Methodology to minimize the dynamic response of tall buildings under wind load controlled through semi-active magneto-rheological dampers by Alex Koch de Almeida, Francisco da Silva Brand�o, Let�cia Fleck Fadel Miguel

“…In the second configuration, called Uncontrolled Optimized (C2), the fundamental frequency of the building is optimized via PSO algorithm as a function of its mass. Then, in the third configuration, Controlled Optimized (C3), a set of MR dampers with behavior formulated via the modified Bouc-Wen rheological model and controlled through the Linear Quadratic Regulator associated with the Clipped Optimal control strategy (LQR-CO) is applied to the structure. …”
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Monitoring Murder Crime in Namibia Using Bayesian Space-Time Models by Isak Neema, Dankmar Böhning

“…The model consists of carefully chosen prior and hyper-prior distributions for parameters and hyper-parameters, with inference conducted using Gibbs sampling algorithm and sensitivity test for model validation. …”
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Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift by M. V. Carriegos, N. DeCastro-García, D. Escudero

“…Firstly, we have used the extreme gradient boosting model, and secondly, we have parallelized the machine learning algorithm to study the effect of using a different number of cores for the problem. …”
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Hardware Implementation of a Fuzzy Logic Controller for a Hybrid Wind-Solar System in an Isolated Site by Aymen Jemaa, Ons Zarrad, Mohamed Ali Hajjaji, Mohamed Nejib Mansouri

“…For this, a hardware implementation of the proposed algorithm is performed using the Xilinx System Generator. …”
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Dynamic and Static Properties of Aqueous NaCl Solutions at 25°C as a Function of NaCl Concentration: A Molecular Dynamics Simulation Study by Song Hi Lee

“…We present the result of molecular dynamics (MD) simulations to calculate the molar conductivity Λm= λNa++ λCl− of NaCl in SPC/E water at 25°C as a function of NaCl concentration (c) using Ewald sums employing a velocity Verlet algorithm. It is found that the MD result for Λm with Ewald sum parameter κ = 0.10 Å−1 gives the closest one to the experimental data and that the obtained radial distribution functions gii(r) with κ = 0.10 Å−1 show a dramatic change with a very deep minimum of gNaCl(r) and, as a result, sharp maxima of gNaNa(r) and gClCl(r) at the distance 9.95 Å, which indicates a characteristic of ionic atmosphere, the basis of the Debye–Hückel theory of ionic solutions. …”
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Output Feedback Fractional-Order Nonsingular Terminal Sliding Mode Control of Underwater Remotely Operated Vehicles by Yaoyao Wang, Jiawang Chen, Linyi Gu

“…Meanwhile, the FO-NTSMC algorithm, based on a new proposed fractional-order switching manifold, is designed to stabilize the tracking error to equilibrium points in finite time. …”
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Ambiguous Territory by Kathy Velikov, Cathryn Dwyre, Chris Perry, David Salomon

“…From parasite-vulnerable monocrops to systemic biopolitical violence upon indigenous peoples, these conditions expose the dark and unwanted externalities to the logistical algorithm that we have only recently begun to understand as deeply intertwined with each other and within all life on the planet. …”
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Investigation of hemostasis by thromboelastography in the patient with liver cirrhosis (Clinical case) by Ye. L. Bulanova, A. Yu. Bulanov, D. S. Gatsolayeva

“…The differential diagnosis between surgical and coagulopathic nature of bleeding after the invasive intervention helps to choose optimal algorithm of patient management. Presented clinical case illustrates approach to investigation and treatment of such patients.Original positions. …”
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Dynamic Phase Signal Control Method for Unstable Asymmetric Traffic Flow at Intersections by Xiancai Jiang, Yu Jin, Yanli Ma

“…Next, a signal control parameter adjustment algorithm for the dynamic phase is constructed to maximize the positive benefits of delay variation. …”
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A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers by Sharly Joana Halder, Wooju Kim

“…The experimental results showed that the proposed mathematical method can reduce the average error around 25%, and it is always better than the other existing interference avoidance algorithms.…”
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A Monte-Carlo planning strategy for medical follow-up optimization: Illustration on multiple myeloma data. by Benoîte de Saporta, Aymar Thierry d'Argenlieu, Régis Sabbadin, Alice Cleynen

“…These tools should incorporate realistic models of disease progression under treatment, multi-objective optimization of treatment strategies, and efficient algorithms to personalize follow-ups by considering patient history. …”
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Numerical Analysis of Unsaturated Soil Slopes under Rainfall Infiltration Based on the Modified Glasgow Coupled Model by Guoqing Cai, Mengzi Li, Bowen Han, Kenan Di, Qianqian Liu, Jian Li

“…Combined with Euler’s backward implicit integration algorithm, a numerical program was established for simulating the proposed model. …”
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Graph signal processing based pilot pattern design and channel estimation for OFDM system by Bin HE, Guobing LI, Yuan CHEN, Guomei ZHANG

“…Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed pilot pattern due to the complexity and variety of IoT communication scenarios, a pilot design and channel estimation scheme based on graph signal processing (GSP) was proposed.Firstly, the time-frequency resource block was modeled as a graph signal, and the channel estimation problem was reformulated into a sampling and reconstruction problem of the graph signal.Then, considering the influence of time-frequency fading, a weighted graph adjacency matrix was designed to construct a graph topology structure based on the time-frequency position.On this basis, the pilot position is selected based on the graph signal sampling theory, a greedy pilot pattern design algorithm based on weighted graph topology was proposed.At the same time, signal reconstruction was performed based on the graph signal reconstruction method, and a channel estimation method based on the graph smoothness constraint was proposed.Compared with the conventional scheme, simulation results show that the proposed method achieves higher channel estimation accuracy in high-speed scenarios of double selective channels, and effectively reduces pilot overhead in low-speed scenarios.…”
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SD‐SHO: Security‐dominated finite state machine state assignment technique with a satisfactory level of hardware optimization by Nitish Das, Aruna Priya Panchanathan

“…It is a deterministic algorithm and consists of two key techniques, such as state assignment using an improved quadratic sum code, and state assignment using a gradient‐based interior point method. …”
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Utilization of metaheuristic-based regression analysis to calculate the modified high-performance concrete's compressive strength by Liming Mu

“…In this study, it was employed the equilibrium optimizer (EO) and the arithmetic optimization algorithm (AOA) to identify key regression method variables (i.e., Support vector regression (SVR)) which could be adjusted to improve performance. …”
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An Elliptic Curve Based Schnorr Cloud Security Model in Distributed Environment by Vinothkumar Muthurajan, Balaji Narayanasamy

“…This paper proposes a virtual machine based cloud model with Hybrid Cloud Security Algorithm (HCSA) to remove the expired content. The HCSA-based auditing improves the malicious activity prediction during the data transfer. …”
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Iterative Signal Processing for Mitigation of Analog-to-Digital Converter Clipping Distortion in Multiband OFDMA Receivers by Markus Allén, Toni Levanen, Jaakko Marttila, Mikko Valkama

“…It is shown that the clipping compensation algorithm implemented in a turbo decoding OFDM receiver is able to remove almost all the clipping distortion even under significant clipping in fading channel circumstances. …”
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Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation by Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert

“…Here, we introduce a novel algorithm (MIIC-SDG) for generating synthetic data from electronic records based on a multivariate information framework and Bayesian network theory. …”
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Accuracy-Improved Fault Diagnosis Method for Rolling Bearing Based on Enhanced ESGMD-CC and BA-ELM Model by Wei Yuan, Fuzheng Liu, Hongbin Gu, Fei Miao, Faye Zhang, Mingshun Jiang

“…In order to increase the accuracy of fault diagnosis, it proposes a new fault diagnosis method based on enhanced Symplectic geometry mode decomposition with cosine difference factor and calculus operator (ESGMD-CC) and bat algorithm (BA) optimized extreme learning machine (ELM). …”
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A comparison of nonlinear filtering approaches in the context of anHIV model by H. Thomas Banks, Shuhua Hu, Zackary R. Kenz, Hien T. Tran

“…Numerical experiments reveal thatthe GHF is the most computationally expensive algorithm, while theEKF is the least expensive one. …”
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