Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 667 for “"learning approach"”.
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Empirical assembly planning: A learning approach
An assembly structure is a physical as well as a conceptual structure. Physically, an assembly structure is composed of individual components and their relationships. Conceptually, an assembly structure is hierarchically organized into subassemblies.
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Deep learning approach to metagenomic binning
… a convolutional neural network (CNN) based approach to metagenomic binning that embeds reads into a low-dimensional vector space based on taxonomic classification. We show that our method can get the speed and sensitivity necessary taxonomic classification. Our method was able to achieve 13% …
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MACHINE LEARNING APPROACH FOR EVAPORATION DUCT NOWCAST
… utilization of artificial intelligence/machine learning (AI/ML) algorithms to demonstrate the feasibility to nowcast (up to six-hour forecast) EDH/EDS while a naval vessel is underway. The tested AI/ML algorithms include linear regression, decision trees, random forest, and neural networks. …
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Biomedical name recognition: A machine learning approach
The purpose of this research is to automatically recognize names in biomedical documents. First, we analyze characteristics of biomedical names. Then, we propose a rich set of features, including orthographic, morphological, part-of-speech and semantic trigger features. All these features are …
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Identifying Valuable Patents: A Deep Learning Approach
… datasets of patents, we develop an AI deep learning methodology for the valuation of patents. To do that, we build a large USPTO dataset consisting of all granted patents from 1976-2019: (i) we collect, clean, collate and pre-process all the data from the USPTO (and the OECD patent quality …
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A learning approach to personalized information filtering
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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A reinforcement-learning approach to power management
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Structure guided image restoration : a deep learning approach
… vision research has been dominated by deep learning techniques in part due to advances in computing infrastructure, algorithms and image capturing devices. As a result, deep neural networks currently set the state-of-the-art in image restoration problems. However, many of these techniques …
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Deep learning approach to discontinuity-preserving image registration
… image volumes. Using recent developments in deep learning, we propose an unsupervised learning-based image registration model. This model is trained over a loss function with a custom regularizer that preserves local discontinuities while simultaneously respecting the smoothness assumption in …
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A Novel Deep Learning Approach for Emotion Classification
… results obtained demonstrate the validity of the approach.
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The transformation of teachers: an adult learning approach
… framework of Mezirow's concept of Transformative Learning. Survey research methodology was used. Frequency distributions, means, and standard deviation were calculated. Reliability analysis and Pearson 'r' correlations established the internal consistency of items It Cross tabulations to describe …
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An explanation-based learning approach to incremental planning
Planning is the task of finding a set of operators whose executive transforms the current world state into a world state which satisfies some goal criterion. Because many tasks involve focussed change of a world state, planning techniques are relevant to a wide variety of important AI tasks such as …
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A machine learning approach to crystal structure prediction
This thesis develops a machine learning framework for predicting crystal structure and applies it to binary metallic alloys. As computational materials science turns a promising eye towards design, routine encounters with chemistries and compositions lacking experimental information will demand a …
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Biomechanical Effects of Foot Orthotics: A Machine Learning Approach
… by orthotics, prompting the need for innovative approaches. This study, involving 20 participants prescribed custom foot orthotics, leveraged machine learning alongside conventional statistics to analyze biomechanical gait data. While both methods identified key variables such as ankle and knee …
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AMD, analysis of mood dysregulation : a machine learning approach
… This research presents a new automatic machine learning pipeline, called Analysis of Mood Dysregulation (AMD), which is used to assess mood or emotional dysregulation caused by underlying psychological disorders, environmental factors, and daily activities. The data is collected by unobtrusive …
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An SSVEP Brain-Computer Interface: A Machine Learning Approach
… signal, or by the introduction of machine learning techniques. With the help of machine learning methods, a BCI system can adapt to the user automatically. </p> <p>In this work, a machine learning approach is introduced to the design of an SSVEP based BCI. The following open problems have …
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