Hyperautomation for air quality evaluations: A perspective of evidential three-way decision-making
J Ding, C Zhang, D Li, AK Sangaiah - Cognitive Computation, 2024 - Springer
Hyperautomation acts as a real digital transformation with the support of several cutting-
edge cognitive computation methods that include robotic process automation, natural …
edge cognitive computation methods that include robotic process automation, natural …
Sustainability-informed multi-criteria decision support framework for ranking and prioritization of pavement sections
Ranking and prioritizing pavement infrastructure for maintenance and rehabilitation have
become major undertakings for several departments of transportation around the globe. This …
become major undertakings for several departments of transportation around the globe. This …
[HTML][HTML] Predicting pavement condition index based on the utilization of machine learning techniques: A case study
Pavement management systems (PMS) are used by transportation government agencies to
promote sustainable development and to keep road pavement conditions above the …
promote sustainable development and to keep road pavement conditions above the …
[HTML][HTML] Building resilience: A holistic approach for revitalizing existing infrastructure assets
This presented research delves into the challenges and approaches encompassed in
allotting available resources for the maintenance and renovation of crucial infrastructure …
allotting available resources for the maintenance and renovation of crucial infrastructure …
[HTML][HTML] Automated data-driven condition assessment method for concrete bridges
A Omar, O Moselhi - Automation in Construction, 2024 - Elsevier
This paper addresses the challenge of automating data-driven condition assessments for
concrete bridges, hindered by limited data availability. The developed method consists of (1) …
concrete bridges, hindered by limited data availability. The developed method consists of (1) …
[HTML][HTML] Predictive models for flexible pavement fatigue cracking based on machine learning
Pavement performance prediction is crucial for ensuring the longevity and safety of road
networks. In our extensive study, we employ a diverse array of techniques to enhance …
networks. In our extensive study, we employ a diverse array of techniques to enhance …
[HTML][HTML] Using e-bikes and private cars in dynamic road pavement monitoring
The high cost and time involved with traditional road pavement monitoring approaches as
well as the high costs of pavement monitoring equipment necessitate the need for …
well as the high costs of pavement monitoring equipment necessitate the need for …
[HTML][HTML] Pavement damage identification and evaluation in UAV-captured images using gray level co-occurrence matrix and cloud model
J He, L Shao, Y Li, K Wang, W Liu - … of King Saud University-Computer and …, 2023 - Elsevier
In the road structure, the pavement is in direct contact with the wheel, and its daily
maintenance is very important. Traditional pavement damage detection relies heavily on …
maintenance is very important. Traditional pavement damage detection relies heavily on …
Priority ranking of road pavements for maintenance using analytical hierarchy process and VIKOR method
Pavement maintenance and rehabilitation to provide the desired level of service for the road
users is the most challenging problem faced by the authorities. The development of a …
users is the most challenging problem faced by the authorities. The development of a …
A dynamic framework for contractors to measure the performance of highway maintenance based on grey theory
Highway maintenance performance measurement is the key to implementing performance-
based contracting (PBC). However, contractors have struggled with accurately …
based contracting (PBC). However, contractors have struggled with accurately …