Search Results - "Philip, Babitha"

Time-series forecasting of road distress parameters using dynamic Bayesian belief networks by Philip, Babitha, AlJassmi, Hamad

“…Purpose To proactively draw efficient maintenance plans, road agencies should be able to forecast main road distress parameters, such as cracking, rutting,…”
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A Bayesian decision support system for optimizing pavement management programs by Philip, Babitha, AlJassmi, Hamad

“…Over time, the pavement deteriorates due to traffic and the environment, resulting in poor riding quality and structural inadequacies. Evaluating pavement…”
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Towards self-recovering construction schedules: a new method for periodically updating project plans and optimizing recovery actions by AlJassmi, Hamad, Abduljalil, Yusef, Philip, Babitha

“…It is common for a construction schedule to deviate from its original-planned baseline, as uncertainty is inherent in all construction activities. Accordingly,…”
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A Bayesian Approach towards Modelling the Interrelationships of Pavement Deterioration Factors by Philip, Babitha, Jassmi, Hamad Al

“…In this study, Bayesian Belief Networks (BBN) are proposed to model the relationships between factors contributing to pavement deterioration, where their…”
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ASENN: attention-based selective embedding neural networks for road distress prediction by Philip, Babitha, Xu, Zhenyu, AlJassmi, Hamad, Zhang, Qieshi, Ali, Luqman

“…This study proposes an innovative neural network framework, ASENN (Attention-based Selective Embedding Neural Network), for the prediction of pavement…”
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E-happiness physiological indicators of construction workers' productivity: A machine learning approach by Al Jassmi, Hamad, Ahmed, Soha, Philip, Babitha, Al Mughairbi, Fadwa, Al Ahmad, Mahmoud

“…Worker productivity is a major concern for the construction industry. Many studies assessed the effect of various factors, such as the work environment and…”
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Towards a consensus of expected Student-Advisor responsibilities in Engineering Capstone Projects by Aljassmi, Hamad, Philip, Babitha, Ali, Luqman, Krishnan, Salini

“…To deal with the complexity of today's engineering demands, leading universities intend to investigate educational advances and facilities to provide students…”
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AGA-RFNN: Adaptive Genetic Algorithm-based Random Forest Neural Network for Pavement Deterioration Prediction by Xu, Zhenyu, Meng, Lenian, Zhang, Qieshi, Cheng, Jun, Philip, Babitha, AlJassmi, Hamad, Yang, Zhiyong

“…Pavement deterioration prediction is an important task of road inspection mobile robots. Tree-based deep learning models perform well in this prediction but…”
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