Results 1 to 10 of about 48,524 (285)
Ain Shams Engineering Journal, 2022 In hydraulic structures design, using cutoff walls is essential to reduce and control the resultant uplift force (U), seepage discharge (Q), and exit hydraulic gradient (i).
Asaad M. Armanuos +4 more
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Ensemble neural network models for stability prediction and optimization of hydraulic structures considering uplift pressure and exit gradient [PDF]
Scientific ReportsThis study aims to develop a novel ensemble modeling approach that integrates artificial neural networks with finite element analysis to optimize the stability of hydraulic structures, particularly through the design of cutoff wall configurations.
Elsayed Elkamhawy +3 more
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Applied Mathematical Finance, 2022 We develop policy gradients methods for stochastic control with exit time in a model-free setting. We propose two types of algorithms for learning either directly the optimal policy or by learning alternately the value function (critic) and the optimal control (actor).
Hamdouche, Mohamed +2 more
exaly +4 more sources
Numerical path integral calculation of the probability function and exit time: an application to non-gradient drift forces [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2018 We provide numerical solutions based on the path integral representation of stochastic processes for non-gradient drift Langevin forces in the presence of noise, to follow the temporal evolution of the probability density function and to compute exit times even for arbitrary noise.
Fernando Mora +3 more
openaire +5 more sources
IEEE Transactions on Information Theory, 2023 69 pages; 10 figures; extensive revision of the earlier version, including fewer assumptions, more comparisons with prior art, and new theoretical ...
Rishabh Dixit +2 more
exaly +5 more sources
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
CoRR, 2019 Stochastic gradient descent (SGD) has been widely used in machine learning due to its computational efficiency and favorable generalization properties. Recently, it has been empirically demonstrated that the gradient noise in several deep learning settings admits a non-Gaussian, heavy-tailed behavior.
Thanh Huy Nguyen 0001 +3 more
core +5 more sources
Effect of the existence of under drain on Uplift pressure and Exit Gradient.
Sulaimani Journal for Engineering Sciences, 2017 The effects of the existence of an under drain pipe beneath the foundation of a hydraulic structure, on both the uplift pressure under the structure and the exit gradient on its downstream side are investigated.
Prof. Dr.Rafa Hashim Al-Suhili +1 more
doaj +2 more sources
Spatiotemporal control of mitotic exit during anaphase by an aurora B-Cdk1 crosstalk [PDF]
eLife, 2019 According to the prevailing ‘clock’ model, chromosome decondensation and nuclear envelope reformation when cells exit mitosis are byproducts of Cdk1 inactivation at the metaphase-anaphase transition, controlled by the spindle assembly checkpoint. However,
Olga Afonso +9 more
doaj +2 more sources
Developmental Biology, 1999 Embryonic lumbar spinal motoneurons (MNs) are characterized by a period of programmed cell death (PCD) that spans several days and occurs in a rostrocaudal gradient. The generation of these MNs also takes place in a temporal-spatial gradient, such that MNs within rostral lumbar segments exit the cell cycle earlier and MNs within progressively caudal ...
Gould, Thomas W. +4 more
openaire +3 more sources
Effects of Magnetic Field Gradient on the Performance of a Magnetically Shielded Hall Thruster
Aerospace, 2023 The objective of this study is to investigate the effects of a magnetic field gradient on the performance of a magnetically shielded Hall thruster. The Particle-in-cell with Monte Carlo collision method (PIC-MCC) is used to simulate the discharge process
Qi Liu, Yong Li, Yanlin Hu, Wei Mao
doaj +2 more sources