Browsing Programs, Centers, and Institutes by Subject "machine learning"
Now showing items 1-15 of 15
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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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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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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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A key aspect of 3D animation is physics based simulation. To create realistic animations for objects such as cloth and fabric, a category of mathematical models known as softbody simulations are used. There are a wide ...
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(2021-04-26)The existing electric grid is transitioning to a smart grid with increased penetration of distributed energy resources (DERs), such as photovoltaic (PV) units, battery storage units, electric vehicles (EV), and EV chargers. ...
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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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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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(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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Modern microprocessors are more and more optimized for speed and power efficiency. A system that regulates these parameters is Dynamic Voltage and Frequency Scaling (DVFS). Generally, all bugs or errors in a microarchitecture ...
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Line-based musculoskeletal simulation is important in both computer graphics and biomechanics research. Software such as OpenSim can provide simulations of musculoskeletal dynamics and neural control where it would be ...
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While congenital facial deformities are not rare, and surgeons typically perform operations to improve these deformities, currently the success of the surgical reconstruction operations can only be “measured” subjectively ...
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(2018-04-26)The research area on the detection and classification of distracted driving is growing in importance as in-vehicle information systems such as navigation and entertainment displays, which introduce sources of distraction ...
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(2019-05-02)Currently, the United States is a major supplier in the world peanut market. Using grower level monthly peanut price data from 1982-2018, this study estimates market integration and price discovery patterns among grower ...
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(2015-09-23)Autonomous travel poses challenges in machine learning navigation. Different approaches have been considered, such as reinforcement learning, dynamic programming methodologies, and other artificial intelligence assisted ...
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Reinforcement learning (RL) is a state-of-the-art approach to solving sequential decision-making problems in stochastic environments. However, most model-free RL algorithms only produce one action at each timestep. That ...