Results 141 to 150 of about 29,909,859 (245)

Fault Diagnosis Method for DC Current Transformers Based on Deep Learning Hybrid Model

open access: yesVector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
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 Ligand Engineering in Quantum Dot Photocatalysis: Mechanisms, Design Principles, and Applications

open access: yesAdvanced Chemical Engineering, Volume 1, Issue 2, December 2026.
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

Influence of AlxGa1−xN barrier layer thickness and p-GaN gate characteristics on the threshold voltage of p-GaN/AlGaN/GaN high electron mobility transistors

open access: yesAIP Advances
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

Predicting the Risk of Proteinuria Based on Blood Plasma Fourier‐Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns

open access: yesAnalytical Science Advances, Volume 7, Issue 2, December 2026.
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

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

open access: yesComputational and Systems Oncology, Volume 6, Issue 1, December 2026.
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

open access: yesSoftware: Practice and Experience, Volume 56, Issue 12, Page 1538-1556, December 2026.
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

open access: yesSmartSys, Volume 2, Issue 4, December 2026.
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 Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

open access: yesAdvanced Functional Materials, Volume 36, Issue 89, 5 November 2026.
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

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

open access: yesAdvanced Materials, Volume 38, Issue 62, 6 November 2026.
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

Expanded Gate-Voltage Operating Range of p-GaN Gate HEMTs Operated in Synchronized Photonic-Electronic Driving (SPED) Scheme

open access: yes
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

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