A Penalization-Gradient Algorithm for Variational Inequalities by Abdellatif Moudafi, Eman Al-Shemas

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ALGORITHM FOR THE TREATMENT OF PATIENTS WITH ACUTE HEART FAILURE by E. V. Reznik, Yu. V. Gavrilov, I. G. Nikitin

“…The algorithm for diagnosis, clinical patient profiles recognition, pharmacological (including diuretics, vasodilators, inotropes, vasopressors, anticoagulants, etc.) and non-pharmacological (including oxygen therapy, non-invasive and invasive ventilation, etc.) approaches to the management of AHF and ADHF are presented in accordance with contemporary guidelines.…”
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Research on data transmission based on DDPG algorithm by Yan Danting, Jiao Xinquan

“…In order to improve bandwidth utilization and reduce network delay, an improved Deep Deterministic Policy Gradient (DDPG) algorithm is added for congestion control. The experimental test results demonstrate that the algorithm presented in this paper can markedly reduce network latency. …”
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EVALUATION OF ITERATIVE ALGORITHMS FOR TOMOGRAPHY IMAGE RECONSTRUCTION by Alexandre F. Velo, Alexandre G. Alvarez, Margarida Mizue Hamada, Carlos Henrique de Mesquita

“…The analyses involved the measurement of the contrast to noise ratio (CNR), the root mean square error (RMSE) and the Modulation Transfer Function (MTF),in order to know which algorithm fits the conditions to optimize the system better.   …”
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Research on the impact of algorithmic trading on market volatility by Dan Yang, Yang Yang, Jia Luo, Zeming Wang, Haowei Sha

“…Abstract The rapid growing of algorithmic trading (AT) has been playing an increasingly important role in shaping financial market in recent years. …”
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An Algorithm for the Detection of Circular Elements in Engineering Design by Bonello D. K., Iano Y., Neto U. B.

“…The benchmarking of images is composed of five main images that are tested in the algorithm of detection of circles in MATLAB with different values of radio for each image. …”
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Influence maximization algorithm based on social network by Xuan WANG, Yu ZHANG, Junfeng ZHOU, Ziyang CHEN

“…The influence maximization (IM) problem asks for a group of seed users in a social network under a given propagation model, so that the information spread is maximized through these users.Existing algorithms have two main problems.Firstly, these algorithms were difficult to be applied in large-scale social networks due to limited expected influence and high time complexity.Secondly, these algorithms were limited to specific propagation models and could only solve the IM problem under a single type of social network.When they were used in different types of networks, the effect was poor.In this regard, an efficient algorithm (MTIM) based on two classic propagation models and reverse influence sampling (RIS) was proposed.To verify the effectiveness of MTIM, experiments were conducted to compare MTIM with greedy algorithms such as IMM, TIM and PMC, and heuristic algorithms such as OneHop and Degree Discount on four real social networks.The results show that MTIM can return a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow><mo>(</mo> <mrow> <mn>1</mn><mo>−</mo><mfrac> <mn>1</mn> <mtext>e</mtext> </mfrac> <mo>−</mo><mi>ε</mi></mrow> <mo>)</mo></mrow></math></inline-formula> approximate solution, effectively expand the expected influence and significantly improve the efficiency.…”
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Back-Analysis of Parameters of Jointed Surrounding Rock of Metro Station Based on Random Forest Algorithm Optimized by Cuckoo Search Algorithm by Xinping Guo, Annan Jiang, Xiang Liu

“…This study combines the ubiquitous-joint model, random forest algorithm (RF), and cuckoo search algorithm (CS) to construct the parameters identification method of a jointed rock mass. …”
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On routing algorithms in the internet of vehicles: a survey by Arundhati Sahoo, Asis Kumar Tripathy

“…Our study comprehensively reviews diverse routing algorithms and their associated assessment methodologies. …”
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Exact Algorithms for the Satellite Image Selection Problem by Swat Sylwester, Antczak Maciej, Zok Tomasz, Blazewicz Jacek, Musial Jedrzej

“…These algorithms show quality and efficiency compared with existing approaches and are expected to benefit various industrial applications.…”
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Performance analysis of global local mean square error criterion of stochastic linearization for nonlinear oscillator by Luu Xuan Hung, Nguyen Cao Thang

“…This criterion of stochastic linearization for nonlinear oscillators bases on dual conception to the local mean square error criterion (LOMSEC). The algorithm is generally built to multi-degree of freedom (MDOF) nonlinear oscillators. …”
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A Calibration Algorithm for Microelectromechanical Inertial Sensors by Nguyen Trong Yen, Nguyen Quoc Khanh, Ha Manh Thang

“…Systematic errors of microelectromechanical (MEMS) inertial sensors, such as those related to zero drift, scale factor, and nonorthogonality of sensitive axes, are the main sources of errors in strapdown inertial navigation systems (SINS). …”
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Utilization in Microgrids through Advanced Predictive Algorithms by K Aravind, Lakhanpal Sorabh, Pushpa Rani K., Khattab Al-Rubaye Taqi Mohammed, Tewari Preeti, Shanmugasundaram Ravivarman

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Pharmacotherapy algorithm for post-traumatic stress disorder by A. V. Vasileva, T. A. Karavaeva, D. S. Radionov

“…Improvement of existing and development of new pharmacotherapy algorithms is an important component of care provided to patients with PTSD. …”
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Shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means by Suxia ZHU, Shulun LIU, Guanglu SUN

“…To solve the problem that most studies had not fully considered the sensitivity of location to privacy budget and the influence of trajectory shape, which made the usability of published trajectory poor, a shape similarity differential privacy trajectory protection mechanism based on relative entropy and K-means was proposed.Firstly, according to the topological relationship of geographic space, relative entropy was used to calculate the sensitivity of real location to privacy budget, a real-time calculation method of location sensitive privacy level was designed, and a new privacy model was built in combination with differential privacy budget.Secondly, K-means algorithm was used to cluster the release position to obtain the release position set that was most similar to the real position direction, and Fréchet distance was introduced to measure the similarity between the release track and the real track, so as to improve the availability of the release track.Experiments on real data sets show that the proposed trajectory protection mechanism has obvious advantages in trajectory availability compared with others.…”
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Enhanced Hybrid Detection Technique for Minimum Mean Square Equalizer in Uplink Massive MIMO Systems by Azhar Hussein Neama, Ghanim A. Al-Rubaye

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User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering by Al Isra Denk Rimakka, Rezty Amalia Aras

“…The research process involves Knowledge Data Discovery (KDD) stages, including data processing, attribute selection, and applying the K-Means Clustering algorithm. The analysis results reveal five distinct user clusters, each with unique characteristics reflecting user behavior and preferences. …”
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New Algorithm of Stress Echocardiography with Adenosine Triphosphate by N. Yu. Nelassov, M. N. Morgunov, R. V. Sidorov, N. S. Doltmurzieva, O. L. Eroshenko, E. A. Arzumanjan, E. L. Kreneva, S. V. Shlyk

“…The authors elaborated a new algorithm for SEchoCG on the basis of an analysis of the main science databases and their first own experience in using ATP during SEchoCG. …”
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ECONOMIC SECURITY OF REGIONS AS A CRITERION FOR FORMATION AND DEVELOPMENT OF AGRICULTURAL CLUSTERS BY MEANS OF INNOVATIVE TECHNOLOGIES by Roman Viktorovich ZHARIKOV, Valerii Vasilievich BEZPALOV, Sergei Aleksandrovich LOCHAN, Maksim Vyacheslavovich BARASHKIN, Aleksandr Romanovich ZHARIKO

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RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study by Angela H. L. Chen, Yun-Chia Liang, Wan-Ju Chang, Hsuan-Yuan Siauw, Vanny Minanda

“…Based on big data smart card information, this paper proposes using the RFM and K-means clustering algorithm to analyze and construct mode-switching traveller profiles on MRT and YouBike riders. …”
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