易怒 发表于 2025-3-28 16:39:46

http://reply.papertrans.cn/67/6648/664757/664757_41.png

Hemiplegia 发表于 2025-3-28 20:07:07

Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concr enhancing structural performance, durability, and service life, yet accurately predicting the shear strength of these elements remains complex due to intricate interactions between influencing factors that conventional empirical equations struggle to capture. This comprehensive review critically a

EVICT 发表于 2025-3-29 02:17:24

http://reply.papertrans.cn/67/6648/664757/664757_43.png

教育学 发表于 2025-3-29 05:31:29

Prediction of Bi-Linear Strength Envelope of Brazilian Soils Using Machine Learning Techniques,r, based on recently produced studies, it is believed that the development of computational models to estimate them is a tool capable of meeting this demand. This study aims, therefore, to develop a machine learning model capable of estimating bi-linear strength envelopes of soils. In order to achie

monochromatic 发表于 2025-3-29 07:32:37

Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tool method of determining the UCS is often expensive and time-consuming. Also, the determination of UCS by conventional methods is less accurate and reliable because of the maintenance and calibration of instruments. Therefore, many empirical and advanced computational methods have been introduced and

jet-lag 发表于 2025-3-29 13:06:14

A Review of Deformations Prediction for Oil and Gas Pipelines Using Machine and Deep Learning,preserving pipeline integrity is important for a secure and sustainable energy provider. The fast development of Machine Learning (ML) methods gives a beneficial possibility to build predictive models that can efficiently resolve these complex problems. This review paper principally emphasizes apply

esculent 发表于 2025-3-29 15:38:33

,Determination of the Effect of XGBoost’s Parameters on a Structural Problem, walls have both structural constraints and constraints such as overturning, shear and soil-bearing capacity. In this chapter, a dataset is generated by optimizing the cantilever-type reinforced concrete retaining wall with Teaching Learning Based Optimization (TLBO). This dataset is analyzed with E

Constrain 发表于 2025-3-29 23:14:34

http://reply.papertrans.cn/67/6648/664757/664757_48.png

Vulvodynia 发表于 2025-3-30 03:11:40

http://reply.papertrans.cn/67/6648/664757/664757_49.png

品尝你的人 发表于 2025-3-30 06:38:04

http://reply.papertrans.cn/67/6648/664757/664757_50.png
页: 1 2 3 4 [5] 6
查看完整版本: Titlebook: New Advances in Soft Computing in Civil Engineering; AI-Based Optimizatio Gebrail Bekdaş,Sinan Melih Nigdeli Book 2024 The Editor(s) (if ap