Insulator Defect Recognition Based on Vision Big-Model Transfer Learning and Stochastic Configuration Network by Siyuan Liu, Yihua Ma, Zedong Zheng, Xinfu Pang, Bingyou Li

“…In response to problems related to inefficient insulator positioning, limited robustness of insulator defect feature extraction methods, and the scarcity of defective insulator samples leading to poor classifier generalization, a method for insulator defect detection and recognition based on vision big-model transfer learning and a stochastic configuration network (SCN) is proposed. …”
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A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation by Xiurong Zhang, Daoliang Li, Xueqian Fu

“…Abstract A novel Wasserstein generative adversarial network (WGAN) is proposed for stochastic wind power output scenario generation. Wasserstein distance with gradient penalty adapts to the gradient vanishing problem that is easy to occur in the new energy generation scenario. …”
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Optimized Efficiency at Two Optimum Operations of a Stochastically Driven Quantum Dot Heat Engine by Yigermal Bassie, Tibebe Birhanu, Yoseph Abebe, Mulugeta Bekele

“…We take a stochastically driven single-level quantum dot embedded between two metallic leads at different temperatures works as a heat engine. …”
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The Stochastic Resonance Behaviors of a Generalized Harmonic Oscillator Subject to Multiplicative and Periodically Modulated Noises by Suchuan Zhong, Kun Wei, Lu Zhang, Hong Ma, Maokang Luo

“…The stochastic resonance (SR) characteristics of a generalized Langevin linear system driven by a multiplicative noise and a periodically modulated noise are studied (the two noises are correlated). …”
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Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li, Fei Li

Subjects: “…stochastic resonance…”
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Supply Chain Investment in Carbon Emission-Reducing Technology Based on Stochasticity and Low-Carbon Preferences by Shan Yu, Qiang Hou

“…Based on this background, this paper considers the impact of consumer low-carbon preferences on market demand and the impact of uncertainty in carbon emission-reduction behaviour. We construct a stochastic differential game model with upstream and downstream enterprises based on cost-sharing coordination under a cost subsidy. …”
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Estimation of parameters for the stochastic linear delay growth law through the L1 distance procedure by Petras Rupšys

Subjects: “…stochastic delay differential equation…”
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Stochastic population models to identify optimal and cost‐effective harvest strategies for feral pig eradication by Peter W. Hamnett, Frédérik Saltré, Brad Page, Myall Tarran, Matt Korcz, Kate Fielder, Lindell Andrews, Corey J. A. Bradshaw

“…We used effort and cost data from a feral pig‐control program on Kangaroo Island, South Australia, over 17 months to derive functional‐response relationships between control effort (in hours per pig) and pig abundance for four control methods: (1) ground‐based shooting, (2) trapping with remote triggers, (3) poison baiting, and (4) thermal‐assisted aerial culling. We developed a stochastic Leslie matrix with compensatory density feedback on survival to project population trajectories from an initial population (N0) of 250 female pigs with an estimated island‐wide carrying capacity (K) of 2500 over 3 and 10 years for populations subjected to an annual harvest of 35%–95%. …”
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Analyzing wealth distribution effects of artificial intelligence: A dynamic stochastic general equilibrium approach by Fang Liu, Chen Liang

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Primordial black holes from effective field theory of stochastic single field inflation at NNNLO by Sayantan Choudhury, Ahaskar Karde, Pankaj Padiyar, M. Sami

“…Abstract We present a study of the Effective Field Theory (EFT) generalization of stochastic inflation in a model-independent single-field framework and its impact on primordial black hole (PBH) formation. …”
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Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD by Dongying Han, Xiao Su, Peiming Shi

“…For solving detection problems of multifrequency weak signals in noisy background, a novel weak signal detection method based on variational mode decomposition (VMD) and rescaling frequency-shifted multistable stochastic resonance (RFMSR) with analytical mode decomposition (AMD) is proposed. …”
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A hydropower plant scheduling model considering the stochastic correlation between runoff and electricity prices by WU Ying, WANG Juefei, LI Junjie, WANG Kun, SHEN Yan, WU Yingjun

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THE RADIATION DOSE PROFILE IN PEDIATRIC INTERVENTIONAL CARDIOLOGY TO ESTIMATE THE STOCHASTIC EFFECT RISK: PRELIMINARY STUDY by Lailatul Muqmiroh, Soegardo Indra Praptono, Rusmanto Rusmanto, Risalatul Latifah, nggraini Dwi Sensusiati

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Dynamic Analysis of Stochastic Lotka–Volterra Predator-Prey Model with Discrete Delays and Feedback Control by Jinlei Liu, Wencai Zhao

“…In this paper, a stochastic Lotka–Volterra predator-prey model with discrete delays and feedback control is studied. …”
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Stochastic Finite-Time H∞ Performance Analysis of Continuous-Time Systems with Random Abrupt Changes by Bing Wang

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IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service by Reza Aghazadeh Ayoubi, Dario Tagliaferri, Filippo Morandi, Luca Rinaldi, Laura Resteghini, Christian Mazzucco, Umberto Spagnolini

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A Method to Dynamic Stochastic Multicriteria Decision Making with Log-Normally Distributed Random Variables by Xin-Fan Wang, Jian-Qiang Wang, Sheng-Yue Deng

“…We investigate the dynamic stochastic multicriteria decision making (SMCDM) problems, in which the criterion values take the form of log-normally distributed random variables, and the argument information is collected from different periods. …”
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Numerical Calculation of Optimal Policy Pairs in Zero-sum Stochastic Games with Varying Discount Factors by Xiao Wu, Yanqiu Tang

“…In this study, the numerical calculation of optimal policy pairs in two-person zero-sum stochastic games with unbounded reward functions and state-dependent discount factors are studied. …”
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Viscosity Solutions and American Option Pricing in a Stochastic Volatility Model of the Ornstein-Uhlenbeck Type by Alexandre F. Roch

“…We study the valuation of American-type derivatives in the stochastic volatility model of Barndorff-Nielsen and Shephard (2001). …”
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A stochastic model for water-vegetation systems and the effect of decreasing precipitation on semi-arid environments by Shannon Dixon, Nancy Huntly, Priscilla E. Greenwood, Luis F. Gordillo

“…In this paper we present a model for precipitation-vegetation dynamics in semi-arid landscapes that can be used to explore numerically the impact of decreasing precipitation trends on appearance of desertification events. The model, a stochastic differential equation approximation derived from a Markov jump process, is used to generate extensive simulations that suggest a relationship between precipitation reduction and the desertification process, which might take several years in some instances.…”
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