Preoperative Preparation of Patients with Multifocal Atherosclerosis for Coronary Bypass Surgery: Mechanical and Medical Methods by E. V. Grigoryev, A. V. Geize, G. P. Plotnikov, I. N. Sizova, D. L. Shukevich, A. N. Sumin

“…Objective: to optimize preoperative preparation of patients with multifocal atherosclerosis and reduced baseline left ventricular ejection fraction for coronary bypass surgery, by providing a rationale for the use of mechanical and medical circulatory support methods. …”
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Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods by Alireza Taherzadeh-Fard, Alejandro Cornejo, Sergio Jiménez, Lucia G. Barbu

“…The simulation of damage in composite materials is an important research area that impacts different engineering applications from aerospace structures to renewable energy systems. …”
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A Case Study Comparing Methods for Coal Thickness Identification in Complex Geological Conditions by Tao Ding, Yanhui Wu, Lei Wang, Zhen Nie, Lei Zhang

“…This study compares the effectiveness of different methods for coal thickness identification, aiming to identify the most accurate approach and provide a reference for intelligent coalmine development. …”
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Design of Central Unit for Voltage Estimation-based Load Shedding Methods to Deal with FIDVR by Mahdi Ghotbi-Maleki, Reza Mohammadi, Hamid Javadi, Ali Agheli

“…The first method uses the index of IM loads’ power change. The second one is an optimization problem and the third method introduces indicators based on sensitivity analysis. …”
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Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

“…Abstract Traditionally, ASR expansion is determined using experimental and finite element method (FEM) based numerical modelling. However, these methods are time-consuming and computationally costly, which makes ASR prediction challenging. …”
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Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization by Mariana Rodrigues Villarim, Andréa Willa Rodrigues Villarim, Mario Gazziro, Marco Roberto Cavallari, Diomadson Rodrigues Belfort, Oswaldo Hideo Ando Junior

“…The tool enables the importation of experimental data, application of different smoothing methods, and integration of traditional and hybrid approaches to enhance accuracy in determining the resonance angle. …”
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Evaluating Propensity Score Methods in a Quasi-Experimental Study of the Impact of Menu-Labeling. by Stephanie L Mayne, Brian K Lee, Amy H Auchincloss

“…We then evaluated the treatment effect on differences in nutrients purchased across the different methods.…”
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Artificial intelligence methods used in various aquaculture applications: A systematic literature review by Thurein Aung, Rafiza Abdul Razak, Adibi Rahiman Bin Md Nor

“…Challenges of AI technologies and methods were identified in the research literature for applying AI to optimize commercial aquaculture practices and production. …”
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Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signals by Bangbei Tang, Bangbei Tang, Yan Li, Yingzhang Wu, Yilun Li, Qizong Yue

“…Electroencephalography (EEG) signals, being an objective measure of emotional states, offer valuable insights for identifying and regulating these emotions.MethodsThis study collected EEG data from 54 drivers in a simulated driving environment, resulting in a total of 1,260 samples, and developed a recognition model for abnormal emotions—specifically tension and anger—based on the EEG signals. …”
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A Comparative Study of the Extraction Methods for the Simultaneous Detection of NPS Groups from Urine by M. Kuloglu Genc, S. Mercan, C. Bulut, Z. Turkmen

“…The selected SPE procedure was applied to 20 authentic urine samples taken from volunteers. Results: The optimized extraction method was validated in terms of selectivity, linearity, the limit of detection, the limit of quantification, accuracy, and precision. …”
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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…Second, considering the spatiotemporal correlation coupling and quality inheritance characteristics of complex manufacturing processes, to better utilize the optimal feature subset and fully explore the deep information within and between different procedures, this study proposes a three-dimensional (feature-time-procedure) sample space representation method. …”
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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method by Souhail Dhouib

“…This is a popular issue in robotics and in this paper the environment is considered as static and represented as a bidirectional grid map. Besides, the novel optimal method Dhouib-Matrix-SPP (DM-SPP) is applied to create the optimal shortest path for a mobile robot in a static environment. …”
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Visual Impairment in Stroke Patients: a Two-Part Review. Part II — Rehabilitation Methods by Tatyana V. Marfina, Tatiana V. Konchugova, Tatiana V. Apkhanova, Detelina B. Kulchitskaya, Anastasiya A. Mukhina

“…This article is the second part of a two-part review devoted to the problem of visual impairment in patients with acute cerebrovascular accident, which provides an overview of the methods of rehabilitation of patients in this category. …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…The simulation results show that compared with the random edge security decision and the edge security decision oriented by the signal-to-noise ratio parameter,the method proposed has a greater advantage in the delay performance, and is comparable to the optimal edge security decision performance obtained by traversal.The difference is small. …”
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Methods for User-Controlled Synthesis of Blood Vessel Trees in Medical Applications: A Survey by Nikolaus Rauch, Matthias Harders

“…Therefore, in this paper we provide a survey of state-of-the-art methods for blood vessel synthesis, with a focus on user-control. …”
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Towards automatic US-MR fetal brain image registration with learning-based methods by Qi Zeng, Weide Liu, Bo Li, Ryne Didier, P. Ellen Grant, Davood Karimi

“…The results show that our method outperforms conventional optimization-based methods and recent learning-based techniques for rigid image registration. …”
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Research Progress on Ambient Visual Information Analysis and Perception Measurement Methods for Motion Vision by Haipeng ZHU, Yuhang KONG, (JPN) OHNO Ryuzo

“…This research reviews the methods for analyzing environmental visual information and dynamic perception. …”
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Selection method for hybrid energy storage schemes for supply reliability improvement in distribution networks by Qian Li, Yuanbao Zhou, Yunxiao Zhang, Yuxin Fu

“…Secondly, to eliminate the interference of utility value improvement processing on evaluation results, we introduce a secondary screening method based on TOPSIS evaluation results. This method mitigates the influence of subjective coefficients by evaluating HES schemes under different subjective coefficients and selecting optimal and sub-optimal schemes. …”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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