Given the great advancements in soft computing and data science, artificial neural network (ANN) has been explored applied to handle complicated problems field of pavement engineering. This study conducted a state-of-the-art review for surveying recent progress ANN application at different stages engineering, including design, construction, inspection monitoring, maintenance. focused on papers ...

Millions of people are dying, and billions properties damaged by road traffic accidents each year worldwide. In the case our country Ethiopia, effect is even more causing injuries, death, property damage. Forecasting accident predicting severity contributes a role indirectly in reducing accidents. This study deals with forecasting number prediction an Oromia Special Zone using deep artificial n...

Organic food consumption has become a significant trend in consumer behaviour, determined by various motives, among which the price does not play major role, thus reflecting Lancaster approach to microeconomic theory. Additionally, artificial neural networks (ANNs) have proven potential providing accurate and efficient models for predicting behaviour. Considering these two trends, this study ai...

In fishery aquaculture, water quality directly determines the economic benefits of aquatic products, and dissolved oxygen is an important factor affecting quality. To accurately grasp trends variation in oxygen, a concentration forecasting model based on enhanced clustering algorithm Adam with radial basis function neural network (ECA-Adam-RBFNN) proposed. An (ECA) combining K-means ant colony ...

Traffic accidents occur due to a combination of factors that lead casualties and injuries. By identifying the most effective factors, it is possible for safety authorities provide appropriate solutions decreasing accident severity implementing preventive measures. The aim this research was present models predict on two-lane two-way (TLTW) rural highways in Iran over one-year period from 2019 20...

As the influence of extreme climate and human engineering activities intensifies, land subsidence frequently occurs in Salt Lake area Qinghai Province, China, which seriously threatens stability UHV transmission line crossing area. Current susceptibility analyses disasters have mostly focused on classification ignored differentiation among different intensities. Therefore, map does not meet ope...

This paper describes how the multilayer perceptron neural network (MLPNN) trained by Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-newton back-propagation approach was used to estimate heavy metal concentrations: Aluminum (Al), Lead (Pb), Copper (Cu), and Iron (Fe), in province of Taza using sixteen physicochemical factors measured from 100 samples collected surface water sources our team, acco...

Background Iron is abundant on earth but not readily available for colonizing bacteria due to its low solubility in the human body. Hosts and microbiota compete fiercely iron. <15% Supplemented absorbed small bowel, remaining iron a source of dysbiosis. The gut microbiome signatures level predicting anemia among low-middle-income populations are unknown. present study was conducted ident...

Determine the stable channel geometry of the river is one of the most important topics in river engineering. Various relationships (based on statistical and theoretical methods) to predict the stable channels dimensions are expressed by many scientists. In this study, three Support Vector Machines (SVM) models are designed to predict width (w), depth (h) and slope (s) of stable channel. 85 cros...