Titlebook: New Advances in Soft Computing in Civil Engineering; AI-Based Optimizatio Gebrail Bekdaş,Sinan Melih Nigdeli Book 2024 The Editor(s) (if ap

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书目名称New Advances in Soft Computing in Civil Engineering影响因子(影响力)




书目名称New Advances in Soft Computing in Civil Engineering影响因子(影响力)学科排名




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书目名称New Advances in Soft Computing in Civil Engineering网络公开度学科排名




书目名称New Advances in Soft Computing in Civil Engineering被引频次




书目名称New Advances in Soft Computing in Civil Engineering被引频次学科排名




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书目名称New Advances in Soft Computing in Civil Engineering年度引用学科排名




书目名称New Advances in Soft Computing in Civil Engineering读者反馈




书目名称New Advances in Soft Computing in Civil Engineering读者反馈学科排名

FEAS

opprobrious

IoT with Deep Learning in Pipeline and Metro Track Risk Estimation Using Smart Cities Development,sentially basically put together absolutely information transmission networks that bring down the attainable upgradation and power utilization towards the organization administration lifecycle. Hence, the deep learning application incorporated frameworks can perceive a smart town with extreme mainta

Aggressive

Forecasting of Lake Level by Soft Computing Approaches,addition to being models used successfully in hydrological modelling of civil engineering, the changes in modelling performance with the number of iterations, kernel functions, optimization algorithms, and data input sets that constitute the internal dynamite of the techniques are investigated. The

Formidable

赌博

Machine Learning Approaches for Predicting Compressive and Shear Strength of EB FRP-Reinforced Concene genetic programming (MGP). By synthesizing the latest advances, evaluating different ML approaches, and identifying gaps and future directions, this review aims to provide a comprehensive understanding of ML‘s potential and limitations in predicting the compressive and shear strength of EB FRP-r

Atrium

A Review of Deformations Prediction for Oil and Gas Pipelines Using Machine and Deep Learning,ecisely predict oil and gas pipeline deformations compared to typical techniques. Assessing ML predictive methods employed on reservoir or synthetic data for pipeline deformations can assist in developing monitoring tools for pipelines, reducing cost and time. It is expected that the development of

主讲人

Area Optimization of Bending Members with Different Shapes in Terms of Pure Bending, of the system. Following this step, the distances from the centres of each component to the axes are calculated, enabling the computation of moment of inertia for both directions. Once the moments of inertia are obtained, the bending moments and stresses are computed. Considering that the design of

奇思怪想

Book 2024his book serves as a timely resource, summarizing the latest advancements in civil engineering optimization, encompassing both metaheuristic approaches and emerging trends that integrates artificial intelligence and machine learning techniques to predict optimal solutions, streamlining lengthy optim

物质

Gebrail Bekdaş,Sinan Melih Nigdeliround state F(2P3/2) and the excited state F*(2P1/2) in the F+D2 reaction, and exploits the breakdown of BOA in the low collision energy..978-3-642-39755-4978-3-642-39756-1Series ISSN 2190-5053 Series E-ISSN 2190-5061