Results 201 to 210 of about 32,366 (309)

Enhanced neural speech tracking through noise indicates stochastic resonance in humans. [PDF]

Elife
Herrmann B.
europepmc   +1 more source

Modeling and Output Optimization of Triboelectric Microphone for Acoustic Energy Harvesting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work elucidates the fundamental multiphysics coupling mechanisms governing acoustic T‐phone, providing a critical theoretical foundation and a predictive design paradigm for the future engineering and deployment of next‐generation, self‐powered acoustic sensors.
Dan Liu, Jie Zhu, Shilong Wang, Chaobin Jia, Tao Jiang, Guofei Zhou, Jiajia Shao   +6 more
wiley   +1 more source

The Promise of Stochastic Resonance in Falls Prevention [PDF]

, 2019
Olivier White, Jan Babič, Carlos Trenado, L. Johannsen, Nandu Goswami   +4 more
openalex   +1 more source

Sensitivity improvement of quartz-enhanced photoacoustic spectroscopy using the stochastic resonance method. [PDF]

Photoacoustics
Xie Y, Xiong H, Feng S, Pan N, Li C, Liu Y, Zhang Y, Shao L, Lu G, Liu K, Wang G.   +10 more
europepmc   +1 more source

Adaptive Stochastic Resonance-Based Processing of Weak Magnetic Slippage Signals of Bearings. [PDF]

Entropy (Basel), 2022
Ma J, Li C, Zhang G.
europepmc   +1 more source

Lignocellulosic Triboelectric Materials for Energy Harvesting and Emerging Applications: A Review on Lignin‐Molecular Engineering toward Improved Performance

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Contrasting sustainable biomass with depleting petroleum resources, this review charts the evolutionary timeline of lignin‐based TENGs. We systematically evaluate their fundamental mechanisms, enhancement strategies, and applications in green self‐powered electronics.
Yuxin Yang, Boyu Du, Yuwen Wang, Tian Tang, Yuxuan Xie, Jiajun Zhang, Yajun Zhang, Jingyu Xu, Xing Wang, Chuanyin Xiong   +9 more
wiley   +1 more source

Nonlinearity-enhanced continuous microwave detection based on stochastic resonance. [PDF]

Sci Adv
Wu KD, Xie C, Li CF, Guo GC, Zou CL, Xiang GY.   +5 more
europepmc   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO. [PDF]

Sensors (Basel)
Wang R, Pang N, Guo H, Hu X, Li G, Li F.
europepmc   +1 more source

Presurgical magnetoencephalography‐derived network control metrics distinguish successful hippocampal resection vs sparing in temporal lobe epilepsy

Epilepsia, EarlyView.
Abstract Objective Surgical decision‐making in temporal lobe epilepsy (TLE) faces a critical challenge in determining whether the hippocampus can be safely spared during anterior temporal resection, particularly when surgery involves the language‐dominant hemisphere.
Guhan Seshadri NP, Himanshu Kumar, Neha Sara John, Andreas V. Alexopoulos, Richard C. Burgess, Hiroatsu Murakami, Balu Krishnan   +6 more
wiley   +1 more source