Optimal control analysis of COVID-19 stochastic model with comprehensive strategies by Junmei Liu, Yonggang Ma

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Stochastic Model for a Piezoelectric Energy Harvester Driven by Broadband Vibrations by Angelo Sanfelice, Luigi Costanzo, Alessandro Lo Schiavo, Alessandro Sarracino, Massimo Vitelli

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A stochastic model for the dynamics of electromagnetic waves connected to each other on the mirror by A.M. Basharov

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An aggregate stochastic model incorporating individual dynamics for predation movements of anelosimus studiosus by Alex John Quijano, Michele L. Joyner, Edith Seier, Nathaniel Hancock, Michael Largent, Thomas C. Jones

Subjects: “…stochastic model…”
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An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field by Anna Šušnjara, Dragan Poljak

“…The paper deals with the deterministic-stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field. …”
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Stochastic modelling of PTEN regulation in brain tumors: A model for glioblastoma multiforme by Margherita Carletti, Matteo Montani, Valentina Meschini, Marzia Bianchi, Lucia Radici

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Optimizing microbe-infected mosquito release: a stochastic model for malaria prevention by Steeven Belvinos Affognon, Steeven Belvinos Affognon, Henri E. Z. Tonnang, Henri E. Z. Tonnang, Philip Ngare, Benard Kipchumba Kiplangat, Shirley Abelman, Jeremy K. Herren

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Enhanced Stochastic Models for VLBI Invariant Point Estimation and Axis Offset Analysis by Chang-Ki Hong, Tae-Suk Bae

Subjects: “…stochastic model…”
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A Mechanistic, Stochastic Model Helps Understand Multiple Sclerosis Course and Pathogenesis by Isabella Bordi, Renato Umeton, Vito A. G. Ricigliano, Viviana Annibali, Rosella Mechelli, Giovanni Ristori, Francesca Grassi, Marco Salvetti, Alfonso Sutera

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Stochastic model of Alzheimer's disease progression using two-state Markov chains. by Meaghan Elizabeth Parks

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Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective by Rasaki, Olawale Olanrewaju, Nafiu, Lukman Abiodun, Abdisalam, Hassan Muse, Thierno, Souleymane Barry

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Stochastic Modeling of Rainfall in Peninsular Malaysia Using Bartlett Lewis Rectangular Pulses Models by Ibrahim Suliman Hanaish, Kamarulzaman Ibrahim, Abdul Aziz Jemain

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Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo by Xu Liao, Lican Kang, Yihao Peng, Xiaoran Chai, Peng Xie, Chengqi Lin, Hongkai Ji, Yuling Jiao, Jin Liu

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A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data by M. El-Morshedy, M. S. Eliwa, Afrah Al-Bossly, Haitham M. Yousof

“…The main aim of the paper is to propose and study a new heavy-tail model for stochastic modeling under engineering data. After studying and analyzing its mathematical properties, different classical estimation methods such as the ordinary least square, Cramér-von Mises, weighted least square, maximum likelihood, and Anderson–Darling estimation along with its corresponding left-tail and right-tail estimation methods are considered. …”
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An individual, stochastic model of growth incorporating state-dependent risk and random foraging and climate by William Wolesensky, J. David Logan

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An Improved Stochastic Model for the Geodetic GNSS Receivers Under Ionospheric Scintillation at Low Latitudes by Xiaomin Luo, Yingzong Lin, Xiaolei Dai, Shaofeng Bian, Dezhong Chen

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Stochastic models allow improved inference of microbiome interactions from time series data. by Román Zapién-Campos, Florence Bansept, Arne Traulsen

“…Starting from a stochastic model, we derive dynamical equations not only for the average, but also for higher statistical moments of the microbial abundances. …”
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Stochastic modeling of plant-insect interaction dynamics with MEMS-based monitoring and noise effects by Qura Tul Ain, Xiaoli Qiang, Noor Ul Ain, Zheng Kou

“…Results indicate that our stochastic model is superior as it shows a significant reduction in BIK1 levels, particularly under higher noise intensities, which enhances PAD4 activity and improves plant defense mechanisms. …”
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STOCHASTIC MODEL UPDATING BASED ON THE KRIGING MODEL AND WAVELET PACKET ENERGY SPECTRUM (MT) by SUN YongPeng, PENG ZhenRui, BAI Yu

“…Aiming at the low accuracy and efficiency of stochastic model updating, a stochastic finite element model updating method based on the Kriging model and wavelet packet energy spectrum was proposed. …”
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The application of predictive stochastic model based on Monte Carlo method in building energy saving renovation by Juxian Xiao

“…The research results indicate that the proposed Monte Carlo based predictive stochastic model exhibits good predictive performance in building energy-saving renovation, providing theoretical guidance and reference for feasibility studies, planning, prediction, decision-making, and optimization of building energy-saving renovation.…”
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