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Now showing items 61-67 of 67
COMPARISON OF CONDITION PREDICTION MODELS TO PRIORITIZE SEWER PIPE INSPECTIONS
(2023-08-31)
Over time, wastewater collection systems deteriorate, necessitating ongoing adjustments and the development of asset management frameworks by utility proprietors to maintain the performance of their assets. Any asset ...
Estimation of Suspended Sediment Concentration along the Lower Brazos River using Satellite Imagery and Machine Learning
(2023-08-23)
**Please note that the full text is embargoed until 8/1/2024** ABSTRACT: Suspended sediment transport in river basins is important for many water management planning activities to maintain safe drinking water for the ...
Characterizing Technology Impacts on Driving Behaviors, Crash Risks, and Infrastructure Performances
(2023-12-18)
**Please note that the full text is embargoed until 02/01/2026** In recent years, an increase in driver distraction appears due to the rise in smartphone usage and
the introduction of social media. Researchers put ...
MODEL OPTIMIZATION AND APPLICATIONS IN DEEP LEARNING
(2023-08-14)
Machine learning refers to a machine or an algorithm that draws experience from data. A certain pattern is found to build a model, which is used to solve real problems.
Deep learning, an important branch and extension ...
RISK ASSESSMENT OF REINFORCED CONCRETE SEWER PIPES UNDER EXTERNAL LOADING AND ADVERSE ENVIRONMENTAL CONDITIONS USING AN ADAPTIVE NEURO-FUZZY SYSTEM
(2023-12-06)
Failure of sewer mains poses a significant threat to the society, necessitating a robust risk assessment tool that integrates failure likelihood and associated consequences for effective prioritization of mitigation efforts. ...
AN INTELLIGENT MULTI-MODAL FRAMEWORK TOWARDS ASSESSING HUMAN COGNITION
(2023-11-10)
Cognition is the mental process of acquiring knowledge and understanding through thought, experience, and senses. Fatigue is a loss in cognitive or physical performance due to physiological factors such as insufficient ...
Lung cancer growth forecasting and classification models by machine learning using a novel 2D co-culture high throughput device
(2023-12-14)
**Please note that the full text is embargoed until 02/01/2025** Co-culture devices have commonly been used during in vitro experimentation to create therapeutic testing devices for lung cancer that more closely mimic the ...