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1.
Artificial intelligence approaches to music composition
by Khan, Adil H., M.S.  Northern Kentucky University. 2013: 129 pages; 1549922.
2.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
6.
Early prediction of student goals and affect in narrative-centered learning environments
by Lee, Sunyoung, Ph.D.  North Carolina State University. 2008: 98 pages; 3329207.
7.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
8.
Mathematical Modeling and Estimating Parameters for Type 1 Diabatic Rats by Using Artificial Neural Network Based Model Predictive Control
by Uzun, Guney, M.S.  Southern Illinois University at Edwardsville. 2019: 51 pages; 22589718.
9.
The Status of AI in Music: A Study of the Musical Metacreation Conferences, 2012-2018
by York, Bruce, M.M.  Western Illinois University. 2019: 138 pages; 13901476.
10.
Machine Learning and Cellular Automata: Applications in Modeling Dynamic Change in Urban Environments
by Curtis, Brian J., D.Engr.  The George Washington University. 2018: 84 pages; 10785215.
12.
An analysis of reasonableness models for research assessments
by Kight, William D., Ph.D.  Walden University. 2010: 179 pages; 3396317.
13.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
15.
An argument for the use of computer simulated models in philosophy
by Rines, Jason Russell, M.A.  The University of North Carolina at Charlotte. 2015: 62 pages; 1598081.
16.
Predicting the emplacement of improvised explosive devices: An innovative solution
by Lerner, Warren D., Sc.D.  Capitol College. 2013: 152 pages; 3570322.
17.
Emotion Recognition Using Deep Learning
by Bishnoi, Amit, M.S.  California State University, Long Beach. 2019: 58 pages; 13862789.
18.
Optimal reservoir operations for riverine water quality improvement: A reinforcement learning strategy
by Rieker, Jeffrey Donald, Ph.D.  Colorado State University. 2011: 251 pages; 3454631.
20.
Automatic Snooker-Playing Robot with Speech Recognition Using Deep Learning
by Bhagat, Kunj H., M.S.  California State University, Long Beach. 2018: 61 pages; 10977867.
21.
Using analogy to overcome brittleness in AI systems
by Klenk, Matthew Evans, Ph.D.  Northwestern University. 2009: 213 pages; 3352621.
22.
Predictive modeling of fuel efficiency of trucks
by Bindingnolle Narasimha, Srivatsa, M.S.  State University of New York at Binghamton. 2015: 91 pages; 10092244.
24.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
25.
26.
Ant colony inspired models for trust-based recommendations
by Alathel, Deema, Ph.D.  The George Washington University. 2015: 193 pages; 3686815.
29.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
30.
The android and our cyborg selves: What androids will teach us about being (post)human
by Bodley, Antonie Marie, Ph.D.  Washington State University. 2015: 225 pages; 3715164.
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