Three-Dimensional Path Planning of Constant Thrust Unmanned Aerial Vehicle Based on Artificial Fluid Method by Yongqiang Qi, Shuai Li, Yi Ke

“…In particular, this paper addresses a novel algorithm of constant thrust fitting which is proposed through the impulse compensation, and then the constant thrust switching control scheme based on the isochronous interpolation method is given. …”
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Analysis of the Fractional-Order Delay Differential Equations by the Numerical Method by Saadia Masood, Muhammad Naeem, Roman Ullah, Saima Mustafa, Abdul Bariq

“…The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the Chebyshev wavelet method, and the modified wavelet-based algorithm. Moreover, based on the novelty and scientific importance, the present method can be extended to solve other nonlinear fractional-order delay differential equations.…”
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An Efficient Cluster Head Selection Approach for Collaborative Data Processing in Wireless Sensor Networks by Yan Qiang, Bo Pei, Wei Wei, Yue Li

“…This paper proposes an efficient cluster head selection approach for collaborative data processing in WSNs. The proposed algorithm designs an effective energy-efficient model to select the optimal cluster heads among all nodes fairly, which helps to reduce the impact of the monitoring scheme on the lifetime of network. …”
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A GenEO Domain Decomposition method for Saddle Point problems by Nataf, Frédéric, Tournier, Pierre-Henri

“…We introduce an adaptive element-based domain decomposition (DD) method for solving saddle point problems defined as a block two by two matrix. The algorithm does not require any knowledge of the constrained space. …”
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Multi-sensor image fusion based on contrast and directional features optimization by Haiyan Jin, Meng Zhang, Zhaolin Xiao, Yaning Li

“…Then, we compute the decomposition coefficients of visible and infrared images using a low-pass filter on the decomposed data; and finally, we introduce the whale optimization algorithm to search optimal coefficients to reconstruct the final fusion image. …”
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Disturbance Observer-Based Adaptive Neural Network Control of Marine Vessel Systems with Time-Varying Output Constraints by Wei Zhao, Li Tang, Yan-Jun Liu

“…This article investigates an adaptive neural network (NN) control algorithm for marine surface vessels with time-varying output constraints and unknown external disturbances. …”
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Comparison of Gaussian Elimination and Cholesky Decomposition Solving A Linear System Of Equation. by Nzabonimpa, Godfrey

“…It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cho!…”
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A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations. by Niringiye, Richard

“…It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cholesky decomposition is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions.…”
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Fréchet Random Noise for k-Regime-Switching Mixture Autoregressive Model by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…Fréchet Mixture Autoregressive (FMAR) model of k-regime-switching, denoted by FMAR(k; p1, p2 ,, pk ) was developed and Expectation-Maximization (EM) algorithm was used as a method of parameter estimation for the embedded coefficients of AR of k-mixing weights and lag pk. …”
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Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Continuous-Time Markov Decision Processes by Xiao Wu, Yanqiu Tang

“…Also, we give an iteration algorithm on the approximate optimal policies. Finally, we give an example to illustrate the asymptotic optimality.…”
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Research on Parking Service Optimization Based on Permit Reservation and Allocation by Duo Xu, Huijun Sun

“…It first analyzes the characteristics and costs of “arrival priority” and “reservation priority” modes, and then, it proposes the parking permit reservation and allocation mode based on “service order optimization” and designs an “ant colony-genetic” algorithm to solve the optimal service order. The numerical example shows that the measures of quantity control and matching optimization are effective in parking management. …”
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Fast TDOA and FDOA Estimation for Coherent Pulse Signals by Yan Liu, Fucheng Guo

“…The estimates are then refined with the cross-ambiguity function (CAF) algorithm within a small TDOA and FDOA neighborhood. …”
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Approximate Method to Evaluate Reliability of Complex Networks by Petru Caşcaval

“…The method requires an algorithm for transforming the set of minimal paths into a sum of disjoint products (SDP). …”
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Research of vehicular cloud storage resource management based on trust mechanism by Jin Wang, Miao Zhang, Xiang Gu, Tiequan Wang, Jie Wang, Liang Chen

“…The model can reasonably arrange the suitable scheduling algorithm according to the attribute characteristics of different kind of service requirements. …”
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Optimization of the Forcing Term for the Solution of Two-Point Boundary Value Problems by Gianni Arioli

“…We provide an application of this algorithm to the planar restricted three body problem in order to study the planning of low-thrust transfer orbits.…”
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Physics-guided actor-critic reinforcement learning for swimming in turbulence by Christopher Koh, Laurent Pagnier, Michael Chertkov

“…Our scheme, coined the actor-physicist, is an adaptation of the actor-critic algorithm in which the neural network parameterized critic is replaced with an analytically derived physical heuristic function, the physicist. …”
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Music Emotion Research Based on Reinforcement Learning and Multimodal Information by Yue Hu

“…In this paper, a multimodal fusion algorithm for music emotion analysis is proposed, and a dynamic model based on reinforcement learning is constructed to improve the analysis accuracy. …”
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Economic Development Trend Prediction Model Based on Unsupervised Learning in the Internet of Things Environment by Min Kuang

“…In order to explore the economic development trend under the environment of the Internet of Things, this paper improves the chaotic algorithm of the Internet of Things and constructs an economic development trend analysis system based on big data technology. …”
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Modified Newtonian Dynamics: A Falsification of Cold Dark Matter by R. H. Sanders

“…MOND may be viewed as an algorithm for calculating the distribution of force in an astronomical object from the observed distribution of baryonic matter. …”
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Health Promotion Effects of Sports Training Based on HMM Theory and Big Data by Haiyan Song, Yao Ma, Hongwei Chen

“…Firstly, the characteristic information of human health status after sports training is collected based on big data technology, and the evaluation index and evaluation algorithm of human health status after sports training are constructed. …”
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