Successful pericardiotomy with drainage of the pericardial cavity in case of multimorbid patient by N.M. Seredyuk, A.V. Sudus, I.M. Budzan, S.M. Hrychynyuk, V.В. Tomyn, N.V. Rohiv, M.V. Bielinskyi, A.Ya. Vasylyshyn

“…With occurrence of pericardial effusion (pretamponade) and acute decompensated heart failure – cardiac tamponade an emergency care should include pericardiotomy with drainage of the pericardial cavity. This algorithm should be known not only to cardiac surgeons, but also to interventional and therapeutic cardiologists.…”
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Closed Loop Finite Element Modeling of Piezoelectric Smart Structures by Guang Meng, Lin Ye, Xing-jian Dong, Ke-xiang Wei

“…The Eigensystem Realization Algorithm (ERA) is then employed to develop an explicit state space model of the equivalent linear system for control law design. …”
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Resilience enhancement by line hardening for communication routing considering renewable energy sources in cyber‐physical power systems by Xiaolong Li, Wenyi Li, Nana Wang, Le Li, Xuan Gong

“…The model is solved by the column‐and‐constraint generation algorithm. Case studies are conducted on the IEEE 14‐bus, RTS 24‐bus, and 118‐bus system. …”
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Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching by Gurman Gill, Reinhard R. Beichel

“…This yields an initial segmentation for the 4D volume, which is then refined by using a 4D optimal surface finding algorithm. The approach was evaluated on a diverse set of 152 CT scans of normal and diseased lungs, consisting of total lung capacity and functional residual capacity scan pairs. …”
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Multi-Modal Social Robot Behavioural Alignment and Learning Outcomes in Mediated Child–Robot Interactions by Paul Baxter

“…This behavioural alignment is facilitated by a human memory-inspired learning algorithm that adapts in real-time over the course of an interaction. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…Two segmentation methods for the contour extraction were investigated: a classical approach using the watershed algorithm and a U-Net architecture. The features were tested using a support vector machine (SVM) on the OpenSARShip and FUSAR-Ship datasets, demonstrating improved results compared to existing handcrafted features in the literature. …”
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Melatonin in Tuberous Sclerosis Complex Analysis Using Modern Mathematical Modeling Methods by Justyna Paprocka, Marek Kijonka, Łukasz Boguszewicz, Maria Sokół

“…To describe the diurnal melatonin secretion, mathematical model was constructed and nonlinear least squares method with the Levenberg-Marquardt optimization algorithm was applied to approximate its parameters. …”
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Single cell suppression profiling of human regulatory T cells by Jonas Nørskov Søndergaard, Janyerkye Tulyeu, David Priest, Shimon Sakaguchi, James B. Wing

“…To overcome this limitation, we here develop ‘single cell suppression profiling of human Tregs’ (scSPOT). scSPOT uses a 52-marker CyTOF panel, a cell division detection algorithm, and a whole PBMC system to assess the effect of Tregs on all other cell types simultaneously. …”
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Data-Driven Machine-Learning Model in District Heating System for Heat Load Prediction: A Comparison Study by Fisnik Dalipi, Sule Yildirim Yayilgan, Alemayehu Gebremedhin

“…In order to determine which algorithm had the best accuracy, we conducted performance comparison among these ML algorithms. …”
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Multi-Slot Secure Offloading and Resource Management in VEC Networks: A Deep Reinforcement Learning-Based Method by Zhen Li, Jialong Gong, Xiong Xiong, Dong Wang

“…Given the dynamic nature and high complexity of the JSORA problem, we propose a Filtered Deep Reinforcement Learning-based Secure Offloading and Allocation (FDRL-SOA) algorithm to control the offloading and resource allocation within the cluster. …”
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Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma

“…In this paper, under the framework of the original lower upper bound estimation method, a direct interval prediction approach is proposed for landslide displacements based on the least squares support vector machine (LSSVM) and differential search algorithms. Two LSSVM models are directly implemented to generate the interval of future displacements, and the optimal model parameters are derived by the differential search algorithm. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…This paper presents the implementation and quantitative evaluation of a multiphase three-dimensional deformable model in a level set framework for automated segmentation of brain MRIs. The segmentation algorithm performs an optimal partitioning of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in the brain. …”
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Hydraulic Fracturing Mechanism of Rock Mass under Stress-Damage-Seepage Coupling Effect by Zhengzheng Cao, Yue Wang, Haixiao Lin, Qiang Sun, Xiaogang Wu, Xiaoshuai Yang

“…Based on the theory of elasticity and Weibull distribution, the statistical damage constitutive model of rock mass and the finite element numerical algorithm are established, by adopting the COMSOL Multiphysics numerical software and MATLAB program. …”
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Quantum Perceptron: A Novel Approach to Predicting Unemployment Levels in North Sumatra Province by Solikhun, Dimas Trianda

“…The application of Quantum Computing to improve the perceptron algorithm in unemployment prediction is a new aspect of this research. …”
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The Reduced-Order Model for Droplet Drift of Aerial Spraying under Random Lateral Wind by Wencheng Li, Wenyun Wang, Xiaomao Huang, Chenyang Li

“…Based on the input and output dataset of CFD, the recursive algorithm including nonlinear autoregressive exogenous model and surrogate-based recurrence framework and the deep learning method for time-series prediction called long short-term memory neural network are used to build the efficient reduced-order model, respectively. …”
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Study on Automotive Back Door Panel Injection Molding Process Simulation and Process Parameter Optimization by Guoqing Wang, Youmin Wang, Deyu Yang

“…For a single evaluation index warpage, least squares method and artificial fish swarm algorithm are used to find the optimal parameter combination. …”
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Very Fast and Accurate Procedure for the Characterization of Photovoltaic Panels from Datasheet Information by Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Gabriele Maria Lozito, Salvatore Coco

“…Validations on thousands of photovoltaic panels are presented that show how it is possible to make easy and efficient the extraction process of the five parameters, without taking care of choosing a specific solver algorithm but simply by using any deterministic optimization/minimization technique.…”
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Damage Detection and Localization from Dense Network of Strain Sensors by Simon Laflamme, Liang Cao, Eleni Chatzi, Filippo Ubertini

“…A wind turbine blade is adopted as a case study, and numerical simulations demonstrate the effectiveness of a data-driven algorithm relying on distributed strain data in evidencing the presence and location of damage, and sequentially ranking its severity. …”
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Incoherent Integration Detection Method of Airborne Phased Array Radar in a Multipath Environment by Yili Hu, Yongbo Zhao, Sheng Chen

“…Considering these two characteristics, this paper first proposes a target pairing algorithm for matching the DP range and multipath range of the same target in signal detection, and then, combined with the cell-averaging constant false alarm rate (CA-CFAR) detection model, an incoherent integration detection method for airborne PAR in the multipath environment is proposed. …”
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Hierarchical Matrices Method and Its Application in Electromagnetic Integral Equations by Han Guo, Jun Hu, Hanru Shao, Zaiping Nie

“…When applied in integral-equation- (IE-) based computational electromagnetics, H-matrices can be regarded as a fast algorithm; therefore, both the CPU time and memory requirement are reduced significantly. …”
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