Browsing Civil and Environmental Engineering by Subject "machine learning"
Now showing items 1-5 of 5
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A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
( MDPI , 2022 , Article)Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ... -
Machine Learning-Based Flexural Capacity Prediction of Corroded RC Beams with an Efficient and User-Friendly Tool
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Steel corrosion poses a serious threat to the structural performance of reinforced concrete (RC) structures. Thus, this study evaluates the flexural capacity of RC beams through machine learning (ML)-based techniques with ... -
PREDICTING ROAD ROUGHNESS PROFILE USING DYNAMIC VEHICLE ACCELERATIONS AND ARTIFICIAL NEURAL NETWORKS
( Society of Acoustics , 2022 , Conference Paper)Road roughness can cause ride discomfort and contribute to the emission of ground-borne noise and vibration. A robust monitoring regime of road roughness is essential for the efficient maintenance of a country's road ... -
Predictive Machine Learning Algorithms for Metro Ridership Based on Urban Land Use Policies in Support of Transit-Oriented Development
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The endeavors toward sustainable transportation systems are a key concern for planners and decision-makers where increasing public transport attractiveness is essential. In this paper, a machine-learning-based predictive ...