D
Deepak Kumar
Researcher at National Institute of Technology, Patna
Publications - 41
Citations - 1023
Deepak Kumar is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Extreme learning machine & Computer science. The author has an hindex of 13, co-authored 34 publications receiving 396 citations.
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Journal ArticleDOI
Long short term memory (LSTM) recurrent neural network for low flow hydrological time series forecasting
TL;DR: The finding of this research concludes that LSTM-RNN can be used as new reliable AI technique for low-flow forecasting.
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Forecasting monthly precipitation using sequential modelling
TL;DR: In this article, new generation deep learning models, recurrent neural networ..., were used to predict rainfall in the hydrological cycle and play a vital role in planning and managing water resources.
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Compressive strength prediction of high-performance concrete using gradient tree boosting machine
TL;DR: In this article, a multivariate adaptive regression splines model (MARS) was used as a feature extraction method to extract the optimum inputs that use to design the high performance concrete (HPC) structures.
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Application of soft computing techniques for shallow foundation reliability in geotechnical engineering
TL;DR: It was found that MPMR model can be used as a reliable soft computing technique for non-linear problems for settlement of shallow foundations on soils and outperformed PSO-ANFIS andPSO-ANN.
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Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases
Mosbeh R. Kaloop,Deepak Kumar,Pijush Samui,Alaa R. Gabr,Jong Wan Hu,Xinghan Jin,Bishwajit Roy +6 more
TL;DR: In this paper, a Particle Swarm Optimization-based Extreme Learning Machine (PSO-ELM) was used to predict the performance of stabilized aggregate bases subjected to wet-dry cycles.