Results 141 to 150 of about 1,921,662 (293)

Estimation of Synchrophasors in Intelligent Electrical Networks: from Models to Design Restrictions

Revista Elektrón, 2017
We first present a detailed review of two popular classes of model based synchrophasor estimators. They are the discrete Fourier transform (DFT) and the Taylor-Fourier transform (TFT) class estimators, which arise from constant or polynomial phasor ...
Francisco Javier Messina, Leonardo Rey Vega, Cecilia Gabriela Galarza   +2 more
doaj  

Recent advances in Joule‐heating synthesis of functional nanomaterials for photo and electrocatalysis

PhotoMat, EarlyView.
This paper presents a comprehensive overview of recent advancements in Joule‐heating synthesis of photo and electrocatalysts, emphasizing its benefits and applications. The objective is to offer an effective strategy for enhancing the diversity and performance of catalytic materials.
Jiaqi Li, Laiyu Luo, Siyu Wang, Haojie Song, Baojiang Jiang   +4 more
wiley   +1 more source

Spectral analysis of discrete fourier transform (DFT) using Matlab

, 2010
In this project, signal is analyzed by applying Discrete Fourier Transform (DFT), specifically Fast Fourier Transform (FFT) algorithm in MATLAB. In the spectral analysis, the parameters are identified for signal analysis and the effect of varying the DFT
Wong Shen Yuong
core  

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

Journal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Evaluation of Shack-Hartmann wavefront sensing artifacts due to reflectivity variations across thick layered samples using the discrete Fourier transform. [PDF]

Biomed Opt Express
Sahoo PK, Raj M R A, Akondi V.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Linear anti-jamming algorithm design for multi-channel optical fiber communication. [PDF]

PLoS One
Yu H.
europepmc   +1 more source

Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean

Remote Sensing in Ecology and Conservation, EarlyView.
The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu, Grant van der Heever, Charles von der Meden, Hannah Truter, Stephen J. Lamberth, Ofer Gon   +5 more
wiley   +1 more source

Low‐Complexity Hybrid Beamforming for LEO Satellites: Beam Update Rate Analysis and Advanced Adaptive Precoding

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Low Earth Orbit (LEO) satellite constellations offer unprecedented opportunities for global broadband connectivity but pose significant beamforming challenges due to rapid platform motion and stringent onboard hardware constraints. Fully digital architectures, while optimal in theory, remain impractical for satellite payloads, motivating ...
Mohammad Momani, Thomas Delamotte, Andreas Knopp   +2 more
wiley   +1 more source

Programmable radio-frequency calculations in electromagnetic-wave domain. [PDF]

Nat Commun
Chen SN, Chen ZY, Wang SR, Bi R, Kang JF, Wang ZX, Qi ZJ, Wu L, Li HD, Dai JY, Cheng Q, Cui TJ.   +11 more
europepmc   +1 more source