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Artificial Neural Network with Sensitivity Analysis: Predicting the Flexural Strength of Concrete Pavement using Locally Sourced Dilapidated Concrete as Partial Replacement.

, , , и . CSAI, стр. 408-414. ACM, (2021)

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Dante Neculai

Edgar Dantes

Jens Danter

Dante Bernabei

Dante Salvini

 

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Neural Network-based Approach for Identifying the Influence of Factors affecting the Green Building Rating of a Rural Housing Construction., , и . ICMSS, стр. 36-43. IEEE, (2022)Digital Information Mobility Schema: A Data-Flow Model Featuring Risk-Resilient Approach Towards Effective Construction Worksite Synergy Utilizing Fuzzy-Analytic Hierarchy Process., , , , и . MMBD, том 352 из Frontiers in Artificial Intelligence and Applications, стр. 54-63. IOS Press, (2022)Prediction of Tensile Strength and Erosional Effectiveness of Natural Geotextiles Using Artificial Neural Network., , , , , и . ICCAE, стр. 121-127. IEEE, (2021)Prediction and Sensitivity Analysis of Shear Strength of Reinforced Concrete Beams with Deformed Hook Steel Fiber using Backpropagation Neural Network coupled with Garson's Algorithm., , и . ICAAI, стр. 17-22. ACM, (2021)Forecasting Construction Cost Using Artificial Neural Network for Road Projects in the Department of Public Works and Highways Region XI., , и . MMBD, том 352 из Frontiers in Artificial Intelligence and Applications, стр. 64-71. IOS Press, (2022)Hybrid Neural - Based Model for Predicting the Construction Project Performance of High - Rise Building Projects in Metro Manila, Philippines., , и . MMBD/MLIS, том 341 из Frontiers in Artificial Intelligence and Applications, стр. 274-281. IOS Press, (2021)Seismic Damage Prediction and Classification tool: Utilizing Adaptive Neuro-Fuzzy Inference System (ANFIS) and Geographic Information System (GIS)., и . ICMSS, стр. 46-56. IEEE, (2023)Hybrid Artificial Neural Network and Genetic Algorithm Model for Multi-Objective Strength Optimization of Concrete with Surkhi and Buntal Fiber., , , и . ICCAE, стр. 47-51. ACM, (2020)Carbon-Fiber-reinforced Polymer as Confinement Reinforcement to Maximize Compressive Strength of Engineered Bamboo: An Artificial Neural Network Model., и . ICAAI, стр. 61-68. ACM, (2022)Artificial Neural Network with Sensitivity Analysis: Predicting the Flexural Strength of Concrete Pavement using Locally Sourced Dilapidated Concrete as Partial Replacement., , , и . CSAI, стр. 408-414. ACM, (2021)