Results 251 to 260 of about 1,587,623 (364)

CNN-LSTM optimized with SWATS for accurate state-of-charge estimation in lithium-ion batteries considering internal resistance. [PDF]

Sci Rep
Zhang Z, Liu C, Li T, Wang T, Cui Y, Zhao P.   +5 more
europepmc   +1 more source

Fractal Anatomy of Human Organs: A Narrative Review of Structure, Function, and Clinical Perspectives

Clinical Anatomy, EarlyView.
ABSTRACT Fractal geometry describes complex, self‐similar patterns that repeat across spatial scales and is increasingly recognized as relevant in anatomical research. Indeed, the fractal organization is consistently observed in respiratory, cardiovascular, gastrointestinal, nervous, renal, hepatic, and dermatological systems.
Immacolata Belviso, Jacopo Junio Valerio Branca, Giulia Guarnieri, Annamaria Morelli, Alessandra Pacini, Daniele Della Posta, Domenico Ribatti, Ferdinando Paternostro   +7 more
wiley   +1 more source

Power quality disturbance identification using hybrid deep learning in renewable energy systems. [PDF]

Sci Rep
Peruman PM, Ayyar K.
europepmc   +1 more source

Regulador LDO de alta velocidade utilizando estágio de saída compacto = A high-speed low-dropout voltage regulator using a compact output driver

, 2018
André Luis Vilas Boas
openalex   +1 more source

Self‐Management Interventions in Young Adults (18–30 Years) With Type 1 Diabetes, Sickle Cell Disease, and Inflammatory Bowel Disease: A Scoping Review

Chronic Diseases and Translational Medicine, EarlyView.
ABSTRACT Fluctuating chronic conditions (FCC) in young adults aged 18–30 years, such as type 1 diabetes (T1D), sickle cell disease (SCD), and inflammatory bowel disease (IBD), present unique self‐management challenges due to unpredictable symptom patterns that disrupt daily life.
Reham Almabadi, Lawrence Doi, Colin Chandler, Huda Alamri   +3 more
wiley   +1 more source

HAARN: A Deep Neural Network-Based Intelligent Control Method for High-Altitude Adaptability of Heavy-Load UAV Power Systems. [PDF]

Sensors (Basel)
Zhou H, Duan X, Li X, Luo J, Zhang B, Guo X, Sun L.   +6 more
europepmc   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis. [PDF]

Sensors (Basel)
Lai CH, Huang SH, Wu TE, Lai CC.
europepmc   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

Prediction of PEMFC life based on IGJO-TCN-BiGRU-Attention. [PDF]

Sci Rep
Zhao J, Shang H, Shen Y, Zhang P, Yang X, Liu P.   +5 more
europepmc   +1 more source