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Skip to Search Results- 9Machine learning
- 2Proteins
- 13D structure
- 13D structure prediction
- 1Alarm flood monitoring
- 1Big Data
- 1Alinezhad, Haniyeh Seyed
- 1Araya, Ruben
- 1Meng, Fanchi
- 1Mizianty, Marcin J
- 1Mohammadian, Amirhossein
- 1Nashaat Ali Elmowafy, Mona
- 2Kurgan, Lukasz (Electrical and Computer Engineering)
- 1Backhouse, Christopher J. (Electrical and Computer Engineering)
- 1Chen, Tongwen (Electrical and Computer Engineering)
- 1Miller, James (Electrical & Computer Engineering)
- 1Mrinal, Mandal ( Electrical and Computer Engineering)
- 1Niu, Di (Department of Electrical and Computer Engineering)
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Fall 2023
Monitoring industrial processes is essential to maintain efficient and safe operation. An alarm system is an imperative component of industrial process monitoring, as it alerts operators to abnormal conditions. Alarms indicate when the process is disrupted, which allows operators to react...
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Fall 2017
Massive amounts of user behavior logs and sensor data are generated on mobile devices, which can help to improve the usability of social media apps and other intelligent apps. However, collecting such personal data may spark privacy and legal concerns. Recently, many efforts in both academia and...
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Fall 2009
The analysis of wide-angle cellular light scattering patterns is a challenging problem. Small changes to the organization, orientation, shape, and optical properties of scatterers and scattering populations can significantly alter their complex two-dimensional scattering signatures. Because of...
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Computational support systems for prediction and characterization of protein crystallization outcomes
DownloadFall 2013
Analysis of protein structures may reveal their function, regulation and interactions. Almost 90% of the known protein structures were solved using X-ray crystallography; however, many more structures remain unsolved. Protein Structure Initiative (PSI) project was created to speed up structure...
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Developing and Evaluating Algorithms for Fixing Omission and Commission Errors in Structured Data
DownloadFall 2020
The use of machine learning is rapidly rising to deliver a variety of benefits in various domains. However, developing predictive systems often faces many challenges that can drastically delay model deployment. For instance, obtaining labeled training data is one of the most expensive bottlenecks...
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Spring 2018
Intrinsically disordered regions (IDRs) in proteins lack stable three dimensional structure under physiological conditions. IDRs are prevalent in nature, functionally important, and difficult to characterize experimentally due to their unstructuredness. As a result, many computational methods...
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Fall 2021
Salah Mohammed Awad AL-Heejawi
The histopathological examination of tissue biopsies is used as the gold standard by pathologists for diagnosing skin cancers, such as melanoma. Traditionally, the histopathological slides are examined by clinicians under a microscope. With recent advances in digital imaging and scanning, a glass...
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Fall 2018
Multiple studies have reported results of activities focused on development of different algorithms for prognosis of failures of apparatuses and machines. Failure prediction allows to schedule maintenance activities, increase productivity, and decrease inventory of spare parts. Construction of...
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Spring 2022
The fifth-generation (5G) and beyond wireless networks aim to increase the current data rates to more than 10 Gbit/s. Thus, the spectrum crunch necessitates increasing spectral efficiency (SE). Key non-orthogonal technologies for this goal are (I) full-duplex wireless, (II) generalized...