Inverse Strategies for Identifying the Parameters of Constitutive Laws of Metal Sheets by P. A. Prates, A. F. G. Pereira, N. A. Sakharova, M. C. Oliveira, J. V. Fernandes

“…It highlights that the identification procedure is dictated by the loading conditions, the geometry of the sample, the type of experimental results selected for the analysis, the cost function, and optimization algorithm used. Also, the type of constitutive law (isotropic and/or kinematic hardening laws and/or anisotropic yield criterion), whose parameters are intended to be identified, affects the whole identification procedure.…”
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DIAGNOSTIC IMAGING STANDARDS FOR BONE METASTASES by N. I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy

“…Based on the analysis and statistic processing of 236 foci of metastatic lesion, the diagnostic informative value of each of the imaging modalities and the algorithm as a whole were assessed, and the reference values were determined. …”
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Block Newtonised orthogonal matching pursuit for off‐grid DOA estimation in the presence of unknown mutual coupling by Wen‐Gen Tang, Hong Jiang, Qi Zhang

“…First, the model of DOA estimation with MC is block sparsely represented to fully utilise the whole array aperture. Then, a block NOMP algorithm with multiple measurement vectors (MMV) is developed to achieve the estimates of DOA, in which the Newton refinement procedure is presented by deriving the first‐ and second‐order derivatives of the block steering matrix with respect to the angle grid. …”
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Efficient Intelligent Energy Routing Protocol in Wireless Sensor Networks by Farzad Kiani, Ehsan Amiri, Mazdak Zamani, Touraj Khodadadi, Azizah Abdul Manaf

“…In the new protocol is proposed an intelligent routing protocol algorithm. It is based on reinforcement learning techniques. …”
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Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty by LI Jianlin, ZHANG Zedong, LIANG Ce, ZENG Fei

“…Under the construction of a new power system, the integrated energy system with electricity-thermal-hydrogen interconnection will become one of the important development directions, but its whole life cycle operation economy and energy supply reliability are affected by the initial equipment capacity and daily operation scheme of the system. …”
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Part-Based Visual Tracking via Online Weighted P-N Learning by Heng Fan, Jinhai Xiang, Jun Xu, Honghong Liao

“…We propose a novel part-based tracking algorithm using online weighted P-N learning. An online weighted P-N learning method is implemented via considering the weight of samples during classification, which improves the performance of classifier. …”
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Optimum Design of Multi-Section Asymmetrical Transdirectional Couplers with Port Impedance Matching up to S Band Frequency by Homayoon Oraizi, Mohammad Javad Siahkari

“…Error minimization is implemented by the combination of genetic algorithm (GA) and conjugate gradient method (CGM). …”
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Complex dynamics of a family Cubic-Logistic map by baraa ahmed, Salma Muslih Farris

“…Finally, we use escaping algorithm to construct the Fatou and Julia sets of our maps for various values of λ.…”
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Analysis of optimal configuration of energy storage in wind-solar micro-grid based on improved gray wolf optimization by Huang Qian, Huang Dengke, Cai Li, Xu Qingshan

“…Comparing the difference between energy storage without an installation and energy storage with improved algorithm, it is shown that the energy storage configuration of the improved gray wolf optimization improves the economy, efficient energy use, and revenue of the whole system.…”
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Analysis of Viability as Readout of Lymphocyte Transformation Test in Drug Hypersensitivity Diagnostics by András Gyovai, Gabriella Metzler, Krisztián Papp, József Prechl

“…In vitro tests of cellular activity form part of the diagnostic algorithm of drug hypersensitivity reactions. Because of the wide range of pharmacological mechanisms, clinical symptoms, genetic components, and laboratory tests involved, it is important to know how a particular test performs in the diagnostic procedure. …”
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Designing natural gesture interaction for archaeological data in immersive environments by Niccolò Albertini, Andrea Brogni, Riccardo Olivito, Emanuele Taccola, Baptiste Caramiaux, Marco Gillies

“…In this paper, we describe the whole process for the design and development of a prototype application that uses an Immersive Virtual Reality system to acces archaeological excavation3Ddata through the Gesture Variation Follower (GVF) algorithm. …”
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WANG TILES LOCAL TILINGS CREATED BY MERGING EDGE-COMPATIBLE FINITE ELEMENT MESHES by Lukáš Zrůbek, Anna Kučerová, Martin Doškář

“…Opposite to the repeating pattern of PUC the Wang Tiles method with the stochastic tiling algorithm preserves the randomness for reconstructed microstructures. …”
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Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification by Keming Mao, Renjie Tang, Xinqi Wang, Weiyi Zhang, Haoxiang Wu

“…The visual vocabulary is constructed based on the local features and bag of visual words (BOVW) is used to describe the global feature representation of lung nodule image. Finally, softmax algorithm is employed for lung nodule type classification, which can assemble the whole training process as an end-to-end mode. …”
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CIDER: Context-sensitive polarity measurement for short-form text. by James C Young, Rudy Arthur, Hywel T P Williams

“…In this paper, we detail the CIDER algorithm and demonstrate that it outperforms state-of-the-art generalist unsupervised sentiment analysis techniques on a large collection of tweets about the weather. …”
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Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data. by Qihai Liu, Kevin H Lee, Hyun Bin Kang

“…We further design an estimation method for MFGM using an iterative Expectation-Maximization (EM) algorithm and functional graphical lasso (fglasso). …”
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Research on power correction control methods for diesel locomotives operating at high altitudes by ZHAO Gang

“…Furthermore, the validity of the proposed algorithm was verified through field experiments, where the power outputs of the diesels were maximized while ensuring their operational reliability.…”
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Generating Dark Matter Subhalo Populations Using Normalizing Flows by Jack Lonergan, Andrew Benson, Daniel Gilman

“…We demonstrate that the normalizing flow algorithm accurately reproduces the Galacticus subhalo distribution while significantly reducing computation time compared to direct simulation. …”
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Multidimensional Resource Task Scheduling Based on Particle Swarm Optimization in Edge Computing by Zhonglu Zou, Zhuxin Zhai, Xin Yan, Zilin You, Liming Chen

“…The proposed approach enables the simultaneous scheduling of multiple tasks while iteratively adjusting the inertia weight and learning factors in the discrete particle swarm optimization (DPSO) algorithm. …”
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Mixed Balanced Truncation for Reducing the Complexity of Large-Scale Electrical and Electronic System Simulations by Huy-Du Dao, Thanh-Tung Nguyen, Ngoc-Kien Vu, Van-Ta Hoang, Hong-Quang Nguyen

“…This paper proposes the Mixed Balanced Truncation (MBT) algorithm, which combines the strengths of Balanced Truncation (BT) and Positive-Real Balanced Truncation (PRBT) while addressing their respective limitations. …”
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A cooperative jamming resource allocation method based on PSO-SSNOA by Wei Liu, You Chen, Xiaohong Zhao, Dejiang Lu, Tianjian Yang

“…This approach innovatively integrates Particle Swarm Optimization (PSO) with the Nutcracker Optimization Algorithm (NOA), while enhancing the nutcracker’s behavioral patterns through seasonal adaptation strategies. …”
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