FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

“…All these techniques are implemented in the FRiS-GRAD algorithm. The high efficiency of the algorithm is illustrated by results of solving the task of disease recognition on a microarray dataset.…”
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Formation of contrasting polychromatic object images based on multi-window acousto-optical filtering by V.V. Shipko, V.E. Pozhar, A.S. Machikhin, M.O. Sharikova, O.A. Kananykhin, Y.V. Pisarevsky, I.B. Sergeev

“…The results of the experiment demonstrate the effectiveness of the proposed method and algorithm.…”
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Optimal Paths on Urban Networks Using Travelling Times Prevision by Alfredo Cutolo, Carmine De Nicola, Rosanna Manzo, Luigi Rarità

“…We deal with an algorithm that, once origin and destination are fixed, individuates the route that permits to reach the destination in the shortest time, respecting an assigned maximal travel time, and with risks measure below a given threshold. …”
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An Efficient Variational Method for Image Restoration by Jun Liu, Ting-Zhu Huang, Xiao-Guang Lv, Si Wang

“…To solve this problem, we employ the split Bregman iteration method and the Chambolle’s algorithm. The convergence property of the algorithm is established. …”
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AUTOMATED CUTTING TOOLS SELECTION FOR BEARINGS COMPONENTS TURNING PROCESS by DAN GEORGE PRUTICA, GHEORGHE BRABIE, BOGDAN CHIRITA

“…Through the work presented in this paper an automated cutting tools selection algorithm for roughing and finishing turning has been realized. …”
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A Novel Concept Acquisition Approach Based on Formal Contexts by Ting Qian, Ling Wei

“…And the corresponding algorithm of our approach is proposed. The main theorems and the corresponding algorithm are examined by examples, respectively. …”
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Unified Framework of Approximating and Interpolatory Subdivision Schemes for Construction of Class of Binary Subdivision Schemes by Pakeeza Ashraf, Ghulam Mustafa, Abdul Ghaffar, Rida Zahra, Kottakkaran Sooppy Nisar, Emad E. Mahmoud, Wedad R. Alharbi

“…In this paper, a generalized algorithm to develop a class of approximating binary subdivision schemes is presented. …”
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Perbandingan Aplikasi Algoritma Kernel K-Means pada Graf Bipartit dan K-Means pada Matriks Dokumen- Istilah dalam Dataset Penelitian Covid-19 RISTEKBRIN by Budi Nugroho

“…As comparison, we applied original k-means algorithm on the document-term matrix of the dataset. …”
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The Application Research of Inverse Finite Element Method for Frame Deformation Estimation by Yong Zhao, Hong Bao, Xuechao Duan, Hongmei Fang

“…A frame deformation estimation algorithm is investigated for the purpose of real-time control and health monitoring of flexible lightweight aerospace structures. …”
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Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks by Jing Zuo, Jianwu Dang, Min Lyu

“…An optimal allocation algorithm based on a Lagrangian relaxation approach is designed. …”
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Pick-Up and Delivery Problem for Sequentially Consolidated Urban Transportation with Mixed and Multi-Pupropse Vehicle Fleet by Haoye Chen, Jonas Hatzenbühler, Erik Jenelius

“…Results show that the proposed algorithm is time-efficient and able to generate robust and high-quality solutions. …”
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A Data-Driven Method for Supporting Self-Adapt Large-Scale Group Decision-Making: A Case Study on Resilient Design of Firm’s Product by Houxue Xia, Mingwei Liu, Jingyao Jiao, Huagang Tong, Haifeng Zhang

“…This enhanced algorithm incorporates the levying mechanism and searching method from the gravity search algorithm. …”
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Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network by Lukas Falat, Dusan Marcek, Maria Durisova

“…They also incorporate genetic algorithm as an optimizing technique for adapting parameters of ANN which is then compared with standard backpropagation and backpropagation combined with K-means clustering algorithm. …”
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A Simplified Finite Control Set Model Predictive Control for T-Type Three-Level Power Conversion System Based on LCL Filter by Ning Gao, Huaiyu Fan, Weimin Wu

“…These challenges mainly include the increasing complexity of control algorithm and excessive cost of additional sensors, which deteriorate the performance of PCS and limit the application of FCSMPC. …”
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Evaluation of the Influencing Factors of Using Underground Space of Abandoned Coal Mines to Store Hydrogen Based on the Improved ANP Method by Wang Liu, Peng Pei

“…In this study, based on the analytic network process (ANP), the Apriori algorithm is introduced to mine the association rules for various influencing factors. …”
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On Minimum-Latency Broadcast in Multichannel Duty-Cycled Wireless Sensor Networks by Xianlong Jiao, Weidong Xiao, Bin Ge, Yuli Chen

“…Based on AIG, we present one novel approximation broadcast algorithm called NAB to solve the MLBCD problem. We prove that our proposed NAB algorithm achieves provable performance guarantee. …”
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Layout Aware Optimization of High Speed Fixed Coefficient FIR Filters for FPGAs by Shahnam Mirzaei, Ryan Kastner, Anup Hosangadi

“…The first phase of our algorithm uses registered adders and hardwired shifts. …”
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An Optimization Model for Tramp Ship Scheduling considering Time Window and Seaport Operation Delay Factors by Ang Yang, Yu Cao, Kang Chen, Qingcheng Zeng, Zigen Chen

“…The model and algorithm are tested with historical operation data from the thermal power plant in the southern coastal areas of China. …”
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Basic Newborn Life Support (BNLS) for members of the general public in natural disaster and conflict areas: A PHAID (PreHospital Aid) initiative by Abdul Qader Tahir Ismail

“…This is reflected in the PHAID newborn algorithm.…”
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Fractional-Order Sliding Mode Terrain-Tracking Control of Autonomous Underwater Vehicle with Sparse Identification by Zheping Yan, Lichao Hao, Qiqi Pi, Tao Chen

“…With the construction of the autonomous underwater vehicle dynamic model in the North East Down frame regarding the vertical plane, an online sparse identification algorithm is implemented to obtain the model parameters during the diving process. …”
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