Browsing by Subject "machine learning"
Now showing items 41-60 of 107
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User reviews are a widespread across the Internet as an indicator of the quality of a product. However, review systems can be vulnerable to attack. Malicious parties can manipulate the ratings of items by soliciting fake ...
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(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 ...
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(2022-06-27)The aim of this thesis is to explore and develop proxy models for a petroleum reservoir numerical simulator based on scientific machine learning methods. Numerical reservoir simulation is an essential tool used in all ...
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(2023-07-06)Solar activity can cause geomagnetic disturbances (GMDs) that give rise to geomagnetically induced currents (GICs) which can compromise the reliability of the electric grid. The primary goal of this thesis is to investigate ...
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(2020-03-27)Quantitative methods, including Econometrics, Stochastic Simulation and Classifications with Statistical Machine Learning, are widely used in financial markets and applied economics studies. In this dissertation I investigate ...
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(2021-01-22)Establishing mechanistic and causal understanding of a material’s function requires the ability to solve the inverse problem of relating function to atomistic properties and to subsequently examine how synthetic processes ...
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Recent work in the area of automatic emotion recognition has leveraged a large amount of publicly available data with transfer learning techniques to detect emotion on low-resource data. Previous work demonstrated that the ...
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(2021-04-13)The hidden structure in this study contains two objects: one is the root system, the other is the non-visible bubble defect. The plant root system absorbs water and necessary nutrients and also synthesizes organic matter, ...
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(2023-04-19)Federated learning aims to solve a global optimization problem by collectively learning from a group of clients without sharing data they possess. In offline reinforcement learning, an agent aims to learn an optimal policy ...
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(2020-11-23)Image inpainting is the task of filling missing regions in a masked image. Modern approaches for inpainting are unable to effectively utilize contextual information present within the image which results in color, texture ...
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(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 ...
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(2017-08-02)Monitoring activities on a construction jobsite is one of the most important tasks that a construction management team performs every day. Construction management teams monitor activities to ensure that a construction ...
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(2017-08-08)Between appointments, healthcare providers have limited interaction with their patients, but patients have similar patterns of care. Medications have common side effects; injuries have an expected healing time; and so on. ...
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(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 ...
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(2023-03-28)Fluid phase behavior in shale reservoirs differs significantly from phase behavior in conventional reservoirs due to the strong interactions between fluid and boundary in nanopores. In this study, we applied equation-of-state ...
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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 ...
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(2023-06-13)Increasing demands in software industry and scarcity of software engineers motivates researchers and practitioners to explore avenues for automating various aspects of software engineering. Automated software generation ...
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(2016-08-17)Aircraft guidance is dependent on various sensors which provide information on speed, altitude and location with respect to both the ground and the surrounding air. The pitot static system, global positioning system (GPS) ...
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(2019-03-25)Inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF) and their corresponding computer simulations produce an immense amount of rich data. However, quantitatively interpreting that data remains ...
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(2021-07-27)For many years, high water-cuts in the Delaware basin have been the source of much frustration for oil and gas operators producing in the region. The goal of this thesis was to construct automated workflows which are capable ...