Automatic Detection of Occluded Main Coronary Arteries of NSTEMI Patients with MI-MS ConvMixer + WSSE Without CAG by Mehmet Cagri Goktekin, Evrim Gul, Tolga Çakmak, Fatih Demir, Mehmet Ali Kobat, Yaman Akbulut, Ömer Işık, Zehra Kadiroğlu, Kürşat Demir, Abdulkadir Şengür

“…<b>Results:</b> This algorithm improves the SVM classifier performance. …”
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An Improved Exact Algorithm for Least-Squares Unidimensional Scaling by Gintaras Palubeckis

“…In this paper, we propose an improved branch-and-bound algorithm for solving this problem. The main ingredients of the algorithm include an innovative upper bounding technique relying on the linear assignment model and a dominance test which allows considerably reducing the redundancy in the enumeration process. …”
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AN ALGORITHM FOR ASSEMBLING A COMMON IMAGE OF VLSI LAYOUT by Y. Y. Lankevich

“…Employing graphics processing units enables acceleration of computations. We realize algorithms and programs for assembling a common image of VLSI layout. …”
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Detection of phishing portals through machine learning algorithms by E. A. Trushnikov

“…Objective Analysis and practical implementation of the phishing portal detection functionality through machine learning algorithms. Method. Systematization of disparate information, analysis of the field, description of available developments are the main methods that were used in the study. …”
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On а Recursive-Parallel Algorithm for Solving the Knapsack Problem by Vladimir V. Vasilchikov

“…We used the RPM ParLib library, developed by the author, as the main tool to program the algorithm. This library allows us to develop effective applications for parallel computing on a local network in the .NET Framework. …”
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Algorithm for optimization of cold‑rolled pipe rolling routes by S. V. Pilipenko

“…The aim of the work is to develop an algorithm for optimizing the routes of cold rolling of pipes using CRP and CRPR type mills, convenient for implementation in a software product. …”
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Algorithmization of the problem of videoscopic evaluation of the steel ropes state by Panfilov A.V., Yusupov A.R., Gavrikov M.M., Sinetsky R.M.

“…The paper presents the results of preliminary testing of the developed algorithms and programs, the composition and methods for determining the main indicators for evaluating their effectiveness are proposed.…”
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A New Algorithm for Positive Semidefinite Matrix Completion by Fangfang Xu, Peng Pan

“…Recovery results show that our algorithm is helpful.…”
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Modified Projection Algorithms for Solving the Split Equality Problems by Qiao-Li Dong, Songnian He

“…The split equality problem (SEP) has extraordinary utility and broad applicability in many areas of applied mathematics. Recently, Byrne and Moudafi (2013) proposed a CQ algorithm for solving it. …”
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Algorithms for estimating modular numbers in floating-point arithmetic by Konstantin Sergeevich Isupov

“…Therefore, RNS is used for reaching the maximum performance in many high-speed computer arithmetic applications. …”
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A ranking hashing algorithm based on listwise supervision by Anbang YANG, Jiangbo QIAN, Yihong DONG, Huahui CHEN

“…Recently,learning to hash technology has been used for the similarity search of large-scale data.It can simultaneous increase the search speed and reduce the storage cost through transforming the data into binary codes.At present,most ranking hashing algorithms compare the consistency of data in the Euclidean space and the Hamming space to construct the loss function.However,because the Hamming distance is a discrete integer value,there may be many data points sharing the same Hamming distance result in the exact ranking cannot be performed.To address this challenging issue,the encoded data was divided into several subspaces with the same length.Each subspace was set with different weights.The Hamming distance was calculated according to different subspace weights.The experimental results show that this algorithm can effectively sort the data in the Hamming space and improve the accuracy of the query compared with other learning to hash algorithms.…”
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Modern warfarin- dosing algorithms in patients with atrial fibrillation by M. Yu. Kolesnyk, Ya. M. Mykhaylovskyi

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Hierarchical Models and Tuning of Random Walk Metropolis Algorithms by Mylène Bédard

“…We obtain weak convergence and optimal scaling results for the random walk Metropolis algorithm with a Gaussian proposal distribution. The sampler is applied to hierarchical target distributions, which form the building block of many Bayesian analyses. …”
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Using genetic Algorithm in Task scheduling for Multiprocessing System by Asmaa Hammo, Ghosun Basheer, Muna Jawhar

“…In this work we use Genetic Algorithm for best section to implement many independent tasks on multiprocessor systems. …”
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AdaBoost algorithm based on fitted weak classifier by Pengfeng SONG, Qingwei YE, Zhihua LU, Yu ZHOU

“…AdaBoost algorithm was proposed to minimize the accuracy caused by weak classifiers by minimizing the training error rate,and the single threshold was weaker and difficult to converge.The AdaBoost algorithm based on the fitted weak classifier was proposed.Firstly,the mapping relationship between eigenvalues and marker values was established.The least squares method was introduced to solve the fitting polynomial function,and the continuous fitting values were converted into discrete categorical values,thereby obtaining a weak classifier.From the many classifiers obtained,the classifier with smaller fitting error was selected as the weak classifier to form a new AdaBoost strong classifier.The UCI dataset and the MIT face image database were selected for experimental verification.Compared with the traditional Discrete-AdaBoost algorithm,the training speed of the improved algorithm was increased by an order of magnitude.And the face detection rate can reach 96.59%.…”
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Systemic therapy of psoriasis and psoriatic arthritis: assignment algorithms by Marianna M. Khobeysh, Evgeny V. Sokolovskiy

“…Therapy of patients with psoriasis requires solving the complex issue of drug selection, which depends on many factors. The choice of systemic therapy algorithm is an important issue that determines the effectiveness and safety of treatment, influences the prognosis of the disease and the patient’s quality of life.…”
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Study of a new fast adaptive filtering algorithm by WANG Zhen-li, ZHANG Xiong-wei, YANG Ji-bin, CHEN Gong

“…A new fast adaptive filtering algorithm was presented by using the correlations between the signal’s former and latter sampling times. …”
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Algorithmic Maps and the Political Geography of Early-modern Japan by Mark Ravina

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The scientific justification of the preparation's algorithm of the patients for oral prosthetics by I. N. Antonova, L. Yu. Orekhova, T. B. Tkatchenko, S. B. Ulitovskiy, G. A. Khatskevich, A. I. Yaremenko

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Algorithm of management of patient with alcohol-induced liver disease by M. V. Mayevskaya, M. A. Morozova

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