Browsing by Author "Braga-Neto, Ulisses"
Now showing items 21-40 of 55
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He, Kai (2020-07-01)Longitudinal studies that employ repeated measures by following particular individuals over periods of time allow researchers to assess the development/changes in the characteristics of the target populations at both the ...
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Rocha Coutinho, Emilio Jose (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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Chang, Yu-Bing (2012-07-16)In the field of craniomaxillofacial (CMF) surgery, surgical planning is an important and necessary procedure due to the complex nature of the craniofacial skeleton. Computed tomography (CT) has brought about a revolution ...
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Chen, Ting; Braga-Neto, Ulisses (EURASIP Journal on Advances in Signal Processing, 2010)
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Expectation-Maximization Based Mixture-Model Exploiting Pathway Knowledge for Cancer Heterogeneity Kapoor, Rajan (2017-05-08)Cancer cells are much more prone to mutations than normal cells, generating over time, more genetic variants of themselves within the tissue. Drugs designed for one variant might not work as intended for other variants. ...
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Song, Jianfeng (2019-10-30)High Efficiency Video Coding (HEVC) is also know as H.265 was first official introduced in 2013, it is one of the video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. ...
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Abante Llenas, Jordi (2016-04-26)Both deoxyribonucleic acid (DNA) and ribonucleic acid (RNA) play a crucial role in the existence and proper development of all living organisms. In addition, it is through these molecules that the genetic information is ...
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Dong, Yimai (2013-11-07)Utilities of distribution systems now are under the pressure of improving the reliability of power supply, not only from the urge to increase revenue, but also from requirements of their customers and the Independent Service ...
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Quamer, Waris (2023-08-02)Pronunciation learning is a significant aspect of second language (L2) acquisition, particularly for older learners who often struggle with acquiring a native-like accent. While vocabulary, grammar, and writing skills can ...
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Ardywibowo, Randy (2022-08-18)Artificial Intelligent and Machine Learning (AI/ML) systems have been widely adopted with the increasing availability of data in a variety of applications such as computer vision, activity recognition, autonomous driving, ...
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Vasanthakumari, Priyanka (2022-04-20)Accurate early diagnosis of malignant skin lesions is critical in providing adequate and timely treatment. Unfortunately, initial clinical evaluation of similarly looking benign and malignant skin lesions can result in ...
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Sun, Youting (2012-07-16)This dissertation is concerned with the application of mathematical modeling and statistical signal processing into the rapidly expanding fields of proteomics and genomics. The research is guided by a translational goal ...
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Noor, Amina (2012-10-19)This thesis considers the problem of learning the structure of gene regulatory networks using gene expression time series data. A more realistic scenario where the state space model representing a gene network evolves ...
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Kang, David Changjoon (2021-12-06)Contrast is an essential element of magnetic resonance imaging. Good contrast in an MR image is necessary to correctly differentiate between different tissue structures and make accurate diagnoses. However, objects with ...
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Liu, Fan (2018-11-06)Jasmonic Acid (JA) is one of the important substances that associates with stomatal closure under drought stress for maize. In this project, we performed multiple network analyses to identify the expression patterns of JA ...
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Ghane, Parisa (2022-07-27)In data-poor environments, it may not be possible to set aside a large enough test data set to produce accurate test-set error estimates. On the other hand, in modern classification applications where training is time and ...
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Medeiros Davi, Caio Cesar (2022-11-09)Nowadays, machine learning and deep learning are present in the most diverse types of applications. From such diversity, many particular designs, architectures, training methods were created, given the variety of applications ...
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Arshad, Osama Ali (2017-02-17)Cancer cells are known to exhibit atypical metabolic characteristics. While alterations in tumor cell metabolism are necessary for the sustained uncontrolled cell growth that characterizes cancer, it is also a vulnerability ...
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Karbalayghareh, Alireza (2019-06-12)Machine learning methods and algorithms working under the assumption of identically and independently distributed (i.i.d.) data cannot be applicable when dealing with massive data collected from different sources or by ...
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Rezaei Yousefi, Mohammadmahdi (2013-04-01)A basic issue for translational genomics is to model gene interactions via gene regulatory networks (GRNs) and thereby provide an informatics environment to derive and study effective interventions eradicating the tumor. ...