Applying an optimized low risk model for fast history matching in giant oil reservoir by Mojtaba karimi, Ali Mortazavi, Mohammad Ahmadi

“…Finally, the process was optimized by two main algorithms for reaching best solutions which are genetic and particle swarm optimization. …”
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Numerical Solution of Diffusion Models in Biomedical Imaging on Multicore Processors by Luisa D'Amore, Daniela Casaburi, Livia Marcellino, Almerico Murli

“…In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection type underlying most problems in image analysis. …”
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Extracting speech spectrogram of speech signal based on generalized S-transform. by Li Jiashen, Zhang Xianwu

“…The flexibility of an algorithm in providing different resolutions is crucial for these applications. …”
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Real-Time Analysis of Athletes’ Physical Condition in Training Based on Video Monitoring Technology of Optical Flow Equation by Cuijuan Wang

“…The simulation results show that the algorithm can achieve long-term stable tracking of moving targets in the mine, and it can also achieve continuous tracking of partially occluded moving targets.…”
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Hybrid ANN-PSO Based MPPT Optimization for Enhanced Solar Panel Efficiency by Muhammad ilham hasby Hamzah, Happy Aprillia, Andhika Giyantara

“…In this research, a hybrid approach that combines Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) algorithms is used to optimize the Maximum Power Point Tracking (MPPT) system for solar panels. …”
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Modified and Improved TID Controller for Automatic Voltage Regulator Systems by Abdulsamed Tabak

“…In this study, equilibrium optimisation (EO), multiverse optimisation (MVO), and particle swarm optimisation (PSO) algorithms are used to optimise the parameters of the proposed controller and statistical tests are performed with the data obtained from the application of these three algorithms to the AVR problem. …”
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Structures of immature EIAV Gag lattices reveal a conserved role for IP6 in lentivirus assembly. by Robert A Dick, Chaoyi Xu, Dustin R Morado, Vladyslav Kravchuk, Clifton L Ricana, Terri D Lyddon, Arianna M Broad, J Ryan Feathers, Marc C Johnson, Volker M Vogt, Juan R Perilla, John A G Briggs, Florian K M Schur

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Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning by Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner

“…Besides DAS, the dataset from 16 May to 30 June 2023 includes Doppler radar data for partially ground‐truth labeling. The proposed algorithm is capable of distinguishing between rock‐slope failures and background noise, including road and train traffic, with a detection precision of over 95%. …”
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Removal of fog from hazy images and their restoration by Vidya Nitin More, Vibha Vyas

“…The proposed algorithm has also been implemented using a Raspberry pi. …”
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ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System by Markus Schwarz, Ludwig Christian Hinske, Ulrich Mansmann, Fady Albashiti

“…Results: We were able to successfully apply our 30-question catalog to the sepsis ML algorithm development project. 37% of the questions were rated as fully addressed, 33% of the questions as partially addressed and 30% of the questions as not addressed, based on the first auditor. …”
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An adaptive defense mechanism to prevent advanced persistent threats by Yi-xi Xie, Li-xin Ji, Ling-shu Li, Zehua Guo, Thar Baker

“…In the first stage, a forward–backward algorithm with a time window is employed to perform a security risk assessment. …”
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Variational approach to photonic quantum circuits via the parameter shift rule by Francesco Hoch, Giovanni Rodari, Taira Giordani, Paul Perret, Nicolò Spagnolo, Gonzalo Carvacho, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Fabio Sciarrino

“…In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum circuits with the aid of classical routines informed by quantum measurements. …”
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Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks by Davide Caputo, Francesco Grimaccia, Marco Mussetta, Riccardo E. Zich

“…In order to maximize the network lifespan, in this paper, genetical swarm optimization (GSO) is applied, a class of hybrid evolutionary techniques developed in order to exploit in the most effective way the uniqueness and peculiarities of two classical optimization approaches; particle swarm optimization (PSO) and genetic algorithms (GA). …”
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Nephelometer Sensitivities for the Determination of PM2.5 Mass Concentration in Ambient and Indoor Air by Dimitra Karali, Glykeria Loupa, Spyridon Rapsomanikis

“…Abstract Simple algorithms are presented for the relationships between the gravimetrically measured PM2.5 mass concentration and a nephelometer particle scattering coefficient, for three different environments: two outdoor locations (an urban and a suburban) and one indoors. …”
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From Halos to Galaxies. VI. Improved Halo Mass Estimation for SDSS Groups and Measurement of the Halo Mass Function by Dingyi Zhao, Yingjie Peng, Yipeng Jing, Xiaohu Yang, Luis C. Ho, Alvio Renzini, Anna R. Gallazzi, Cheqiu Lyu, Roberto Maiolino, Jing Dou, Zeyu Gao, Qiusheng Gu, Filippo Mannucci, Houjun Mo, Bitao Wang, Enci Wang, Kai Wang, Yu-Chen Wang, Bingxiao Xu, Feng Yuan, Xingye Zhu

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Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance by Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping

“…A strong tracking cubature Kalman filter(STCKF) method is proposed to overcome the challenges of insufficient nonlinear approximation capability and decreased tracking accuracy of traditional filtering algorithms in dealing with complex maneuvering targets. …”
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Kinematic Calibration of Industrial Robots Based on Distance Information Using a Hybrid Identification Method by Guanbin Gao, Yuan Li, Fei Liu, Shichang Han

“…To solve the problem that traditional optimization algorithms are easily affected by data noise in high dimension identification, a novel extended Kalman filter (EKF) and regularized particle filter (RPF) hybrid identification method is presented. …”
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Aero Engine Component Fault Diagnosis Using Multi-Hidden-Layer Extreme Learning Machine with Optimized Structure by Shan Pang, Xinyi Yang, Xiaofeng Zhang

“…OM-ELM employs quantum-behaved particle swarm optimization to automatically obtain the optimal network structure according to both the root mean square error on training data set and the norm of output weights. …”
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Analysis of Dynamic Transaction Fee Blockchain Using Queueing Theory by Koki Inami, Tuan Phung-Duc

“…Although several consensus algorithms have been proposed to solve these problems, their performance has not been fully evaluated. …”
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TOPICAL PROBLEMS IN UROGYNAECOLOGY. URINARY INCONTINENCE IN WOMEN (LECTURE) by A. I. Neimark, M. V. Razdorskaya

“…Complete urinary incontinence is observed in patients with genitourinary fistulae. Partial urinary incontinence means a urinary incontinence upon exertion or stress urinary incontinence, imperative and combined urinary incontinence. …”
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