http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5195 JAEM 2023, Vol 13, No 1 koleksiyonunu içerir. Tue, 07 Apr 2026 19:59:08 GMT 2026-04-07T19:59:08Z http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5230 SD-prime cordial labeling of subdivision K??snake and related graphs Prajapati, Udayan M.; Vasantlal, Vantiya Anitkumar Let f : V (G) ? {1, 2, . . . , |V (G)|} be a bijection, and let us denote S = f(u)+f(v) and D = |f(u)?f(v)| for every edge uv in E(G). Let f? be the induced edge labeling, induced by the vertex labeling f, defined as f?: E(G) ? {0, 1} such that for any edge uv in E(G), f?(uv) = 1 if gcd(S, D) = 1, and f?(uv) = 0 otherwise. Let e(f?) (0) and e(f?) (1) be the number of edges labeled with 0 and 1 respectively. f is SD-prime cordial labeling if |e(f?) (0) ? e(f?) (1)| ? 1 and G is SD-prime cordial graph if it admits SD-prime cordial labeling. In this paper, we have discussed the SD-prime cordial labeling of subdivision of K4?snake S(K?Sn), subdivision of double K??snake S(D(K?Sn)), subdivision of alternate K??snake S(A(K?Sn)) of type 1, 2 and 3, and subdivision of double alternate K?? snake S(DA(K?Sn)) of type 1, 2 and 3. Sun, 01 Jan 2023 00:00:00 GMT http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5230 2023-01-01T00:00:00Z http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5229 Predicting the ocean currents using deep learning Bayındır, Cihan In this paper, we analyze the predictability of the ocean currents using deep learning. More specifically, we apply the Long Short Term Memory (LSTM) deep learning network to a data set collected by the National Oceanic and Atmospheric Administration (NOAA) in Massachusetts Bay between November 2002-February 2003. We show that the current speed in two horizontal directions, namely u and v, can be predicted using the LSTM. We discuss the effect of training data set on the prediction error and on the spectral properties of predictions. Depending on the temporal or the spatial resolution of the data, the prediction times and distances can vary, and in some cases, they can be very beneficial for the prediction of the ocean current parameters. Our results can find many important applications including but are not limited to predicting the statistics and characteristics of tidal energy variation, controlling the current induced vibrations of marine structures and estimation of the wave blocking point by the chaotic oceanic current and circulation. Sun, 01 Jan 2023 00:00:00 GMT http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5229 2023-01-01T00:00:00Z http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5228 Applying VIM to conformable partial differential equations Harir, Atimad; Melliani, Said; Chadli, Lalla Saadia In this paper, we used new conformable variational iteration method, by the conformable derivative, for solving fractional heat-like and wave-like equations. This method is simple and very effective in the solution procedures of the fractional partial differential equations that have complicated solutions with classical fractional derivative definitions like Caputo, Riemann-Liouville and etc. The results show that conformable variational iteration method is usable and convenient for the solution of fractional partial differential equations. Obtained results are compared to the exact solutions and their graphics are plotted to demonstrate efficiency and accuracy of the method. Sun, 01 Jan 2023 00:00:00 GMT http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5228 2023-01-01T00:00:00Z http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5227 A technique for solving system of generalized Emden-Fowler equation using Legendre wavelet Barnwal, Amit K.; Sriwastav, Nikhil This article is concerned with the development of an efficient numerical algorithm for the solution of a system of generalized nonlinear Emden-Fowler equation. The proposed algorithm is based on the Legendre wavelet operational matrix of integration technique. This method decreases the storage and computational complexity due to its calculation on the subinterval [ (n-1)/2^(k-1) , n/2^(k-1)) of [0,1]. The main highlight of this method is to converts the system of the differential equation into an equivalent system of nonlinear algebraic equations, which greatly simplifies approximation. Some numerical example shows that the proposed scheme is very efficient and reliable. Sun, 01 Jan 2023 00:00:00 GMT http://belgelik.isikun.edu.tr/xmlui/handleiubelgelik/5227 2023-01-01T00:00:00Z