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Unsupervised Deep Learning Algorithm to Solve Sub-Surface Dynamics for Petroleum Engineering Applications by Kumar, A., Ridha, S., Ilyas, S.U.

“…In the present study, the solution for the initial condition and boundary value problems in ordinary and partial differential equation by deep learning method have been analyzed. …”
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A new modern scheme for solving fractal–fractional differential equations based on deep feedforward neural network with multiple hidden layer by Admon, Mohd Rashid, Senu, Norazak, Ahmadian, Ali, Majid, Zanariah Abdul, Salahshour, Soheil

“…Originally invented for machine learning technique, artificial neural network (ANN) is cutting-edge scheme that have shown promising result in solving the fractional differential equations (FDEs). …”
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Polynomial neural network for solving Caputo-conformable fractional Volterra–Fredholm integro-differential equation with three-point non-local boundary conditions by Alsa’di, Kawthar, Nik Long, Nik Mohd Asri, Senu, Norazak, Eshkuvatov, Z.K.

“…Feed-forward and back-propagation learning algorithms are used to initialize and update the weights, while the Adam optimization method is employed to minimize the error. …”
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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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Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources by Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.

“…The proposed DNN algorithm is structured to incorporate initial/boundary conditions in cylindrical coordinates and approximate the solution without the aid of any simulated or training data. …”
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An effective wavelet neural network approach for solving first and second order ordinary differential equations by Lee Sen Tan, Lee Sen Tan, Zainuddin, Zarita, Pauline Ong, Pauline Ong, Abdullah, Farah Aini A

“…The proposed WNNs approach is then rigorously evaluated by solving first and second order ODEs, including initial value problems, singularly perturbed boundary value problems, and a Lane–Emden type equation. …”
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Operational matrix based on orthogonal polynomials and artificial neural networks methods for solving fractal-fractional differential equations by Shloof, Aml Melad Asan

“…This study provided some new methods to solve initial value problems (IVPs) and boundary value problems (BVPs) of fractal-fractional differential equations (FFDEs) using operational matrix (OM) and artificial neural networks (ANNs). …”
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Environmental sustainability and its antecedents among millennial and gen-z students in a public higher learning institution by Naziatul Aziah Mohd Radzi, Suziana Hassan, Mohamad Syahrul Nizam Ibrahim, Normaizatul Akma Saidi, Hasif Rafidee Hasbollah

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Application Of The Differential Quadrature Method To Problems In Engineering Mechanics by Fakir, Md.Moslemuddin

“…The initial and/or boundary value problems can be solved by this method directly and efficiently. …”
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VOBcal: variant of bracketing method calculator by Idalisa, Nur, Baki, Nur Afriza, Zamani, Muhammad Athir, Hussian, Nurul Hafawati Fadhilah, Fakhri, Imza

“…A variety of real-world problems can be in the form of root findings or non-linear equations. The solution to such non-linear problems can be obtained either analytically or numerically. …”
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Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

“…Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. …”
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