Noninvasive frequency‐domain method estimates transformer winding parameters from terminal measurements, eliminating the need for design data. ABSTRACT A novel frequency‐domain subspace identification method enables precise estimation of transformer winding ladder network parameters directly from terminal measurements.
K. Lakshmi Prasanna +3 more
wiley +1 more source
Climate adaptation in the southwest US: The SWPar4.5 parameter set for stochastic weather generators. [PDF]
Fullhart AT +5 more
europepmc +1 more source
The Influence of Big Data‐Driven Educational Technologies on College Teaching Development
Exploring the impact of big data on college instructors: enhancing teaching, fostering professional growth, and addressing challenges in data adoption and privacy. ABSTRACT The rapid development of big data and mobile Internet technologies has significantly influenced the instructional growth of college instructors. This study investigated how big data
Ling Yu, Wenye Li, Ying Luo
wiley +1 more source
Enhanced YOLOv11 framework for high precision defect detection in printed circuit boards. [PDF]
Elsharkawy ZF.
europepmc +1 more source
Apparatus Design and Finite Element Modeling for Controlled‐Speed Nakazima Experiments
This study has two primary aims: first, to design a scaled device with deformable tooling components that can conduct Nakazima experiments with a rotating tool, and second, to develop a 3D Finite Element model for scaled Nakazima‐test simulation considering deformable tooling components.
Radouane Benmessaoud
wiley +1 more source
A higher-order quadratic NLS equation on the half-line. [PDF]
Himonas AA, Yan F.
europepmc +1 more source
Unified Hysteresis Modeling via Physics‐Based Deep Learning and Data Augmentation
ABSTRACT Deep learning‐based models have recently emerged as alternatives to traditional form‐constrained hysteresis models, including Bouc‐Wen class models, offering significant potential for unified hysteresis modeling to capture complex nonlinearities and diverse response patterns exhibited under stochastic excitations such as ground motions.
Jaehwan Jeon, Oh‐Sung Kwon, Junho Song
wiley +1 more source
Weak redundancy U-shaped network and heatmap-based object prompt method for real-time medical image processing. [PDF]
Lu C, Fu Z, Guo Z, Fei J, Xie R.
europepmc +1 more source
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi +2 more
wiley +1 more source
Enhanced FISH Image Classification via CBAM-PPM-Optimized ResNet50 for Precision Cytogenetic Diagnosis. [PDF]
Li Z, Li W, Zhou Y, Wang L.
europepmc +1 more source

