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Hydrologic peak flow modelling using machine learning
(2020-12-18)
The effect of rainfall spatial variability on catchment responses during floods remains poorly understood. The overall objective of this work is to develop a robust understanding of how rainfall spatial variability influences ...
Visibility Estimation from Camera Images Using Deep Learning
(2023-08-04)
Atmospheric visibility is an important and complex meteorological variable that directly affects safe and reliable transportation. Specifically, declining visibility can pose an increased risk to automotive, aviation, and ...
Correcting, Improving, and Verifying Automated Guidance in a New Warning Paradigm
(2018-05-11)
The prototype Probabilistic Hazards Information (PHI) system allows forecasters to experimentally issue dynamically evolving severe weather warning and advisory products in a testbed environment, providing hypothetical end ...
A Data-Driven Approach For Monitoring And Predictive Diagnosis Of Sucker Rod Pump System
(2022)
Given its long operational history, a sucker-rod pump (SRP) has been widely utilized as a lifting solution to bring reservoir fluids to the surface with low cost and high efficiency. However, debugging the rod pump issues ...
Question-Answering for Segment Retrieval on Podcast Transcripts
(2022-08)
Podcasting has rapidly ascended as one of the primary forms of spoken-word media in
the 21st century. The Spotify Podcast Dataset has compiled transcripts of over 100,000
podcast episodes, making it one of the largest ...
Applied High-Order Singular Value Decomposition for Weight Compression and Expansion in Deep Neural Networks
(2019-08)
Complex deep learning objectives such as object detection and saliency, semantic segmentation, sequence-to-sequence translation, and others have given rise to training processes requiring increasing amounts of time and ...
Application of seismic attributes and unsupervised machine learning methods for identification of hidden faults in basement and carbonate rocks
(2023-12-15)
Seismic fault interpretation is a critical task for any type of energy industry and correct fault mapping can be crucial for the success of a project. Common geometric seismic attributes such as coherence and curvature are ...
Seismic-based characterization of a carbonate gas storage reservoir assisted by machine learning techniques
(2021)
Silurian pinnacle reefs found within the Michigan Basin were prolific hydrocarbon producers in the mid-to-late twentieth century. During production, studies over these complex reservoirs were primarily focused on facies ...
Kidney OCT 3D images classification using machine learning
(2023-12-15)
The goal of this research is to make a classification program for 3D images by using a CNN model. The images to classify are kidney images that have 3 different classes: Pelvis, Medulla and Cortex.
To do so, a data ...
Relevance and Privacy Improvements to the YaCy Decentralized Web Search Engine
(2018)
The YaCy decentralized web search engine carries significant potential advantages in censorship resistance over centralized search engines such as Google. However, YaCy currently suffers from deficiencies in relevance of ...