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2. Prediction of soil-water characteristic curves using two artificial intelligence (AI) models and AI aid design method for sands.
3. Estimating lateral placement and lane indiscipline of urban mixed traffic of a developing country: an ANN-assisted approach.
4. The role of spatial scale in drought monitoring and early warning systems: a review.
5. Classification of surface pavement cracks as top-down, bottom-up, and cement-treated reflective cracking based on deep learning methods.
6. Integrating model tree and modified stepwise regression in concrete slump prediction and steel fabrication estimating.
7. Developing SonReb models to predict the compressive strength of concrete using different percentage of recycled brick aggregate.
8. Prediction of pressure coefficient on setback building by artificial neural network.
9. Assessing the performance of artificial neural networks to predict ionospheric TEC over Nigeria during different space weather events.
10. The use of artificial neural networks for modelling rumen fill.
11. Automatic manpower allocation for public construction projects using a rough set enhanced neural network.
12. A neural network approach for solution of the Schrödinger equation for a particle in the Pöschl–Teller potential.
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