Unstructured Grid Solutions for Incompressible Laminar Flow over a Circular Cylinder Using a Particular Finite Volume-Finite Element Method by Mahdi Yousefifard, Parviz Ghadimi, Rahim Zamanian

“…Triangular elements are applied with an effective high performance fully coupled algorithm, to simulate incompressible laminar flow over a circular cylinder. …”
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Drug-Gene Interaction Prediction Method through Cross Granularity Subgraph Contrastive Learning and Attention Mechanism Fusion by HU Dongdong, PENG Yang, TAN Shuqiu, ZHU Xiaofei

“…At present, the graph neural network method based on the random walk algorithm has achieved great results in identifying drug-gene interaction relationships. …”
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Dominance-Partitioned Subgraph Matching on Large RDF Graph by Bo Ning, Yunhao Sun, Deji Zhao, Weikang Xing, Guanyu Li

“…Thirdly, the dominance-partitioned subgraph matching algorithm is designed to conduct all isomorphic subgraphs on a cluster-partitioned RDF graph. …”
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Parameter Identification of an Unmanned Surface Vessel Nomoto Model Based on an Improved Extended Kalman Filter by Sihang Lu, Baolin Wang, Zaopeng Dong, Zhihao Hu, Yilun Ding, Wangsheng Liu

“…This paper combines the locally weighted regression (LWR) algorithm and the extended Kalman filter (EKF) for parameter identification using state data from full-scale vessel experiments. …”
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Multiobjective Multistate System Preventive Maintenance Model with Human Reliability by Chao-Hui Huang, Chun-Ho Wang, Guan-Liang Chen

“…A customised version of the nondominated sorting genetic algorithm III is employed to ensure efficient solution of the PM model with human reliability—which is considered a constrained multiobjective combinatorial optimisation problem. …”
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Service Differentiated and Adaptive CSMA/CA over IEEE 802.15.4 for Cyber-Physical Systems by Feng Xia, Jie Li, Ruonan Hao, Xiangjie Kong, Ruixia Gao

“…To address this issue, this paper proposes a priority-based Service Differentiated and Adaptive CSMA/CA (SDA-CSMA/CA) algorithm to provide differentiated QoS for various Smart Grid applications as well as dynamically initialize backoff exponent according to traffic conditions. …”
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AADL architecture model construction based on FACE mode by LYU Guangzhe, YU Chunhai, KANG Kai, MA Chunyan, LIN Wei

“…Then, the StringTemplate template is designed based on the mapping rules, and the template engine algorithm for generating AADL model is given. Finally, a total of 12 kinds of FACE models elements in four aspects are taken as experimental objects, 241 FACE model instances are designed as test cases, and the generated AADL models are verified in the OSATE tool. …”
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Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…To reduce the computational complexity of these multistage CC behavioral models, a model-order reduction technique based on a greedy algorithm is proposed. The advantages of employing CC DPD models with gradient descent parameter identification, as opposed to single-stage DPD models with least squares parameter identification, are extensively demonstrated and analyzed. …”
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Rao-Blackwellized Gaussian Sum Particle Filtering for Multipath Assisted Positioning by Markus Ulmschneider, Christian Gentner, Thomas Jost, Armin Dammann

“…In this paper, we present and derive a novel filtering approach for our multipath assisted positioning algorithm called Channel-SLAM. Making use of Rao-Blackwellization, the location of a user is tracked by a particle filter, and each landmark is represented by a sum of Gaussian probability density functions, whose parameters are estimated by unscented Kalman filters. …”
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The effects of linear energy density and gas environment on droplet spatter characteristics and dynamics during selective laser melting by Guang Yang, Qi Liu, Da An, Xiangming Wang, Ranliang Wu, Han Xie

“…Utilizing high-speed imaging technology and a novel image processing method, we developed a new spatter feature extraction algorithm to analyze the number, area, angle, and speed of the spatter under different energy densities and protective gas directions. …”
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Traffic Status Prediction of Arterial Roads Based on the Deep Recurrent Q-Learning by Wei Hao, Donglei Rong, Kefu Yi, Qiang Zeng, Zhibo Gao, Wenguang Wu, Chongfeng Wei, Biljana Scepanovic

“…The model is based on the optimized Long Short-Term Memory (LSTM) algorithm to handle the explosive growth of Q-table data, which not only avoids the gradient explosion and disappearance but also has the efficient storage and analysis. …”
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Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach by DOI: 10.7172/2449-6634.jmcbem.2023.1.3 Journal of Marketing and Consumer Behaviour in Emerging Markets 1(16)2023 39 (39–50) © 2023 Authors. This is an open access journal distributed under the Creative Commons BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach Daniel Dan

“…Only the feedback that has been categorized as negative by the algorithm is selected. In correspondence to this feedback, the existence of answers from the hotels is checked together with the response style. …”
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Water heaters low-voltage electrode with current supply complex shape by E. V. Ptitsyna, D. V. Ptitsyn, A. B. Kuvaldin

“…This required the solution of scientific problems in the development of research methods on the physical model of the water heater, obtaining regulatory characteristics that develops recommendations for the selection of effective operating modes required for the subsequent development of the algorithm of automatic control system. The solution of the tasks establishes the influence of the electromagnetic component, along with the temperature component, on the water heating processes: it is experimentally proved that at the same temperature rise speed, the value of the power factor of the plant increases from 0.67 to 0.975. …”
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Transmit Waveform Optimization for Spatial-Frequency Diversity MIMO Radar in the Presence of Clutter by Yonghao Tang, Xiaofeng Ma, Weixing Sheng, Yubing Han

“…Inspired by the MIMO communication system, the water-filling algorithm is introduced into the transmitted energy allocation problem for each carrier frequency channel. …”
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An ORESTE approach based decision-making framework for renewable energy development with probabilistic dual hesitant fuzzy information by Soniya Gupta, Natasha Awasthi, Dheeraj Joshi

“…The aim of this paper is to develop the French Organization Rangement Et Synthese De Ronnees Relationnelles’ (ORESTE) approach for ranking the renewable energy plant under probabilistic dual hesitant fuzzy environment. First, an algorithm has been developed to normalize the Probabilistic Dual Hesitant Fuzzy Element (PDHFE). …”
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Improved Low-Complexity Demodulation: Integrating Minimum-Mean-Square-Error and Maximum-Likelihood Detection for Image-Sensor-Based Visible Light Communication by Yuki Ohira, Shintaro Arai, Kengo Fujii, Tomohiro Yendo

“…To address these limitations, this study introduces an improved error signal candidate selection algorithm that focuses on residual signals and channel matrix characteristics to refine the signal estimation result. …”
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Systematic Theoretical Analysis of Dual-Parameters RF Readout by a Novel LC-Type Passive Sensor by Qiulin Tan, Yanjie Guo, Guozhu Wu, Tao Luo, Tanyong Wei, Sanmin Shen, Wendong Zhang, Jijun Xiong

“…Additionally, a decoupling scheme for solving the crosstalk problem algorithmically was proposed and a corresponding function was derived out. …”
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Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…Experimental studies have been conducted to verify the proposed algorithm with neural network compensation, which shows that 97% error of the AACMM can be eliminated after compensation. …”
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Fog Study at Ardabil Airport for the Statistical Period From 2011 to 2020 by Razieh Pahlavan, Mohammad Moradi, Sahar Tajbakhsh, Majid Azadi, Mehdi Rahnama

“…In this study, METAR data from 2011 to 2020 were used to detect fog events at Ardebil Airport and according to the classification algorithm of Tardif and Rasmussen (2007), the types of events were determined. …”
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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method by Seungyeoun Lee, Donghee Son, Wenbao Yu, Taesung Park

“…For gene-gene interaction analysis, the multifactor dimensionality reduction (MDR) method has been widely applied, since the constructive induction algorithm of MDR efficiently reduces high-order dimensions into one dimension by classifying multi-level genotypes into high- and low-risk groups. …”
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