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A Comprehensive Study of Drinking Water Coagulation with Aluminum Sulfate
Title
A Comprehensive Study of Drinking Water Coagulation with Aluminum Sulfate
Author
Alansari, Amir
Date Created
2021
Subjects--Topical
Civil engineering
Description
Coagulation is usually the first and most important step in conventional drinking water treatment processes. The efficiency of all downstream processes is directly dependent on the effectiveness of the coagulation stage. Coagulants such as aluminu...
A Contactless Non-Intrusive Approach for Machine Learning-Based Personalized Thermal Comfort Prediction
Title
A Contactless Non-Intrusive Approach for Machine Learning-Based Personalized Thermal Comfort Prediction
Author
Ashrafi, Roshanak
Date Created
2022
Subjects--Topical
Civil engineering, Sustainability, Building
Description
Indoor thermal environmental conditions play a significant role in protecting occupants’ well-being. In this regard, schedule-based and predefined environmental control is one of the main reasons for the current discomfort and dissatisfaction with...
Prediction of Defect Hotspots for Highway Maintenance Management: A Multi-asset Machine Learning Approach
Title
Prediction of Defect Hotspots for Highway Maintenance Management: A Multi-asset Machine Learning Approach
Author
Karimzadeh, Arash
Date Created
2020
Subjects--Topical
Civil engineering, Transportation, Artificial intelligence
Description
Given multiple budget and revenue constraints that the transportation sector encounters, predictive analytics enables maintenance agencies to make effective decisions, prioritize maintenance tasks, and provide efficient life-cycle planning. To thi...
Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Title
Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Author
Qiu, Bo
Date Created
2021
Subjects--Topical
Civil engineering, Transportation, Statistics
Description
Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Currently, the increasing availability of vehicle probe data has made the real-time travel time prediction a reality. The ...