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Now showing items 61-70 of 92
Memristor-Based Crossbar Applications in Machine Learning and Analog Circuit Design
(2023-04-09)
The shift to the AI/ML driven data processing resulted in a significant research demand in this field. Due to the inefficiency of the conventional computers, analog and mixed-signal data processing structures became feasible ...
A Study of Compression Methods and Their Applications to Large Geological Models
(2023-04-13)
The promise of deep learning is to discover rich hierarchical structure of the data that allows to circumvent manual feature extraction and engineering. In this study, we explore novel applications of the deep learning, ...
Assessing Ecosystem Service Benefits of Improved Soil Management Practices at the Field and Watershed Scales
(2023-04-21)
Poor soil management limits the soil functions of water infiltration and storage and enhances water and soil losses. Amidst recurring droughts and declining water availability, improved soil management practices such as ...
Confidence-Aware Physiological Parameter Estimation: A Case Study on Cuffless Blood Pressure Monitoring
(2023-04-21)
Non-invasive wearable devices introduce more convenient and fashionable alternatives for around-the-clock remote health monitoring at the beat-to-beat resolution throughout the varying contexts of patients’ daily activities ...
Federated Offline Reinforcement Learning
(2023-04-19)
Federated learning aims to solve a global optimization problem by collectively learning from a group of clients without sharing data they possess. In offline reinforcement learning, an agent aims to learn an optimal policy ...
Prediction of Defects Using Metadata Based on Associative Rule Analysis
(2023-04-28)
Identifying defects in a product’s security is a challenging task, despite the widespread publicity of vulnerabilities in the media and casual conversations. In reality, the process of assessing a product for security flaws ...
Understanding the Factors Affecting Safety of E-Scooter and Bicycle Users in Urban Environments: An Injury Severity Analysis Using Machine Learning and Natural Language Processing
(2023-05-10)
This study analyzes data from 153 e-scooter crashes extracted from the Crash Records Information System (CRIS) using text mining and 819 bicycle crashes from 2018 to 2021 obtained from the City of Austin. Natural language ...
Machine Learning-Based Multiscale Modeling and Control of Quantum Dot Manufacturing and Their Applications
(2023-06-05)
In the past few years, there has been a major impetus in the search for quantum dots (QDs), which are a type of semiconducting nanocrystals (NCs) with tunable optical and optoelectronic properties for next-generation ...
The Large-Scale Role of Rivers on the Coastal Biogeochemistry in the Northern Gulf of Mexico: A Data-Driven Approach
(2023-06-08)
The northern Gulf of Mexico (nGoM) is the destination of over 50 rivers, which are highly influenced by humans and includes the Mississippi River, the largest river in the US. This
project identified long-term regional ...
Learning-Based Automated Software Creation
(2023-06-13)
Increasing demands in software industry and scarcity of software engineers motivates researchers and practitioners to explore avenues for automating various aspects of software engineering. Automated software generation ...