Browsing by Subject "machine learning"
Now showing items 1-20 of 107
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(2023-03-21)Downy mildew (caused by Plasmopara viticola) and Grey Mold (caused by Botrytis cinerea) are fungal diseases that significantly impact grape production globally. Cytochrome b plays a significant role in the mitochondrial ...
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(2022-01-11)Recent successes in the field of robot learning have combined reinforcement learning algorithms and deep neural networks. Yet, reinforcement learning has not been widely applied to robotics and real world scenarios. This ...
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(2023-04-13)The promise of deep learning is to discover rich hierarchical structure of the data that allows to circumvent manual feature extraction and engineering. In this study, we explore novel applications of the deep learning, ...
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(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 ...
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(2017-12-11)Full waveform (FW) and photon counting LiDAR (PCL) data have garnered greater attention due to increasing data availability, a wealth of information they contain and promising prospects for large scale vegetation mapping. ...
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(2017-05-08)Affect is the psychological display of emotion often described with three principal dimensions: 1) valence 2) arousal and 3) dominance. This thesis work explores the ability of computers to recognize human emotions using ...
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(2021-04-26)Recent research has shown Deep Neural Networks (DNNs) to be vulnerable to adversarial examples that induce desired misclassifications in the models. Such risks impede the application of machine learning in security-sensitive ...
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(2022-07-29)Trauma to the orbital region accounts approximately for 3% of all craniofacial injuries, with a mean hospitalization cost of US$ 35,500 per case. Management of orbital fractures is challenging as a substantial amount of ...
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(2022-07-26)Grassland comprises approximately 40.5% of terrestrial land area, which is around 5.25 billion ha in total. Grasslands are vital, multi-functional ecosystems for effective nutrient cycling, and habitat and forage for ...
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(2021-04-29)Microstructure of a material determines the transport, chemical and mechanical properties. Geological materials and geomaterials are imaged using microscopy tools. The microscopy images are analyzed to better understand ...
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(2020-05-22)Over the past few years, students have become increasingly unmotivated to read their assigned textbooks as an accompaniment to classroom lectures and activities. Reading the textbook is known to improve comprehension and ...
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(2023-04-21)Poor soil management limits the soil functions of water infiltration and storage and enhances water and soil losses. Amidst recurring droughts and declining water availability, improved soil management practices such as ...
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New theories and applications of deep learning have been discovered and implemented within the field of machine learning recently. The high degree of effectiveness of deep learning models span across many domains including ...
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(2020-07-23)Detection of memory performance bugs in microprocessors using a 2-phase automated method. The first phase is a machine-learning based performance predictor while the second phase is a bug detection scheme using a binary ...
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(2020-03-10)This thesis applies a subset of machine learning known as deep reinforcement learning (DRL) to the problem of steady state voltage control in the electric power transmission system. In support of this work, both a new ...
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(2021-12-03)In this dissertation, we propose novel Bayesian machine learning models to solve various graph analytics problems, including graph representation learning, graph generative modeling, structured semi-supervised learning, ...
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(2021-12-01)Intrusion detection systems (IDS) play a critical role in cybersecurity and are used to identify malicious behaviour in network traffic. The weakness of modern approaches is that they are reactive responses reliant on ...
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In recent decades, physicists developed ghost imaging, which is an alternative technique to the conventional imaging used everywhere by cameras. Ghost imaging was given its name because none of the light that reached the ...
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(2021-06-04)Distributed acoustic sensing (DAS) has been used in the oil and gas industry as an advanced technology for surveillance and diagnostics. Operators use DAS to monitor hydraulic fracturing activities, to examine well stimulation ...
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(2022-03-24)Cognitive fatigue is a pressing issue across multiple job domains, especially within safety critical systems, where fatigue-driven lapses in operator performance and behavior have resulted in costly errors. While the ...