Results 61 to 70 of about 26,692,092 (245)

Detection and Analysis of Multiple Events Based on High-Dimensional Factor Models in Power Grid

Energies, 2019
Multiple event detection and analysis in real time is a challenge for a modern grid as its features are usually non-identifiable. This paper, based on high-dimensional factor models, proposes a data-driven approach to gain insight into the constituent ...
Fan Yang, Robert C. Qiu, Zenan Ling, Xing He, Haosen Yang   +4 more
doaj   +1 more source

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Research on feature extraction of unstructured large power texts

Zhejiang dianli
Large power texts contain numerous abbreviations of technical terms， alternative names， and irregular expressions. Existing word segmentation tools often fail to identify specialized vocabulary in the electrical engineering field， significantly hindering
WANG Jiakai, HUANG Peizhuo, LI Yongle, SHENG Shuang, LIU Yang, ZHENG Ling, WEI Zhenhua   +6 more
doaj   +1 more source

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang, Rui Zhang, Haiyan Ma, Lu Yang, Xuefeng Qu, Qiqi Chen, Yan Zhang   +6 more
wiley   +1 more source

Active identification and detection of external operator safety risk factors for smart grid based on deep learning

Diance yu yibiao
Aiming at the safety risk problems caused by the incorrect wearing of helmets, safety belts and illegal smoking of operators during the construction of power grid, this paper designs a detection and identification system for the safety risk caused by ...
PENG Fang, LIU Tiantian, LU Weilong, PAN Jianhong, REN Junda   +4 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Hierarchical data grid resource allocation based on quotient space theory

Tongxin xuebao, 2013
In order to solve the problems of falling into local optimum value and converging too slowly when allocating resources in hierarchical data grid using traditional algorithms,the granular computing was introduced and a quotient space theory based ...
Chun-zhong XIA, Shun-lin SONG
doaj  

Design of a federated learning algorithm for power big data privacy computing based on pruning technique and homomorphic encryption

Egyptian Informatics Journal
This paper proposes a pruned homomorphic encryption-based collaborative federated learning algorithm to address the issues of non-uniform data distribution, overfitting caused by residual gradient features, and privacy leakage risks in power big data ...
Weijian Zhang, Li Di, Jing Zhang, Boyu Liu, Xinyan Wang   +4 more
doaj   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source