Mehdi Assefi

Mehdi Assefi
University of Georgia | UGA · Department of Computer Science

Doctor of Philosophy

About

21
Publications
44,152
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1,282
Citations
Introduction

Publications

Publications (21)
Article
Full-text available
Cloud-based speech recognition systems enhance Web surfing, transportation, health care, etc. For example, using voice commands helps drivers search the Internet without affecting traffic safety risks. User frustration with network traffic problems can affect the usability of these applications. The performance of these type of applications should...
Conference Paper
Full-text available
Every single day, a large amount of text data is generated by different medical data sources, such as scientific literature, medical web pages, health related social media posts, clinical notes, and drug reviews. Processing this data in an efficient manner is a really daunting task without the help of clever computational strategies, and it makes t...
Conference Paper
Full-text available
Artificial intelligence, and particularly machine learning, has been used in many ways by the research community to turn a variety of diverse and even heterogeneous data sources into high quality facts and knowledge, providing premier capabilities to accurate pattern discovery. However, applying machine learning strategies on big and complex datase...
Conference Paper
Full-text available
The number and variety of Web APIs is growing exponentially. Software engineers need to expend a significant amount of time and effort reading and understanding the accompanying documentation. In addition, system automation may use API to interact with each other. However, this is not always a simple task since the API documentation of a provider c...
Conference Paper
Full-text available
The number of web APIs is growing rapidly. API adoption is increasing across all industries with executives prioritizing investments in the API economy. Each API provider offers API documentation which includes complex descriptions. In order to collect and understand the applications and operations of diverse APIs, software engineers read lengthy a...
Preprint
Full-text available
Osteoarthritis (OA) is the most prevalent chronic joint disease worldwide, where knee OA takes more than 80% of commonly affected joints. Knee OA is not a curable disease yet, and it affects large columns of patients, making it costly to patients and healthcare systems. Etiology, diagnosis, and treatment of knee OA might be argued by variability in...
Patent
Full-text available
A method of machine learning may include receiving an API documentation including an endpoint and corresponding metadata. The method may include receiving a verified API specification including a verified endpoint. The method may include comparing the endpoint to the verified endpoint. The method may include classifying the metadata. The metadata m...
Patent
Full-text available
A computer-implemented method predicting a life span of a battery storage unit by employing a deep neural network is presented. The method includes collecting energy consumption data from one or more electricity meters installed in a structure, analyzing, via a data processing component, the energy consumption data, removing one or more features ex...
Conference Paper
Full-text available
Accurate modeling of battery capacity degradation is an important component for both battery manufacturers and energy management systems. In this paper, we develop a battery degradation model using deep learning algorithms. The model is trained with the real data collected from battery storage solutions installed and operated for behind-the-meter c...
Conference Paper
Full-text available
The study of adverse vaccine reactions (AVRs) as either mild or serious complications, has been a longstanding topic in biomedical literature. In recent years, a vast amount of scientific articles have been published on a daily basis, however, the use of this wealth of data for adverse vaccine reaction analyses has been very limited so far, and lit...
Article
Full-text available
The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. Therefore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extracting meaningful information from...
Article
Full-text available
In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. In this review, the main approaches to automatic text summarization are described. We review the different processes for sum...
Preprint
In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. In this review, the main approaches to automatic text summarization are described. We review the different processes for sum...
Article
Full-text available
The goals of the Triple Aim of health care and the goals of P4 medicine outline objectives that require a significant health informatics component. However, the goals do not provide specifications about how all of the new individual patient data will be combined in meaningful ways and with data from other sources, like epidemiological data, to prom...
Article
Full-text available
Optical character recognition (OCR) as a classic machine learning challenge has been a longstanding topic in a variety of applications in healthcare, education, insurance, and legal industries to convert different types of electronic documents, such as scanned documents, digital images, and PDF files into fully editable and searchable text data. Th...
Conference Paper
Optical character recognition (OCR) as a classic machine learning challenge has been a longstanding topic in a variety of applications in healthcare, education, insurance, and legal industries to convert different types of electronic documents, such as scanned documents, digital images, and PDF files into fully editable and searchable text data. Th...
Conference Paper
Full-text available
Abstract—We perform an experimental evaluation of two popular cloud-based speech recognition systems. Cloud-based speech recognition systems enhances Web surfing, transportation, health care, etc. Using voice commands helps drivers stay connected to the Internet by avoiding traffic safety risks. The performance of these type of applications should...

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