Prediction of uniaxial compressive strength of carbonate rocks and cement mortar using artificial neural network and multiple linear regressions

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

Henry Friday Nweke, Mohammed Ali Al-Garadi, Uzoma Rita Alo · Expert Systems with Applications · 2018 · 903 citations

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Knowledge‐Based Modeling of Material Behavior with Neural Networks

J. Ghaboussi, James H. Garrett, Xiaomin Wu · Journal of Engineering Mechanics · 1991 · 770 citations

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Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

U. Atici · Expert Systems with Applications · 2011 · 383 citations

Engineering, Civil Engineering, Materials Engineering +16

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

Ehsan Momeni, Danial Jahed Armaghani, Mohsen Hajihassani et al. · Measurement · 2014 · 360 citations

Engineering, Materials Engineering, Materials Science +11

Prediction of compressive and tensile strength of limestone via genetic programming

Adil Baykasoğlu, Hamza Güllü · Expert Systems with Applications · 2007 · 322 citations

Engineering, Civil Engineering, Geological Engineering +14