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Now showing items 11-20 of 92
Overcoming Clonal Interference in Escherichia coli Using Genderless High Frequency Recombination Strains
(2014-04-16)
Adaptive laboratory evolution (ALE) is a powerful tool for strain improvement,
and has been applied successfully to improve a range of desirable phenotypes in
model organisms through continuous cultivation under a selective ...
Advances in the Optimization of Energy Systems and Machine Learning Hyperparameters
(2020-04-22)
Intensifying public concern about climate change risks has accelerated the push for more tangible action in the transition toward low-carbon or carbon-neutral energy. Concurrently, the energy industry is also undergoing a ...
Improving Avian Species Distribution Models by Incorporating Biotic Interactions
(2018-10-15)
Maps of actual or potential species distributions are crucial for many aspects of natural resource management, land use development, and conservation planning. Species distribution models (SDMs) attempt to predict or ...
An IoT and Machine Learning Approach for Site-specific Irrigation in Residential Irrigation Systems
(2019-07-16)
Irrigation schedules on traditional irrigation controllers tend to disperse too much water by design and cause runoff, which results in wastage of water and pollution of water sources. Previous attempts at tackling this ...
Graph Analytics For Smart Manufacturing
(2020-08-10)
Emergence in the high-resolution sensing and imaging technologies have allowed us to track the variability in manufacturing processes occurring at every conceivable resolution of interest. However, representation of the ...
Production Data Analysis by Machine Learning
(2019-04-17)
In this dissertation, I will present my research work on two different topics. The first topic is production data analysis of low-permeability well. The second topic is a quantitative evaluation of key completion controls ...
Modeling and Control Techniques in Smart Systems
(2018-08-08)
Energy and food crisis are two major problems that our human society has to face in the 21st
century. With the world’s population reaching 7.62 billion as of May 2018, both electric power
and agricultural industries turn ...
A Wearable Data Collection Platform with Smart Annotation Capabilities
(2019-05-17)
Remotely tracking users’ activity and physiology can help on disease treatment and health monitoring. For example, in nutrition management, tracking food intake helps on weight control. However, to train tracking algorithms, ...
Dynamic Analysis of Recurrent Neural Networks
(2020-01-16)
With the advancement in deep learning research, neural networks have become one of the most powerful tools for artificial intelligence tasks. More specifically, recurrent neural networks (RNNs) have achieved state-of-the-art ...
Developing intelligent agents for training systems that learn their strategies from expert players
(Texas A&M University, 2005-11-01)
Computer-based training systems have become a mainstay in military and
private institutions for training people how to perform certain complex tasks. As
these tasks expand in difficulty, intelligent agents will appear as ...