Results 141 to 150 of about 28,952 (292)

Performance Analysis of an Optical System for FSO Communications Utilizing Combined Stochastic Gradient Descent Optimization Algorithm

Applied System Innovation
Wavefront aberrations caused by thermal flows or arising from the quality of optical components can significantly impair wireless communication links. Such aberrations may result in an increased error rate in the received signal, leading to data loss in ...
Ilya Galaktionov, Vladimir Toporovsky
doaj   +1 more source

Stochastic Gradient Descent with Strategic Querying

2025 IEEE 64th Conference on Decision and Control (CDC)
18 pages, 2 figures. Accepted to IEEE Conference on Decision and Control (CDC) 2025.
Nanfei Jiang, Hoi-To Wai, Mahnoosh Alizadeh   +2 more
openaire   +2 more sources

Metal‐Enhanced Charge Transport and its Mechanism in Atomically Precise Ruthenium Single‐Molecule Devices

Advanced Science, EarlyView.
An atomically precise platform was developed for investigating single‐molecule charge transport. This innovative platform enables the creation of highly uniform molecular devices using ruthenium‐based molecules. It reveals a significant enhancement in molecular conductance due to the metallic ruthenium center and a unique barrier‐lowering effect during
Jie Guo, Qinghua Gao, Ping Duan, Cong Zhao, Huimin Wen, Xiaoyan He, Lucie Norel, Yuzhe Zhang, Chunwen Wang, Wu Zhou, Xinyue Chang, Ju Wang, Stéphane Rigaut, Mingliang Li, Chuancheng Jia, Xuefeng Guo   +15 more
wiley   +1 more source

Multi-Depth Computer-Generated Hologram Based on Stochastic Gradient Descent Algorithm with Weighted Complex Loss Function and Masked Diffraction. [PDF]

Micromachines (Basel), 2023
Quan J, Yan B, Sang X, Zhong C, Li H, Qin X, Xiao R, Sun Z, Dong Y, Zhang H.   +9 more
europepmc   +1 more source

Certain Systems Arising In Stochastic Gradient Descent

, 2019
Stochastic approximations is a rich branch of probability theory and has a wide range of application. Here we study stochastic approximations from the perspective of gradient descent.
Karatapanis, Konstantinos
core   +1 more source

A Pollen‐Enhanced Bionic Mechanoreceptor Induced by Asymmetric Ionic Convection in Hydrogel for Sensory‐Augmented Prostheses

Advanced Science, EarlyView.
This work proposed a pollen‐enhanced bionic mechanoreceptor based on ionic convection. Leveraging the ion anchoring effect of the pollen particle, the output performance could be ∼12 times higher than the original state. By employing deep learning models as AI brains, the feasibility of a sensory‐augmented prosthesis consisting of a pollen‐enhanced ...
Zi Hao Guo, Jingyu Deng, Yanzhang Xu, Chenchen Zhou, Yangshi Shao, Xiong Pu, Munho Kim, Namjoon Cho   +7 more
wiley   +1 more source

A Novel Framework for Abnormal Risk Classification over Fetal Nuchal Translucency Using Adaptive Stochastic Gradient Descent Algorithm. [PDF]

Diagnostics (Basel), 2022
Verma D, Agrawal S, Iwendi C, Sharma B, Bhatia S, Basheer S.   +5 more
europepmc   +1 more source

One-step corrected projected stochastic gradient descent for statistical estimation

A generic, fast and asymptotically efficient method for parametric estimation is described. It is based on the projected stochastic gradient descent on the log-likelihood function corrected by a single step of the Fisher scoring algorithm.
Esstafa, Youssef, Brouste, Alexandre
core   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. [PDF]

Entropy (Basel), 2021
Franzese G, Milios D, Filippone M, Michiardi P.   +3 more
europepmc   +1 more source