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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…Moreover, a new hybrid technique which is the combination of deep learning artificial neural network and finite difference method (FDL-ANN) is developed to approximate the solution of higher order VFIDEs. …”
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RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION by CATUR ANDRYANI, NUR AFNY

“…This thesis proposes derivative free learning, using finite difference, methods for fixed size RBF network in comparison to gradient based learning for the application of system identification. …”
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Application Of The Differential Quadrature Method To Problems In Engineering Mechanics by Fakir, Md.Moslemuddin

“…Furthermore, the mathematical techniques involved in the finite difference schemes or in the Fourier transform methods, are often quite sophisticated and thus not easily learned or used.The differential quadrature method (DQM) is a numerical solution technique, which has been presented in this thesis. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

“…The modal frequencies of the tower are evaluated under various conditions of damage in concrete and connection in different parts of the tower by using finite element simulation. The results are used to develop the hybrid learning algorithm based on the AdaBoost, Bagging, and RUSBoost methods to predict the damage in the tower based on dynamic frequency domain. …”
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Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach by Qayyum A., Saeed Malik A., Saad N.M., Iqbal M., Abdullah M.F., Rasheed W., Abdullah T.A.B.R., Bin Jafaar M.Y.

A Confined Workforce Planning Model with Plugging for Service Organizations Using Network Flow Under Finite Horizon, Varying Demand Senario by Varughese, T. C.

“…The scope of the study is limited to finite planning horizon. Also, employee-learning through experience is not considered in this study. …”
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Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat by Chia , Yu Huat

“…Comparative analyses highlight CatBoost as the most accurate SS predictor among all machine learning (ML) models. Besides, in comparison with the CTGAN data generated for the ML analysis, data generated from the finite element model used in the ML analysis has outperform the prediction than the CTGAN of synthetic and hybrid data. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush