Results 181 to 190 of about 2,301,421 (250)

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Current Transformer Error Correction

This paper presents the development of micro- processor based device with ability to decrease protection-type current transformer measurement error in the area of small currents.
Dolgicers, Aleksandrs, Kozadajevs, Jevgeņijs   +1 more
core  

Blind Self-Supervised Denoising of In Situ BOTDR Strain Data Using TrendBlend-BSFormer for Underwater Flexible Mattress Monitoring. [PDF]

Sensors (Basel)
Liu J, Jin P, Zhang Z, Wei X.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

The Analysis of Measures on Modernization of the Transformer Equipment

In Latvian Power Company (Latvenergo) almost half from power high-voltage transformers fleet works 25-40 and more years. Mass ageing of the transformer equipment is a serious problem in the Latvian power supply system demanding the cardinal decision. The
Skobeļeva, Nataļja, Breners, Nikolajs, Guseva, Svetlana   +2 more
core  

Histopathological Assessment of Myocardial Ischemia-Reperfusion Injury Using Transformer-Based Artificial Intelligence: Model Comparison Study. [PDF]

JMIR Med Inform
Liu C, Xu M, Lv Y, Zhu Z, Pan Y, Wang Y.
europepmc   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

FBG-Based Multi-Parameter Sensor for Harsh Transformer Conditions: Decoupling Packaging for Simultaneous Temperature, Pressure, and Moisture Measurement. [PDF]

Sensors (Basel)
Wang D, Ma S, Jin F, Wang R.
europepmc   +1 more source

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source

Privacy-preserving and robust mouse dynamics authentication using hybrid transformer-CNN and federated learning. [PDF]

Front Artif Intell
Sasikumar K, Nagarajan S.
europepmc   +1 more source