Suchergebnisse - "Gradient descent algorithm"

A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm von Suppakitpaisarn, Vorapong, Ariyarit, Atthaphon, Chaidee, Supanut

“… ; and (2) gradient descent to iteratively update locations subject to area constraints. We apply the proposed …”
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Smoothing gradient descent algorithm for the composite sparse optimization von Yang, Wei, Pan, Lili, Wan, Jinhui

“… Composite sparsity generalizes the standard sparsity that considers the sparsity on a linear transformation of the variables. In this paper, we study the …”
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Fractional Gradient Descent RBFNN for Active Fault-Tolerant Control of Plant Protection UAVs von Hua, Lianghao, Zhang, Jianfeng, Li, Dejie, Xi, Xiaobo

“… However, in controlling plant protection unmanned aerial vehicles (UAVs), which are typically large and subject to significant disturbances, load disturbances …”
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An Improved Reacceleration Optimization Algorithm Based on the Momentum Method for Image Recognition von Sun, Haijing, Cai, Ying, Tao, Ran, Shao, Yichuan, Xing, Lei, Zhang, Can, Zhao, Qian

“… The velocity of its gradient descent depends solely on the historical gradients and is not subject to random fluctuations …”
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Power Allocation in OFDM-CR Using Accelerated Gradient Descent Algorithm von Sooraj, K. U., Godfrey, W. Wilfred

“… This optimal power resource allocation is performed subject to mutual interference constraint …”
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FAdagrad: Adaptive federated learning with differential privacy von Luo, Yuling, Pan, Ziyan, Fu, Qiang, Qin, Sheng

“… To address this gap, this work introduces an adaptive gradient descent algorithm underpinned by Differential Privacy (DP …”
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Mean template for tensor-based morphometry using deformation tensors von Leporé, Natasha, Brun, Caroline, Pennec, Xavier, Chou, Yi-Yu, Lopez, Oscar L, Aizenstein, Howard J, Becker, James T, Toga, Arthur W, Thompson, Paul M

“… Tensor-based morphometry (TBM) studies anatomical differences between brain images statistically, to identify regions that differ between groups, over time, or …”
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Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions von Fan, Jianqing, Li, Quefeng, Wang, Yuyan

“… Data subject to heavy-tailed errors are commonly encountered in various scientific fields …”
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Reconstruction of undersampled 3D non‐Cartesian image‐based navigators for coronary MRA using an unrolled deep learning model von Malavé, Mario O., Baron, Corey A., Koundinyan, Srivathsan P., Sandino, Christopher M., Ong, Frank, Cheng, Joseph Y., Nishimura, Dwight G.

“… ) based on the proximal gradient descent algorithm. The training set includes 6,000 3D iNAVs acquired from 7 different subjects and 11 scans using a variable‐density (VD) cones trajectory …”
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Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis von Priess, M. Cody, Conway, Richard, Jongeun Choi, Popovich, John M., Radcliffe, Clark

“… In this brief, we present a set of techniques for finding a cost function to the time-invariant linear quadratic regulator (LQR) problem in both continuous- …”
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Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data von Fisher, Zachary F., Kim, Younghoon, Fredrickson, Barbara L., Pipiras, Vladas

“… To accomplish this, we propose a novel proximal gradient descent algorithm for solving …”
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Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies von Zhang, Jingfei, Sun, Will Wei, Li, Lexin

“… We develop an efficient alternating gradient descent algorithm for parameter estimation, and establish the nonasymptotic error bound for the actual estimator from the algorithm, which quantifies …”
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Autism spectrum disorder diagnosis based on deep unrolling-based spatial constraint representation von Lei, Dajiang, Zhang, Tao, Wu, Yue, Li, Weisheng, Li, Xinwei

“… Moreover, most existing studies treat the FBNs construction and disease classification as separate steps, leading to large inter-subject variability in the estimated FBNs and reducing the statistical …”
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Controlled morphing of structures using smart piezoelectric patches subject to thermo-electro-mechanical loading von Wu, Tongyu, Meguid, S.A.

“… Smart composite laminates (SCLs) integrated with distributed piezoelectric patches have attracted considerable interest due to their ability to actively change …”
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Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment von Vianna, Vinicius Pavanelli, Murta, Luiz Otavio

“… A simulated gradient descent algorithm was also used to calculate the registration capability …”
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Neural-network-based nonlinear model predictive tracking control of a pneumatic muscle actuator-driven exoskeleton von Cao, Yu, Huang, Jian

“… Pneumatic muscle actuators &#x0028 PMAs &#x0029 are compliant and suitable for robotic devices that have been shown to be effective in assisting patients with …”
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Machine learning-assisted design and control for period-one microwave photonic sensing signal von Fang, Can, Ruan, Yuxi, Guo, Qinghua, Yu, Yanguang

“… A feedforward neural network (FNN), in conjunction with a gradient descent algorithm, is employed to fast and accurately ascertain …”
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ApaNet: adversarial perturbations alleviation network for face verification von Sun, Guangling, Hu, Haoqi, Su, Yuying, Liu, Qi, Lu, Xiaofeng

“… As one of the important vision tasks, face verification is also subject to adversarial attack …”
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An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blends von Tayarani-N., Mohammad-H., Paykani, Amin

“… The increasing global demand for sustainable and cleaner transportation has led to extensive research on alternative fuels for Internal Combustion (IC) …”
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Knowledge-based self-tuning of PID control gains for continuum soft robots von Ramos-Velasco, L.E., Parra-Vega, V., Garcia-Rodriguez, R., Vega-Navarrete, M.A., Trejo-Ramos, Ch, Olguín-Díaz, E.

“… In recent years, a class of soft (deformable) robots has attracted the attention of researchers due to their continuum features being advantageous over rigid …”
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