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2. AI-based cloud computing application for smart earthmoving operations.
3. A hybrid method for short-term freeway travel time prediction based on wavelet neural network and Markov chain.
4. Prediction of soil-water characteristic curves using two artificial intelligence (AI) models and AI aid design method for sands.
5. Estimating lateral placement and lane indiscipline of urban mixed traffic of a developing country: an ANN-assisted approach.
6. Forecasting primary delay recovery of high-speed railway using multiple linear regression, supporting vector machine, artificial neural network, and random forest regression1.
7. Complete periodic adaptive antisynchronization of memristor-based neural networks with mixed time-varying delays.
8. Investigation of significant inputs for pavement rehabilitation design in the Pavement-ME.
9. Predictive map of soil texture classes using decision tree model and neural network with features of geomorphology level.
10. Application of a probabilistic neural network in radial velocity curve analysis of the spectroscopic binary stars PV Pup, BV Dra, AI Phe, V1130 Tau, NSV 223, and V502 Oph.
11. New results of robust stability analysis for neutral-type neural networks with time-varying delays and Markovian jumping parameters.
12. Artificial neural network model for deflection analysis of superelastic shape memory alloy reinforced concrete beams.
13. Synchronization criterion for linearly coupled neural networks with impulsive time window.
14. Forecasting breaks in cast iron water mains in the city of Kingston with an artificial neural network model.
15. Investigating the role of weight update functions in developing artificial neural network modeling of retention times of furan and phenol derivatives.
16. Statistical vehicle classification methods derived from girder strains in bridges.
17. Artificial neural network application for the prediction of ground surface movements induced by shield tunnelling.
18. Intelligent computing for modeling axial capacity of pile foundations.
19. Performance of artificial neural networks and discriminant analysis in predicting fishing tactics from multispecific fisheries.
20. Predicting the dynamic properties of glyben using a modular neural network (MNN).
21. Advanced approaches to hot-mix asphalt dynamic modulus prediction.
22. Neural-network-based cycle length design for real-time traffic control.
23. Backcalculation of pavement layer moduli from falling weight deflectometer data using an artificial neural network.
24. A new genetic programming model for predicting settlement of shallow foundations.
25. An integrated methodology for collecting, classifying, and analyzing Canadian construction court cases.
26. Optimization of data collection needs for manual and automated network-level pavement condition ratings based on transverse variability and neural networks.
27. Suspended sediment prediction using two different feed-forward back-propagation algorithms.
28. Pullout capacity of small ground anchors by direct cone penetration test methods and neural networks.
29. A neural network model for predicting maximum shear capacity of concrete beams without transverse reinforcement.
30. Modeling uncertainty with an integrated simulation system.
31. Neural network based stochastic design charts for settlement prediction.
32. A digital face mapping case study in an underground hard rock mine.
33. Efficiency of pile groups installed in cohesionless soil using artificial neural networks.
34. Introduction to the use of wavelet multiresolution analysis for intelligent structural health monitoring.
35. Conceptual cost estimation of building projects with regression analysis and neural networks.
36. Neural networks for the inversion of soil surface parameters from synthetic aperture radar satellite data.
37. Neural network approach to model the limit state surface for reliability analysis.
38. Mapping environmental conditions in the St. Lawrence River onto ice parameters using artificial neural networks to predict ice jams.
39. A neural network framework for mechanical behavior of unsaturated soils.
40. Introduction.
41. Drinking water quality and treatment: the use of artificial neural networks.
42. Part 1: Artificial neural network theory / Partie 1 : la théorie des réseaux neuronaux artificiels - Internal workings of feed-forward neural networks.
43. AN INTELLIGENT SPATIAL PROXIMITY SYSTEM USING NEUROFUZZY CLASSIFIERS AND CONTEXTUAL INFORMATION.
44. PREDICTION OF TRAFFIC COUNTS USING STATISTICAL AND NEURAL NETWORK MODELS.
45. The role of spatial scale in drought monitoring and early warning systems: a review.
46. Classification of surface pavement cracks as top-down, bottom-up, and cement-treated reflective cracking based on deep learning methods.
47. Integrating model tree and modified stepwise regression in concrete slump prediction and steel fabrication estimating.
48. Developing SonReb models to predict the compressive strength of concrete using different percentage of recycled brick aggregate.
49. Application of artificial neural networks in wastewater treatment.
50. Part 4: Artificial neural network applications in other areas of environmental engineering and science / Partie 4 : les applications des réseaux neuronaux artificiels dans d’autres secteurs du génie et de la science de l’environnement - Artificial neural network modelling of oil sands extraction processes
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