Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms by Anjan Kumar Pradhan, Prasad Gandham, Kanniah Rajasekaran, Niranjan Baisakh

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Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

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Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms by Carlos Roberto López Paredes, Cesar García, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Maria Gabriela Zuniga Rodriguez, Tammineni Gnananandarao, Alexis Ivan Andrade Valle, Nancy Velasco, Greys Carolina Herrera Morales

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GraphFlood 1.0: an efficient algorithm to approximate 2D hydrodynamics for landscape evolution models by B. Gailleton, P. Steer, P. Davy, W. Schwanghart, T. Bernard

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Sliding window based rare partial periodic pattern mining algorithms over temporal data streams by K. Jyothi Upadhya, Ronan Lobo, Mini Shail Chhabra, Aman Paleja, B. Dinesh Rao, Geetha M., Prachi Sisodia, Bolusani Akshita Reddy

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Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea) by Degninou Yehadji, Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

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Development and validation of a deep learning algorithm for discriminating glioma recurrence from radiation necrosis on MRI by Yu-Zhe Ying, Xiao-Hong Cai, Xiao-Hong Cai, Han Yang, Han Yang, Hua-Wei Huang, Dao Zheng, Hao-Yi Li, Ge-Hong Dong, Yong-Gang Wang, Zhong-Li Jiang, Zhu-Lin An, Zhu-Lin An, Guo-Bin Zhang

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Governance for anti-racist AI in healthcare: integrating racism-related stress in psychiatric algorithms for Black Americans by Christopher T. Fields, Christopher T. Fields, Carmen Black, Carmen Black, Jannat K. Thind, Oluwole Jegede, Oluwole Jegede, Damla Aksen, Matthew Rosenblatt, Shervin Assari, Chyrell Bellamy, Elijah Anderson, Avram Holmes, Dustin Scheinost

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Research on the combination of algorithms and mixed reality for the localization of perforator vessels in anterolateral thigh and free fibula flaps by Yixiu Liu, Yixiu Liu, Jian Wu, Lian Zhou, Xi Tang, Shuangjiang Wu, Shuangjiang Wu, Ping Ji

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An improved sunflower optimization algorithm for cluster selection with secured data transmission using cryptographic techniques in WSNS-IoT by Yuvaraja M., Sureshkumar S., Joseph James S., Ishwarya Niranjana M.

“…Our results show that the proposed algorithm hugely outperforms the best solution approaches.…”
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An improved meta-heuristic algorithm to optimize the fractional-order controller for an industrial manipulator with a parallelogram structure by Nazila Nikdel

“…Criteria such as operation time and response speed, control cost, and system error need to be controlled by providing appropriate methods to ensure the successful performance of industrial operations. Therefore, this article pursues two main objectives: 1) controlling the robotic system by presenting a method based on fractional-order calculus so that it can control the system despite its complexity and non-linearity, 2) presenting the meta-heuristic algorithm "Improved Grey Wolf" to optimize the system response.Methodology: First, the mathematical model of the robot is presented based on Lagrange rules, and then the fractional-order calculus is used to design the controller. …”
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Influence of a Given Field of Temperature on the Blood Pressure Variation: Variational Analysis, Numerical Algorithms and Simulations by Ruxandra Stavre, Alexandra Ciorogar

“…Our study continues with approximation schemes: in order to improve the unknowns regularity, we introduce the pressure approximation by a sequence of viscoelastic pressure functions and we prove the weak convergence of this sequence to the pressure; then, we present a numerical approximation scheme with stability and convergence results and Uzawa’s algorithm. The last part of the article is devoted to numerical simulations that rely on the numerical schemes introduced and studied before and highlight some physical phenomena related to the considered problem.…”
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Principles and algorithms of neurotic level anxiety disorders (anxiety-phobic, panic and generalized anxiety disorders) psychotherapy by T. A. Karavaeva, A. V. Vasileva, S. V. Poltorak

“…Article presents modern approaches to the psychotherapy of neurotic level anxiety disorders with the use of the evidence based outcome-oriented research. …”
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A node localization algorithm based on Voronoi diagram and support vector machine for wireless sensor networks by Zhanjun Hao, Jianwu Dang, Yan Yan, Xiaojuan Wang

“…Therefore, the performance of the localization algorithm proposed in this article is verified.…”
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INFORMATION-ANALYTICAL SYSTEM OF MONITORING OF THE SHADOW OF NON-CASH FLOW: BASIC ELEMENTS, AUTHOR’S SIMULATION ALGORITHM by E. Baturina

“…The purpose of this article is to present the economic and mathematical toolkit for the analysis of information about the shadow activity of subjects of economic crimes and visualization of the structure of the information and analytical system for monitoring the shadow cash flow. …”
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Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

“…Objectives. This article provides a description and experience of creating the algorithm for recognizing the emotional state of the subject.Methods. …”
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Construction of Economic Management Big Data Platform Based on Artificial Intelligence Algorithm Monitoring and Early Warning by Shuzhen Mao

“…Experiments show that the artificial intelligence algorithm monitoring and early warning economic management big data platform constructed in this article shows that its accuracy of economic risk prediction can reach more than 90%.…”
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A new algorithm for automating power supply of an AC traction network with a sectioning points on switches by L. A. German, A. Yu. Popov, A. V. Samorukov, D. V. Ishkin, D. V. Yakunin, K. S. Subkhanverdiev

“…In the article, the issue of performing the automatic reclosure of the power line of the traction substation is considered dependent on the successful operation of the BAR algorithm of the sectioning point. …”
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Method of forming a business model of corporate integrated structures and developing algorithms and models of its validity by A. E. Vostroknutov, V. I. Loyko

“…The article presents the results of developing a methodology for forming a business model of corporate integrated structures based on the A. …”
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Swarm Confrontation Algorithm for UGV Swarm with Quantity Advantage by a Novel MSRM-MAPOCA Training Method by Huanli Gao, Chongming Zhao, Xinghe Yu, Shuangfei Ren, He Cai

“…The objective of this article is to design a swarm confrontation algorithm for the team with quantity advantage based on the multi-agent reinforcement learning training method. …”
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