An Overview of Human Pose Estimation Based on Wireless Signals by Yan CHEN, Rui ZHANG, Yadong LI, Ruiyuan SONG, Ruixu GENG, Hanqin GONG, Binquan WANG, Dongheng ZHANG, Yang HU

“…These methods differ in their hardware systems, signal characteristics, noise processing, and deep learning algorithm design based on the signal frequency used. …”
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Power decoupling method for synchronous reference frame-based vector control by Zhen Gong, Xiaorong Xie, Chengxi Liu, Filipe Faria da Silva, Yonghao Gui

“…Next, a power decoupling strategy for SRF-VC is proposed based on a dynamic feedforward power compensation (DFPC) algorithm, and its power decoupling capability is analyzed based on the transfer function. …”
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Federated Learning Based on OPTICS Clustering Optimization by Chenyang Lu, Su Deng, Yahui Wu, Haohao Zhou, Wubin Ma

“…Experiments indicate that OCFL greatly improves the model accuracy and training speed compared with the traditional FL algorithm.…”
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Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar by Yu Tao, Gong Zhang, Jindong Zhang

“…Joint orthogonal matching pursuit (JOMP) algorithm is proposed to recover sparse targets scene. …”
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Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency by Ling Du, Zhen Chen, Yongzhen Ke

“…In this paper, we propose a Multi-View Semi-supervised Hashing algorithm with Perceptual Saliency (MV-SHPS), which explores supervised information and multiple features into hashing learning simultaneously. …”
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Applications of Generalized Cascade Scattering Matrix on the Microwave Circuits and Antenna Arrays by Shun-Feng Cao, Yong-Chang Jiao, Zheng Zhang

“…By inserting the ILSRNs, the complex interconnections can be converted into the standard one-by-one case without changing the characteristics of the previous microwave networks. Based on the algorithm of the generalized cascade scattering matrix, a useful derivation on the excitation coefficients of antenna arrays is firstly proposed with consideration of the coupling effects. …”
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Achieving Fair Spectrum Allocation and Reduced Spectrum Handoff in Wireless Sensor Networks: Modeling via Biobjective Optimization by Sang-Seon Byun, Kimmo Kansanen, Ilangko Balasingham, Joon-Min Gil

“…The results obtained from the numerical experiments show that, by adjusting the weight on each objective function, the proposed algorithm allocates spectrum bands fairly with well observing each sensor’s priority and reduced spectrum handoffs.…”
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Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising by Tianyu Fu, Kai Zhang, Qingxi Yuan, Jizhou Li, Piero Pianetta, Yijin Liu

“…To address this issue, a deep learning‐based algorithm is developed for suppressing the image noise, grounded in self‐supervised learning principles. …”
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Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation by Judy Day, Jonathan Rubin, Gilles Clermont

“…In this work, we pursue this goal by implementing a nonlinear model predictive control (NMPC) algorithm in the context of a reduced computational model of the acute inflammatory response to severe infection. …”
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Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation by Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert

“…Here, we introduce a novel algorithm (MIIC-SDG) for generating synthetic data from electronic records based on a multivariate information framework and Bayesian network theory. …”
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Grid-Based Anomaly Detection of Freight Vehicle Trajectory considering Local Temporal Window by Zixian Zhang, Geqi Qi, Avishai (Avi) Ceder, Wei Guan, Rongge Guo, Zhenlin Wei

“…In this paper, a grid-based algorithm, which combines the spatial and temporal anomaly detection, is proposed for tracing the risk of urban freight vehicles trajectory by considering local temporal window. …”
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Novel Web Service Selection Model Based on Discrete Group Search by Jie Zhai, Zhiqing Shao, Yi Guo, Haiteng Zhang

“…We propose the cost function and the discrete group search optimizer (D-GSO) algorithm and study the convergence of the D-GSS model through verification and test cases.…”
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Comparative Glycopeptide Analysis for Protein Glycosylation by Liquid Chromatography and Tandem Mass Spectrometry: Variation in Glycosylation Patterns of Site-Directed Mutagenized... by Young Hye Hahm, Sung Ho Hahm, Hyoun Young Jo, Yeong Hee Ahn

“…In this study, glycopeptide mapping of a reference and biosimilar recombinant antibodies (rAbs) was performed using liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) and an automated Glycoproteome Analyzer (GPA) algorithm. The tandem mass analyses for the reference and biosimilar samples indicate that this approach proves to be highly efficient in reproducing consistent analytical results and discovering the implications of different rAb production methods on glycosylation patterns. …”
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Photovoltaic Energy Conversion System Constructed by High Step-Up Converter with Hybrid Maximum Power Point Tracking by K. I. Hwu, W. C. Tu, C. R. Wang

“…After this, such a converter operating with a suitable initial duty cycle of the pulsewidth-modulated (PWM) control signal, together with the proposed HMPPT algorithm combining the fractional open-circuit voltage method and the incremental conductance method, is applied to the photovoltaic energy conversion system. …”
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Multicompare Tests of the Performance of Different Metaheuristics in EEG Dipole Source Localization by Diana Irazú Escalona-Vargas, Ivan Lopez-Arevalo, David Gutiérrez

“…We study the use of nonparametric multicompare statistical tests on the performance of simulated annealing (SA), genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE), when used for electroencephalographic (EEG) source localization. …”
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Optimization Analysis of Automotive Asymmetric Magnetic Pole Permanent Magnet Motor by Taguchi Method by Wenchao Zhang, Liwei Shi, Kaiwen Liu, Lintao Li, Jianning Jing

“…The Taguchi method is used to be a multiobjective optimization algorithm. The total harmonic distortion of the air-gap flux density is the first optimization goal. …”
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Intelligent and Adaptive Web Data Extraction System Using Convolutional and Long Short-Term Memory Deep Learning Networks by Sudhir Kumar Patnaik, C. Narendra Babu, Mukul Bhave

“…This study investigates an intelligent and adaptive web data extraction system with convolutional and Long Short-Term Memory (LSTM) networks to enable automated web page detection using the You only look once (Yolo) algorithm and Tesseract LSTM to extract product details, which are detected as images from web pages. …”
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Optimal Trajectory Planning and Linear Velocity Feedback Control of a Flexible Piezoelectric Manipulator for Vibration Suppression by Junqiang Lou, Yanding Wei, Guoping Li, Yiling Yang, Fengran Xie

“…And the sum of the link vibration energy is chosen as the objective function. Then, genetic algorithm is used to determine the optimal trajectory. …”
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Nonfragile H∞ Stabilizing Nonlinear Systems Described by Multivariable Hammerstein Models by Zeineb Rayouf, Chekib Ghorbel, Naceur Benhadj Braiek

“…First, the parameters of linear and nonlinear blocks characterizing the multivariable Hammerstein model structure are separately estimated by using a subspace identification algorithm. Second, approximate inverse nonlinear functions of polynomial form are proposed to deal with nonbijective invertible nonlinearities. …”
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Formal Analysis of Fairness for Optimistic Multiparty Contract Signing Protocol by Xiaoru Li, Xiaohong Li, Guangquan Xu, Jing Hu, Zhiyong Feng

“…Furthermore, for solving or mitigating the state space explosion problem, we set a state reduction algorithm which can decrease the redundant states properly and reduce the time and space complexity greatly. …”
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