Browsing by Author "Shen, Yang"
Now showing items 21-38 of 38
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Huffman, Maxwell A (2021-05-10)The digital technology age has created an unprecedented production and consumption of data. With this surge, data-analytics have become increasingly important in industries that can generate value based on predictive models: ...
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Maddouri, Omar (2022-08-17)With the rapid expansion of big data in all science and engineering domains, the potential that lays behind these massive data is undoubtedly significant. Leveraging such information in an optimal way requires innovative ...
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Vundavilli, Venkata Shirdi (2021-04-14)Cancer is a group of diseases characterized by abnormal cell growth. Old cells do not die and grow uncontrollably, forming a mass of tissue, called a tumor. In order to understand this abnormal cell growth, there have been ...
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Talukder, Arghamitra (2021-05-03)Protein-protein interactions (PPIs) often underlie important biological processes. Due to the vast quantity of potential PPIs in living organisms, it can be an expensive if not daunting task to identify each PPI experimentally, ...
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Saraf, Radhika (2020-03-26)The research outlined in this proposal has three objectives: (i) to model biological pathways involved in cancer using data and prior knowledge; (ii) to investigate the mechanism of action for drugs that are used in cancer ...
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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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Zhu, Shaowen (2019-07-18)In the research areas about proteins, it is always a significant topic to detect the sequencestructure-function relationship. Fundamental questions remain for this topic: How much could current data alone reveal deep ...
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Woo, Hyun-Myung (2022-07-07)Scientific discovery is the process of finding answers to scientific inquiries. Scientific discovery forms the basis of scientific/engineering applications as it serves as an operational objective or a means of achieving ...
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Adetimirin, Oreoluwa Emmanuel (2019-07-15)There is an increasing need to reduce the environmental impact from fossil fuel energy-generating sources. Carbon capture is a potential pathway for reducing CO2 emissions from stationary sources. Carbon capture is an ...
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Cao, Yue (2021-12-08)Proteins are the workhorse molecules of lives. Understanding how proteins function is one of the most fundamental problems in molecular biology, which can drive a plethora of biological and pharmaceutical applications. ...
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Apaydin, Meltem (2021-04-05)In many real-world applications, decision-making often has a nested structure with interactions among involved parties. Bilevel optimization provides a useful tool to formulate these problems to render effective solutions. ...
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Yuan, Ye (2020-07-24)Re-identification (ReID) has been one of the most intensively studied problems in computer vision and finds extensive applications in multi-camera systems such as for public safety, indoor/outdoor monitoring, and smart ...
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Luo, Chenjie (2019-11-12)Internet of Things (IoT) is a system of interrelated digital devices such as home appliances which could connect, communicate and exchange data with each other. In the past ten years IoT has become an extensively studied ...
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Cui, Zhicheng (2021-04-12)Nearly half of clinically used antibiotics target ribosome, the vital translational machinery for bacterial survival. In this dissertation, we studied the translational regulation and antibiotic resistance in Mycobacterium ...
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Wu, Di (2018-11-30)Residue coevolution refers to a biological assumption that residue pairs covary during evolution if they form a contact within a protein or across a protein-protein interface. Under this assumption, such covariance can be ...
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Liu, Yi (2022-07-05)In machine learning, real-world objects such as molecules and proteins are naturally formulated as graphs. Two types of information are vital for graph representation learning; those are, topology information and position ...
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Wu, Zhenyu (2021-09-02)Video understanding aims to automatically detect objects of interest from videos and recognize the scene, actions, content, or attributes. Some well-known tasks defined on videos include human action recognition, human ...