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Full-Text Articles in Computer Sciences
The Role Of Machine Learning And Network Analyses In Understanding Microbial Composition In An Experimental Prairie, Ali Eastman Oku
The Role Of Machine Learning And Network Analyses In Understanding Microbial Composition In An Experimental Prairie, Ali Eastman Oku
Graduate Research Theses & Dissertations
Machine learning and network analyses are powerful modern tools can process and map out connections between large amount of ecological data from complex environmental communities. Random forests, an ensemble machine learning algorithm, are particularly powerful as they can capture complex patterns in data while remaining easily interpretable. These tools are specifically useful in experimental settings where different types of data are collected. The aim of this study was to demonstrate the utility of machine learning models and network analyses at analyzing diverse ecological data from dynamic plant-soil microbial communities in a prairie ecosystem. Our experimental system is an experimental prairie …
Artificial Intelligence In The Medical Field: Medical Review Sentiment Analysis, Nicholas Podlesak
Artificial Intelligence In The Medical Field: Medical Review Sentiment Analysis, Nicholas Podlesak
Honors Capstones
In this research project, natural language processing techniques’ ability to accurately classify medical text was measured to reinforce the relevance of artificial intelligence in the medical field. Sentiment analyses (analyses to determine whether the text was positive or negative) were performed on the prescription drug reviews in an open-source dataset using four different models: lexical, a neural network, a support vector machine, and a logistic regression model. Each model’s effectiveness was gauged by its ability to correctly classify unlabeled drug reviews (i.e., a percentage representing accuracy). The machine learning models were able to accurately classify the text, while the lexical …
Covidalert - A Wristwatch-Based System To Alert Users From Face Touching, Mrinmoy Roy
Covidalert - A Wristwatch-Based System To Alert Users From Face Touching, Mrinmoy Roy
Graduate Research Theses & Dissertations
Worldwide 219 million people have been infected and 4.5 million have lost their lives in ongoing Covid-19 pandemic. Until vaccines became widely available, precautions and safety measures like wearing masks, physical distancing, avoiding face touching were some of the primary means to curb the spread of virus. Face touching is a compulsive human behavior that can not be prevented without constantly making a conscious effort, even then it is inevitable. To address this problem, we have designed a smartwatch-based solution, CovidAlert, that leverages Random Forest algorithm trained on accelerometer and gyroscope data from the smartwatch to detect hand transition to …
Modeling The Broader Impact Of Science And Health Using Social Media, Abdul Rahman Shaikh
Modeling The Broader Impact Of Science And Health Using Social Media, Abdul Rahman Shaikh
Graduate Research Theses & Dissertations
Research and development have always initiated innovation and breakthroughs in technology. These technological advancements in recent years have provided a global medium for research to be disseminated through online platforms. These web-based platforms and the interactions that take place on them affect the dissemination, impact, and perception of online information. This thesis investigates the broader impact of science and health using social media posts, online patents, videos, and images by building machine learning and topic models. First, this study predicts patent citations to scientific research and identifies important factors essential to economic impact. We found that the citation of research …
A Machine Learning Approach To Intended Motion Prediction For Upper Extremity Exoskeletons, Justin Berdell
A Machine Learning Approach To Intended Motion Prediction For Upper Extremity Exoskeletons, Justin Berdell
Graduate Research Theses & Dissertations
A fully solid-state, software-defined, one-handed, handle-type control device built around a machine-learning (ML) model that provides intuitive and simultaneous control in position and orientation each in a full three degrees-of-freedom (DOF) is proposed in this paper. The device, referred to as the “Smart Handle”, and it is compact, lightweight, and only reliant on low-cost and readily available sensors and materials for construction. Mobility chairs for persons with motor difficulties could make use of a control device that can learn to recognize arbitrary inputs as control commands. Upper-extremity exoskeletons used in occupational settings and rehabilitation require a natural control device like …
Forecasting Bitcoin, Ethereum And Litecoin Prices Using Machine Learning, Sai Prabhu Jaligama
Forecasting Bitcoin, Ethereum And Litecoin Prices Using Machine Learning, Sai Prabhu Jaligama
Graduate Research Theses & Dissertations
This research aims to predict the cryptocurrencies Bitcoin, Litecoin and Ethereum using Time Series Modelling with daily data of closing price from 16th of October 2018 to 9th of September 2021for a total of 1073 days. Augmented Dickey Fuller test was first used to check stationarity of the time series, then two forecasting algorithms called ARIMA, and PROPHET were used to make predictions. The findings show similar results for both the models for each of Bitcoin, Ethereum and Litecoin. The results achieved show modelling cryptocurrencies which are volatile using a single variable produces satisfying results.
Log Analysis And Visualization Of Hpc Application Performance Data, Ryan David Lewis
Log Analysis And Visualization Of Hpc Application Performance Data, Ryan David Lewis
Graduate Research Theses & Dissertations
High-performance computing (HPC) resources at facilities such as Argonne National Laboratory's Leadership Computing Facility (ALCF) enable a wide array of scientific experiments and research applications. In day-to-day operation, these platforms collect copious amounts of system, performance, and debugging logs, capturing data about how jobs, individual tasks, and the system as a whole, operate and perform. This thesis builds on previous efforts to examine how these logs can be used to better understand user and application behavior and system resource usage, in addition to demonstrating machine-learning-based (ML-based) techniques for characterizing applications and predicting job behavior using log data. Five datasets collected …
Cnn-Based Speed Detection Algorithm For Walking And Running Using Wrist-Worn Wearable Sensors, Venkata Devesh Reddy Seethi
Cnn-Based Speed Detection Algorithm For Walking And Running Using Wrist-Worn Wearable Sensors, Venkata Devesh Reddy Seethi
Graduate Research Theses & Dissertations
In recent years, there have been a surge in ubiquitous technologies such as smartwatches and fitness trackers that can track human physical activities effortlessly. These devices have enabled common citizens to track their physical fitness and encourage them to lead a healthy lifestyle. Among various exercises, walking and running are the most common activities people do in everyday life, either through commute, exercise, or by doing household chores. While performing these activities, the speed at which a person walks and runs is an essential factor to determine the intensity of activity. Therefore, it is important to measure walking/running speed to …
An Automated Method For Detecting Water Levels Using Computer Vision And Artificial Intelligence, Priyanjani Chowdary Chandra
An Automated Method For Detecting Water Levels Using Computer Vision And Artificial Intelligence, Priyanjani Chowdary Chandra
Graduate Research Theses & Dissertations
Flooding is one of the most dangerous weather events today. Between 2015-2019, on average, it has caused more than 130 deaths every year in the USA alone. World Health Organization has reported that, between 1998-2017, floods have affected more than 2 billion people worldwide. The devastating nature of flood necessitates the continuous monitoring of water level in the rivers and streams in flood-prone areas to detect the incoming flood. In this thesis, we have designed and implemented a computer vision and AI-based system that continuously detect the water level in the creek. Our solution employs an effective template matching algorithm …
Exploring Cyber-Physical Systems, Misbah Uddin Mohammed
Exploring Cyber-Physical Systems, Misbah Uddin Mohammed
Graduate Research Theses & Dissertations
The advances in IOT, Computer Vision, AI and Machine Learning have made these technologies ubiquitous to our daily lives. From Smart Phones to Connected Vehicles, Cyber Physical systems have been interspersed into everything we interact in today’s world. The aim or this thesis was to explore these advances in Cyber Physical Systems and analyze the different sectors they were affecting. We then hand-picked certain domains and explored further by carrying out practical projects using some of the latest software and hardware resources available. Technologies like Amazon Alexa services, NVIDIA Jetson boards, TensorFlow, OpenCV, NodeJS were heavily employed in our various …