Series and Rational Solutions of the Second Kind Painlevé Equations by Using the Quantum Pseudospectral Method by Saeid Abbasbandy

“…Two approaches are investigated: first, a series solution is obtained, and then the rational solutions. The successive linearization method is used for the linearization of the Painlevé-II equation. …”
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Removal of Surfactants from wastewater by Rice Husk

“…The maximum removal efficiency for anionic surfactants was 97%, in an aqueous solution that contains 10mg/lit sodium linear alkyl benzene sulphonate in pH 2 and for nonionic surfactants was up to 75% in an aqueous solution that contains 20mg/lit nonyl phenol ethoxylate in pH 6-7. …”
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ECONOMIC EVALUATION OF THE EFFECT OF THE APPLICATION OF BIOSTIMULANTS ON SPRING RAPE AND OATS by Angel SAROV, Krasimir KOSTENAROV

“…In a methodological aspect, linear modeling is applied in order to optimize the production structure of a selected agricultural holding. …”
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A Study of Solutions for Some Classes of PDEs Arising in Physics and Engineering Using Modified Reduced Differential Transform Method by Osama Alkhazaleh, Osama Ala’yed

“…The paper provides practical applications through notable examples encompassing the Klein–Gordon equation, the Schrödinger equation, the nonlinear reaction–diffusion–convection equation, and systems of linear and nonlinear PDEs. Primary results on certain test problems demonstrate the efficiency and ability of the method in solving diverse classes of partial differential equations, and therefore, it can be used as an alternative for dealing with such problems that do not have analytic solutions.…”
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STATISTICAL STUDY OF SOME INDICATORS IN THE LIVESTOCK SECTOR by R amona M aria DIMITROV

“…Also, the correla tion matrix between the indicators is analyzed and three validated linear regression models are presented with the interpretation of the results. …”

Prediction Method of Suction Zone Liquid State Based on Online Monitoring of Exhaust Parameters by Gu Bo, Miao Menghua, Li Qianglin

“…The suction state of a compressor is among the most important indicators of its safety and efficiency, but the suction state cannot be measured accurately, particularly for a system with a large refrigerating capacity and high refrigerant flow rate. …”
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UAV ad hoc network link prediction based on deep graph embedding by Jian SHU, Qining WANG, Linlan LIU

“…Aiming at the characteristics of the UAV ad hoc network (UAANET), such as topological temporal-varying, node mobility and intermittent connection, a temporal graph embedding model was proposed to present the preprocessed UAANET.To improve the sampling efficiency, the sampling interval was calculated based on linear probability.The network structure features were mapped to the relationship between nodes, and the contextual semantic features of nodes were extracted by adversarial training.With the help of long and short-term memory network, the temporal characteristics of the UAANET were extracted to predict the connection at the next moment.AUC, MAP, and Error Rate were employed as evaluation indexes.The simulation experiments based on NS-3 show that compared with Node2vec, DDNE and E-LSTM-D, the proposed method has a better accuracy.…”
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Generalized Lucas Tau Method for the Numerical Treatment of the One and Two-Dimensional Partial Differential Heat Equation by Y. H. Youssri, W. M. Abd-Elhameed, S. M. Sayed

“…The two proposed numerical schemes in one and two- dimensions are based on solving the corresponding integral equation to the heat equation, and after that employing, respectively, the tau and collocation methods to convert the heat equations subject to their underlying conditions into systems of linear algebraic equations that can be treated efficiently via suitable numerical procedures. …”
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The role of internal audit as a tool for enhancing cybersecurity effectiveness in Jordanian government agencies by Omar M. Alhawtmeh

“…To investigate the research hypotheses, an analysis was conducted using linear equations utilizing SPSS software to perform statistical analysis and validate the findings. …”
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A survey on federated learning in crowd intelligence by Qiang YANG, Yongxin TONG, Yansheng WANG, Lixin FAN, Wei WANG, Lei CHEN, Wei WANG, Yan KANG

“…Crowd intelligence is emerging as a new artificial intelligence paradigm owing to the rapid development of the Internet.However, the data isolation and data privacy preservation problems make it difficult to share data among the crowd and to build crowd intelligent applications.Federated learning is a novel solution that aims to collaboratively build models by breaking the data barriers in crowd.Firstly, the basic ideas of federated learning and a comparison with crowd intelligence were introduced.Secondly, federated learning algorithms were divided into three categories according to the crowd organization, and further optimization techniques on privacy, accuracy and efficiency were discussed.Thirdly, federated learning operators based on linear models, tree models and neural network models were presented respectively.Finally, mainstream federated learningopensource platforms and typical applications were introduced, followed by the conclusion.…”
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Prediction of groundwater level Sharif Abad catchment of Qom using WANN and GP models

“…To compare the results of the hybrid model of wavelet analysis-neural network (WNN), genetic programming (GP) multiple linear regression (MLR) and artificial neural network (ANN), two criteria of root mean squared error (RMSE) and nash-sutcliffe coefficient of efficiency (E) is used. …”
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Histogram affine invariants extraction method based on two-scale auto-convolution by Bo HUANG, Xiao-hui ZHAO, Xin-yan CAO, Ji-yin ZHAO, Gong-tao SHI

“…A two-scale auto-convolution histogram affine invariant was proposed.A two-scale auto-convolution transformation was established based on the new image generated by two-dimensional linear transform of image coordinates.Then the value of the new image density function is transformed into the histogram intervals partition and the proposed histogram affine invariant is obtained.In addition,the possible parameter ranges of the new invari are analyzed and the detailed deduction is given.By using the classic ＆quot;fish＆quot;and ＆quot;coil-100＆quot;test database,the effectiveness of the proposed invariant is verified by comparing to the multi-scale auto-convolution normalized histogram affine invariants from the perspective of time efficiency,anti-image distortion,and anti-viewing angle changes.…”
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New anisotropic diffusion method to improve radiographic image quality by Mohamed B. Gharsallah, Ezzedine B. Braiek

“…This paper presents a new non linear diffusion method based on adaptive diffusion flow ADF, this model remove noise while preserving weak image boundaries. …”
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Handing Optimization Energy Consumption in Heterogeneous Wireless Sensor Networks by Placido Rogerio Pinheiro, Álvaro Meneses Sobreira Neto, Alexei Barbosa Aguiar

“…This paper presents an integer linear programming model devoted to optimize the energy consumption efficiency in heterogeneous wireless sensor networks. …”
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Numerical study of fracture arrest on snow cover by B. M. Chiaia, B. Frigo

“…Under the hypothesis of a perfectly brittle phenomenon, avalanche triggering can be investigated numerically by means of Linear Elastic Fracture Mechanics (LEFM). Since, however, the real phenomenon is intrinsically dynamical, another aspect to investigate is represented by dynamic fracture propagation. …”
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Formulating Ether-Based Electrolytes for Highly Reversible Sodium Metal Anodes at High Temperatures by Xiuyun Ren, Yanmei Wu, Xijie Chen, Liang Hu, Yu Zhao, Tao Zhang, Bingcheng Ge, Xiaoqi Sun, Xiaoliang Yu

“…We have revealed that linear ethers outperform cyclic ethers at HT because of their improved thermal stability. …”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…The flexible and convenient tool created in this work will significantly increase the efficiency of hyperspectral image analysis.…”
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Mapping total suspended solids (TSS) and dissolved organic carbon (DOC) in complex coastal waters using deep learning enhanced remote sensing by S.L. Kesav Unnithan, Nagur Cherukuru, Timothy Ingleton, Eric Lehmann, Matt Paget, Yiqing Guo, Nathan Drayson, Gemma Kerrisk

“…Ground-based bio-optical measurements are used to quantify and evaluate the relationship between the remote sensing reflectance (Rrs) and the in-situ WQ parameters. However, the non-linear relationship is strongly influenced by optically complex coastal regions. …”
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A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization by Dan Li, Ernie Che Mid, Shafriza Nisha Basah, Xiaochun Liu, Jian Tang, Hongyan Cui, Huilong Su, Qianliang Xiao, Shiyin Gong

“…Perovskite solar cells (PSCs) have attracted significant attention due to their high power conversion efficiency (PCE) and affordability. However, optimizing the preparation parameters for PSCs is crucial. …”
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Spatio-Temporal Dynamics and Contributing Factors of Irrigation Water Use in the Loess Plateau by Jiayu He, Yayun Hu, Luocheng Shi, Haitao Wang, Yan Tong, Wen Dai, Mengmeng Zhang

“…Conversely, the irrigated area exhibited an overall upward trend, with minor declines occurring between 1977 and 1985. (2) While the total irrigation water use increased overall, piecewise linear regression analysis identified four distinct phases, with the first three phases showing growth, followed by a decline after 2001. (3) The expansion of agricultural irrigation areas emerged as the primary driver of increased irrigation water use, whereas advancements in irrigation efficiency effectively reduced water consumption. …”
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