Autocorrelation properties of temporal networks governed by dynamic node variables by Harrison Hartle, Naoki Masuda

“…We study synthetic temporal networks whose evolution is determined by stochastically evolving node variables—synthetic analogues of, e.g., temporal proximity networks of mobile agents. …”
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Microscopic irreversibility by Karl Gustafson

“…There is no doubt in my mind that Professor Prigogine firmly believed in the underlying stochasticity of the universe. Second, I will summarize my curiosity about the principle of detailed balance. …”
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Preliminary analysis of an agent-based model for a tick-borne disease by Holly Gaff

“…In addition, any model of these interactionsmust involve a significant degree of stochasticity on the individual tick level.In an attempt to quantify these relationships, I have developed an individual-basedmodel of the interactions between ticks and their hosts as well as the transmissionof tick-borne disease between the two populations. …”
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Influence of Genetic Variation in Oak Leaf Roller Pupae and Their Host Plants on Body Sizes of Their Parasitoids, Itoplectis maculator (Fabricius, 1775) by Andrey Simchuk, Anatoly Ivashov

“…As a result the genotypes of representatives of the studied food chain links were found to be stochastically associated.…”
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Delay-Dependent H∞ Control for Descriptor Markovian Jump Systems with Time-Varying Delay by Jinghao Li, Qingling Zhang, Ding Zhai, Yi Zhang

“…By constructing various Lyapunov-Krasovskii functionals for different subsystems, together with delay decomposition method, a new delay-dependent bounded real lemma (BRL) is derived, under which descriptor Markovian jump time-delay systems are regular, impulse-free, and stochastically stable and satisfy a prescribed H∞ performance level. …”
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Vision of objects happens faster and earlier for location than for identity by Christian H. Poth, Werner X. Schneider

“…Visual processing was faster and started earlier for spatial location than for object identity, even though the processing of the features was (stochastically) independent. Together, these findings reveal an intrinsic preference of the human visual system for the perceptual processing of space as opposed to visual features such as categorical identity.…”
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An Integrative lifecycle design approach based on carbon intensity for renewable-battery-consumer energy systems by Aoye Song, Yuekuan Zhou

“…However, the lack of an appropriate approach without considering renewable intermittence and demand stochasticity will lead to capacity oversizing or undersizing. …”
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Impact of Capacity Drop on Commuting Systems under Uncertainty by Wenwei Zhang, Hui Zhao, Rui Jiang

“…For clarity, we assume that the capacity drop is triggered by the queue forming at the bottleneck under the hypercongestion circumstances, and the stochasticity of the drop could not be neglected. Considering the uncertainty of travel time, we establish a bottleneck model with commuters choosing their departure time according to the mean travel cost. …”
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Simultaneous Pose and Correspondence Estimation Based on Genetic Algorithm by Haiwei Yang, Fei Wang, Zhe Li, Hang Dong

“…Finally, the fittest individual is stochastically selected from the final population. With the presented initialization method, the proper initial guess could be first calculated and then the simultaneous pose and correspondence estimation problem could be solved easily. …”
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Fault Detection Filter Design of Polytopic Uncertain Continuous-Time Singular Markovian Jump Systems with Time-Varying Delays by Yunling Shi, Xiuyan Peng

“…By constructing a new Lyapunov function, sufficient conditions are firstly provided for the singular model error augmented system such that the system is stochastically admissible with an H∞ performance level γ. …”
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Bioeconomic analysis of the commercial production of Nile tilapia with biofloc and green water technologies by Berenice Suárez-Puerto, Marcelo Araneda, Mariel Gullian-Klanian

“…This study presents a bioeconomic model after analyzing the commercial profitability of Nile tilapia under biofloc (BFT) and green water (GWT) technologies. Environmental stochasticity was evaluated using the parameters obtained in Yucatan's rainy (RN) and dry (DR) seasons. …”
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A Holistic Approach to the Efficient Estimation of Operational Flexibility From Distributed Resources by Nikolaos Savvopoulos, Nikos Hatziargyriou, Hannu Laaksonen

“…The proposed approach integrates the stochasticity of the flexibility resources using a scenario-based robust optimization and incorporates the intertemporal constraints of DER into the estimation process, ensuring a realistic representation of the flexibility capability over time. …”
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Diffusion rate determines balance between extinction and proliferationin birth-death processes by Hilla Behar, Alexandra Agranovich, Yoram Louzoun

“…   When the stochasticity of the reactions, the presence of discretereactants and their spatial distribution is incorporated into theanalysis, a non-uniform reactant distribution emerges, even when allparameters are uniform in space.…”
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SPICE-Level Demonstration of Unsupervised Learning With Spintronic Synapses in Spiking Neural Networks by Salah Daddinounou, Anteneh Gebregiorgis, Said Hamdioui, Elena-Ioana Vatajelu

“…The implementation is based on parallel-connected Magnetic Tunnel Junction (MTJ) devices and exploits their inherent stochasticity. In addition, it uses a dedicated unsupervised learning rule based on optimized Spike-Timing-Dependent Plasticity (STDP). …”
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Random resistive memory-based deep extreme point learning machine for unified visual processing by Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

“…Hardware-wise, nanoscale resistive memory enables collocation of memory and processing, and leverages the inherent programming stochasticity for generating random weights. The co-design system is validated on 3D segmentation (ShapeNet), event recognition (DVS128 Gesture), and image classification (Fashion-MNIST) tasks, achieving accuracy comparable to conventional systems while delivering 6.78 × /21.04 × /15.79 × energy efficiency improvements and 70.12%/89.46%/85.61% training cost reductions.…”
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting by Ping Lou, Zihao Wu, Jiwei Hu, Quan Liu, Qin Wei

“…It is challenging since the traffic flow has highly non-linear and complex patterns due to external factors such as time and space. Due to the high stochasticity and uncertainty of traffic flow, the difficulty of traffic flow prediction increases gradually with increasing time steps. …”
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Local resource competition and the skewness of the sex ratio: a demographic model by Lorenzo Mari, Marino Gatto, Renato Casagrandi

“…We model spatially structured semelparous populations whereeither Ricker density dependence or environmental stochasticity can generateirregular spatiotemporal patterns. …”
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Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities by Jiazheng Liu, Yang Yang, Yaru Song

“…Through the application of Lyapunov equations and linear matrix inequality techniques, sufficient conditions are derived that ensure the resulting system is stochastically stable with/without nonideal transition probabilities and satisfies specific cost bounds under three different initial boundary conditions. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

“…Additionally, existing studies often overlook several critical areas such as overcoming data scarcity, security and privacy concerns, managing the inherent stochasticity of demand data, selecting forecasting methods for a specific feature, and developing standardized performance metrics. …”
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Detailed Nonlinear Modeling and High-Fidelity Parallel Simulation of MMC With Embedded Energy Storage for Wind Farm Grid Integration by Bingrong Shang, Ning Lin, Venkata Dinavahi

“…Integration of renewable energy is increasingly prevalent, yet its stochasticity may compromise the stability of the power system. …”
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