
Linear Frequency Modulation of Stochastic Radar Waveform
by Govoni, Mark-Anthony, Ph.D.  Stevens Institute of Technology. 2011: 163 pages; 3461872.
93.
Rapid Learning with Stochastic Focus of Attention
by Pelossof, Raphael A., Ph.D.  Columbia University. 2011: 85 pages; 3451712.
94.
Counteracting traffic congestion using intelligent driver feedback
by Drum, David K., M.S.  University of Missouri - Columbia. 2014: 133 pages; 10180875.
96.
The relationship of everyday executive function and autism spectrum disorder symptoms in preschoolers
by Etemad, Pontea, Ed.D.  The George Washington University. 2010: 95 pages; 3418252.
97.
Evolutionary constraints on plasticity in the anti-herbivore defenses of Solanum carolinense
by McNutt, David William, Ph.D.  The Florida State University. 2013: 115 pages; 3612462.
98.
Digital feedback control of MEMS devices: Design challenges and power efficient design using multi-timescales
by Kataria, Nitin, Ph.D.  University of California, Santa Barbara. 2009: 189 pages; 3371652.
99.
Rate-and-Power Control Based Energy-Saving Transmissions in Multicarrier Base Stations Using Energy Adaptive Rate Control Algorithm
by Bangalore Mohan Kumar, Veeresh, M.S.  California State University, Long Beach. 2018: 60 pages; 10839376.
100.
Real-time Determination and Inversion of Vibration Modes for Control of Elastic Inverted Pendulum
by Blackney, Andrew S., M.S.  California State University, Long Beach. 2018: 82 pages; 10752034.
101.
Reinforcement Learning in Structured and Partially Observable Environments
by Azizzadenesheli, Kamyar, Ph.D.  University of California, Irvine. 2019: 170 pages; 13896671.
102.
Functional Itô calculus and applications
by Fournie, David-Antoine, Ph.D.  Columbia University. 2010: 138 pages; 3420880.
104.
A Dynamic Stochastic Optimization for Recharging of Plug-in Electric Vehicles
by Liu, Siyan, M.S.  The George Washington University. 2016: 58 pages; 10133981.
105.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
106.
107.
Modeling and adaptive robust motion control of piezoelectric actuators
by Zhong, Jinghua, Ph.D.  Purdue University. 2014: 115 pages; 3636707.
108.
Variable Memory Recurrent Neural Networks for Nano Sat Launch Vehicle attitude control
by Sclafani, Rodolfo J., M.S.  California State University, Long Beach. 2014: 79 pages; 1527749.
109.
Learning to Learn with Gradients
by Finn, Chelsea B., Ph.D.  University of California, Berkeley. 2018: 199 pages; 10930398.
111.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
112.
Design and analysis of algorithms for large-scale distributed systems: A control theoretic approach
by Patterson, Stacy, Ph.D.  University of California, Santa Barbara. 2009: 208 pages; 3371672.
113.
Cattle ranching on the western Great Plains: A study of adaptive decision-making
by Wilmer, Hailey, Ph.D.  Colorado State University. 2016: 169 pages; 10195482.
114.
Developing an Active Ankle Foot Orthosis Based On Shape Memory Alloys
by Tarkesh Esfahani, Ehsan, M.S.  The University of Toledo. 2007: 145 pages; 10835981.
116.
119.
Driver Distraction in Microsimulation of a Mid-Block Pedestrian Crossing
by Michaud, Darryl Joseph, M.S.  Portland State University. 2018: 195 pages; 10830985.
120.
Optimization with multivariate stochastic dominance constraints
by Wolfhagen, Eli A., Ph.D.  Stevens Institute of Technology. 2015: 147 pages; 3715975.
91 - 120 of 42483 displayed.
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