Results 151 to 160 of about 142,362 (315)

Nanoscale Mapping of the Subcellular Glycosylation Landscape

Advanced Science, EarlyView.
Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter, Steffen Sass, Mike Heilemann, Thomas Kuner, Maja Klevanski   +4 more
wiley   +1 more source

Non-Iterative Phase-Only Hologram Generation via Stochastic Gradient Descent Optimization

Photonics
In this work, we explored, for the first time, to the best of our knowledge, the potential of stochastic gradient descent (SGD) to optimize random phase functions for application in non-iterative phase-only hologram generation.
Alejandro Velez-Zea, John Fredy Barrera-Ramírez   +1 more
doaj   +1 more source

Strong Proton‐Phonon Coupling Drives Fast Ion Transport in Perovskites

Advanced Science, EarlyView.
Experimental and computational phonon analysis of ABO3‐type proton conductor BaSnO3 shows that substitution on the B‐site with yttrium forms an imaginary phonon mode which is instrumental for the function as proton conductor. This overcompensates the adverse proton trapping effect of the yttrium.
Alexey Rulev, Nobumoto Nagasawa, Hongxin Wang, Vladimir Pomjakushin, Martin Kunz, Yoshitaka Yoda, Stephen P. Cramer, Qianli Chen, Artur Braun   +8 more
wiley   +1 more source

Revisiting Stochastic Approximation and Stochastic Gradient Descent

31 ...
Karandikar, Rajeeva Laxman, Rao, Bhamidi Visweswara, Vidyasagar, Mathukumalli   +2 more
openaire   +2 more sources

Truncated kernel stochastic gradient descent on spheres

Mathematics of Computation
Inspired by the structure of spherical harmonics, we propose the truncated kernel stochastic gradient descent (T-kernel SGD) algorithm with a least-square loss function for spherical data fitting. T-kernel SGD introduces a novel regularization strategy by implementing SGD through a closed-form solution of the projection of the stochastic gradient in a ...
Bai, Jinhui, Shi, Lei
openaire   +2 more sources

Stochastic and semi-stochastic gradient descent in speech disambiguation

, 2018
Maja Gwóźdź
openalex   +1 more source

Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent [PDF]

, 2023
Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang   +3 more
openalex   +1 more source

Regulating Tumor Metabolic Reprogramming with Biomimetic Co‐Delivery of Simvastatin and Kynureninase for Immunotherapy

Advanced Science, EarlyView.
After the intravenous injection of biomimetic and pH/ROS‐responsive PTSK@CRM, the nanoparticles can be accumulated in tumors and release Sim and KYNase to inhibit the tumor growth, regulate the metabolism of cholesterol and Kyn, and reverse the immunosuppressive tumor microenvironment.
Jiaxin Yin, Shengcai Yang, Zengguang Liu, Songchen Zhao, Siyu Sun, Ziling Liu, Quanshun Li   +6 more
wiley   +1 more source

Adaptive Stochastic Conjugate Gradient Optimization for Backpropagation Neural Networks

IEEE Access
Backpropagation neural networks are commonly utilized to solve complicated issues in various disciplines. However, optimizing their settings remains a significant task. Traditional gradient-based optimization methods, such as stochastic gradient descent (
Ibrahim Abaker Targio Hashem, Fadele Ayotunde Alaba, Muhammad Haruna Jumare, Ashraf Osman Ibrahim, Anas Waleed Abulfaraj   +4 more
doaj   +1 more source

Stochastic Gradient Descent inom Maskininlärning

, 2019
Vissa problem som för människor är enkla att lösa, till exempel: att känna igen siffror och sagda ord, är svårt att implementera i datorprogram. Till exempel, den mänskliga intuitionen att känna igen siffran åtta ’’\textit{8}’’ är att notera två slingor ovanpå varandra, detta visar sig vara svårt att representera som en algoritm. Med maskininlärning är
L. Thunberg, Christian, Mannerskog, Niklas   +1 more
openaire   +1 more source