Results 141 to 150 of about 29,909,859 (245)
Fault Diagnosis Method for DC Current Transformers Based on Deep Learning Hybrid Model
Aiming at the problems of scarce fault samples, strong noise interference and complex feature coupling in the current DCCT fault diagnosis process, a DCCT fault diagnosis method based on a hybrid deep learning model is proposed. The performance of the proposed method is verified through experiments.
Cai Xu +4 more
wiley +1 more source
Surface ligands govern quantum dot photocatalysis through thermodynamic band‐edge tuning, kinetic charge‐transfer regulation, and microenvironmental control. Rational ligand engineering, using short‐chain, inorganic, conjugated, or dual‐ligand systems, enables efficient solar fuel production, selective organic transformations, environmental remediation,
Yali Weng +5 more
wiley +1 more source
In this research work, the pivotal role of threshold voltage (Vth) in the performance optimization of enhancement-mode (E-mode) AlGaN/GaN-based high-electron-mobility transistors (HEMTs) is explored.
Bang-zhi Xiao, Yin-shui He, Wen-bo Xiao
doaj +1 more source
ABSTRACT Proteinuria, defined by an abnormally elevated concentration of proteins in the urine, serves as a critical biomarker for the early detection and diagnosis of preeclampsia. Elevated proteinuria levels adversely affect both maternal and foetal health, increasing the risk of preterm birth and low birth weight.
Camila Lopes Ferreira +9 more
wiley +1 more source
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar +6 more
wiley +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
Dynamic Interfacial Electronics—Foundations, Scopes and Endless Frontiers of the Master Field
ABSTRACT Interfaces in classical physics, chemistry, and electronics are typically treated as static boundaries, yet a growing body of research reveals that dynamically evolving interfaces can actively generate, manipulate, transport, and utilize both electronic and ionic processes at interfaces.
Zhong Lin Wang, Jie Wang
wiley +1 more source
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Previously, we demonstrated a synchronized photonic-electronic driving (SPED) scheme for the normally-off GaN HEMTs. In this work, the gate reliability of p-GaN gate HEMTs under such driving schemes is further investigated.
Cheng, Yan +5 more
core +1 more source

