Privacy-Preserving Hierarchical Reinforcement Learning Framework for Task Offloading in Low-Altitude Vehicular Fog Computing by Zhiwei Wei, Jingxin Mao, Bing Li, Rongqing Zhang

“…Vehicular Fog Computing (VFC) is a promising paradigm in intelligent transportation systems (ITS), which offloads computation-intensive tasks to mobile fog nodes for real-time and low-latency services. …”
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Randomized Purifier Based on Low Adversarial Transferability for Adversarial Defense by Sangjin Park, Yoojin Jung, Byung Cheol Song

“…However, since they require a great number of diffusion steps or sampling steps in purifying attacked images, their computational cost is burdensome. To significantly reduce the computational cost while maintaining the performance of the randomized defense of AP, this paper proposes a novel randomized generative model called Randomized Purifier Based on Low Adversarial Transferability (RP-LAT). …”
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Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem by Jiho Lee, Junseung Mun, Minhye Choo, Sung-Min Park

“…Abstract Neurostimulation for cardiovascular control faces challenges due to the lack of predictive modeling for stimulus-driven dynamic responses, which is crucial for precise neuromodulation via quality feedback. …”
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Multiscale computational modeling of 3D printed continuous Fiber reinforced polymer composites by Xin Li

“…Computational modeling provided insight to elastic properties of 3DP-CFRPCs in varied printing conditions. …”
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Computational modeling of the hematopoietic erythroid-myeloid switch reveals insights into cooperativity, priming, and irreversibility. by Vijay Chickarmane, Tariq Enver, Carsten Peterson

“…We develop a computational model for the hematopoietic erythroid-myeloid lineage decision, which is determined by a genetic switch involving the genes PU.1 and GATA-1. …”
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Modeling flame acceleration in H2 turbulent combustion: Strategies to reduce computational cost by A. Dahmani, R.A. Otón-Martínez, F. Nicolás-Pérez, F.J.S. Velasco, O. de Francisco

“…The present study summarizes the investigations conducted to identify and assess reliable modeling strategies for reducing computational cost for the simulations of hydrogen turbulent combustion in nuclear accident scenarios which consider the flame acceleration, with a primary focus on the use of LES coupled with Artificially Thickened Flame Model (TFM) using a detailed chemical reaction mechanism. …”
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A mutualism-parasitism system modeling host and parasite withmutualism at low density by Yuanshi Wang, Donald L. DeAngelis

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Numerical modeling of delamination in composite panel under low-velocity contact with hail by V.T. Le, Т. V. Burnysheva

“…A technique is proposed to simulate multiple impacts of hailstones on composite panels based on a developed model and testing of low-velocity hailstone impacts. …”
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Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications by Jung Rae Cho, Donghyun Ryu, Donguk Kim, Wonjung Kim, Yeonwoo Kim, Changwook Kim, Yoon Kim, Myounggon Kang, Jiyong Woo, Dae Hwan Kim

“…SPICE simulation results of the transfer characteristics are in good agreement with the results of experimentally fabricated FLASH memory, showing a low error rate of 10%. The model was also validated against the results obtained from the TCAD tool, showing that a consistent VT change was computed in a shorter time than that required using TCAD. …”
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A Computational–Cognitive Model of Audio-Visual Attention in Dynamic Environments by Hamideh Yazdani, Alireza Bosaghzadeh, Reza Ebrahimpour, Fadi Dornaika

“…While integrating auditory and visual information enhances prediction accuracy, many existing models rely solely on visual-temporal data. Inspired by cognitive studies, we propose a computational model that combines spatial, temporal, face (low-level and high-level visual cues), and auditory saliency to predict visual attention more effectively. …”
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The Uterine Epithelium might act as a Protective Barrier for the Embryo against Exogenous Electric Fields: A Computational Study by Zahra Hajizadeh Bakhtiary, Elham Sharifi, Mehrdad Saviz, Fatemehsadat Ehsan Dehkordi

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THE USE OF COMPUTATIONAL SIMULATION TO INCREASE THE EFFICIENCY OF ACTIONS TO REDUCE THE LOSS OF ELECTRIC POWER by A. Grin, I. Skorokhodova, C. Chebanov, A. Grin

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Low-complexity ATPM-VSIMM algorithm with adaptive model parameters by Hao ZENG, Wangqiang MU, Yang JIANG, Shunping YANG

“…Aiming at the problem that for maneuvering target tracking, the accuracy of tracking degraded in interacting multiple model algorithms due to the fixed model sets and the fixed transition probability matrix, a low-complexity ATPM-VSIMM algorithm was proposed, which could update the model parameters adaptively.The maneuvering situation of the target was judged according to the innovation changes of the system, and the state noise of the model sets was adjusted to realize the adaptive update of the model sets.Then, the more accurate transition probability matrix was computed through the change of the model posterior probability and the inter-model switching relationship.Therefore, the matching degree between the system motion model and the target motion trajectory was improved.Finally, the high filtering accuracy and the fast response speed of the tracking system were guaranteed.The effectiveness of the proposed algorithm was verified through three aspects that are the initial value of the model posterior probability, the initial value of the transition probability matrix, and the state noise.Simulation results demonstrate that the filtering accuracy of the ATPM-VSIMM algorithm is improved about 8% compared with the existing algorithms.…”
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Parameter uncertainties for imperfect surrogate models in the low-noise regime by Thomas D Swinburne, Danny Perez

“…As misspecification is the main source of uncertainty for surrogate models of low-noise calculations, such as those arising in atomistic simulation, predictive uncertainties are systematically underestimated. …”
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The probability of lung cancer in patients with pulmonary nodules detected via low-dose computed tomography screening in China by Lan-Wei Guo, Zhang-Yan Lyu, Yin Liu, Qing-Cheng Meng, Li-Yang Zheng, Qiong Chen, Hui-Fang Xu, Rui-Hua Kang, Shu-Zheng Liu, Shao-Kai Zhang

“…Abstract Objective Low dose computed tomography (LDCT) screening has been proven to be effective in reducing lung cancer mortality, but the ensuing high false-positive and overdiagnosis rates shackle the effectiveness of lung cancer screening (LCS) in China. …”
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A Novel Formulation for Adaptive Computed Torque Control Enabling Low Feedback Gains in Highly Dynamical Tasks by Giorgio Simonini, Marco Baracca, Tommaso V. Cavaliere, Antonio Bicchi, Paolo Salaris

“…Adaptive Computed Torque Control addresses this issue by updating the dynamic model parameters to achieve asymptotic stability. …”
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Computational Fluid Dynamics Studies on a Centrifugal Compressor Stage with Twisted Vanes of a Low Solidity Diffuser by P. Venkateswara Rao, V. R. Govindaraju, K. Venkateswarlu, M. Bhanu Kumari

“…Three types of diffusers—vaneless, low solidity vaned, and twisted vaned—were analyzed across five flow coefficients. …”
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HybridFormer: a convolutional neural network-Transformer architecture for low dose computed tomography image denoising by Shanaz Sharmin Jui, Zhitao Guo, Rending Jiang, Jiale Liu, Bohua Li

“…Low-dose computed tomography (CT) is a potent strategy to minimize X-ray radiation and its detrimental effects on patients. …”
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Damage Assessment of Low-Velocity Impacted Sandwich Composite Structures Using X-Ray Micro-Computed Tomography by Tendai Chipanga, Ouassini Nemraoui, Fareed Ismail

“…This study focused on nondestructive testing, particularly using X-ray micro-computed tomography, to assess damage on these structures, comprised of thin glass fibre reinforced polymer face sheets and a polyvinyl chloride foam core, under low-velocity impacts. …”
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Impact of chest computed tomography-determined low skeletal muscle mass on the survival of patients with acute heart failure by Yan Huang, Yan Huang, Yiming Wang, Junfang Guo, Ping Fang, Biao Kong, Zilan Wang, Junbo Zuo, Junbo Zuo

“…BackgroundComputed tomography (CT)-determined low skeletal muscle mass (SMM) has been reported to be associated with poor clinical outcomes in various diseases; however, limited information is available regarding patients with heart failure (HF). …”
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