Results 121 to 130 of about 2,583,502 (287)

Recovering steady‐state visual evoked potential‐related electroencephalography during amplitude‐modulated‐transcranial alternating current stimulation using dynamic adaptive stimulation artifact source separation

Journal of Intelligent Medicine, EarlyView.
Abstract Simultaneous electroencephalography (EEG) recording during transcranial alternating current stimulation (tACS) is strongly contaminated by stimulation artifacts, limiting direct assessment of neural activity. Steady‐state visual evoked potentials (SSVEPs) provide frequency‐specific and phase‐locked responses, making them suitable for ...
Hongzuo Chu, Junling Wang, Xiaoya Liu, Sitong Chen, Tao Wang, Shuang Liu   +5 more
wiley   +1 more source

Unit Roots and Cointegrating Matrix Estimation using Subspace Methods [PDF]

We propose a new procedure to detect unit roots based on subspace methods. It has three main original features. First, the same method can be applied to single or multiple time series.
José Casals, Alfredo Garcia Hiernaux, Miguel Jerez   +2 more
core  

From structural design to model compression: Research progress on lightweight algorithms for motor imagery brain–computer interfaces

Journal of Intelligent Medicine, EarlyView.
Lightweight Motor Imagery BCI Decoding: From Structural Design to Model Compression. This graphical abstract summarizes the motivation, principal strategies, and deployment benefits of lightweight motor imagery brain–computer interface decoding. Structural‐level lightweight designs, including depthwise separable, multi‐branch, and dilated convolutions,
Yijie Zhou, Zhuoyue Chu, Shengcui Cheng, Mingming Zhang, Long Chen, Zhongpeng Wang   +5 more
wiley   +1 more source

Noise adaptive training for subspace Gaussian mixture models [PDF]

, 2013
Noise adaptive training (NAT) is an effective approach to normalise environmental distortions when training a speech recogniser on noise-corrupted speech.
Renals, Steve, Ghoshal, Arnab, Lu, Liang
core  

Health risk assessment of heavy metal accumulation in fruits exposed to geothermal waters: a case study and global implications

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study investigated the potential health risks of heavy metals (HMs) in the fruits and leaves of mulberry and sour cherry trees exposed to water from Sivas geothermal basin (Turkey). RESULTS The target HMs were ranked according to their hazard index as: Cd < Pb < Zn < Cu < Ni < Mn < Cr. The total hazard index for mulberry
E Işıl Arslan Topal, Murat Topal, Erdal Çelik, Erdal Öbek   +3 more
wiley   +1 more source

Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems

IEEE Access
This paper presents a novel system identification algorithm for linear periodically time-varying (LPTV) plants within a discrete-time framework. The algorithm integrates a cyclic reformulation with a state coordinate transformation of the cycled system ...
Hiroshi Okajima, Yusuke Fujimoto, Hiroshi Oku, Haruto Kondo   +3 more
doaj   +1 more source

Quantization of Polaritons Confined in Dielectric Structures

Laser &Photonics Reviews, EarlyView.
This study addresses the limitations of the Hopfield model of strong light‐matter coupling in the case of structured dieletrics. A method to derive quantum models in the polariton basis using Bogoliubov transformation and third quantization is introduced, demonstrating how to boost interaction strength and engineer nonlocal interactions for strongly ...
Amir Rahmani, Dogyun Ko, Maciej Dems, Andrzej Opala, Michał Matuszewski   +4 more
wiley   +1 more source

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

Laser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis, Demet Baldan Desdemir, Enes Akcakoca, Zeynep Ipek Yanmaz, Gulzade Polat, Ahmet Onur Dasdemir, Aytug Aydogan, Abdullah Magden, Emir Salih Magden   +8 more
wiley   +1 more source

Data-Driven Robust Kalman Filter-Based Fault Detection for Traction Drive Systems

Machines
This article addresses the fault detection (FD) problem for traction drive systems in the presence of unknown noise covariances. The dynamic behavior of the traction drive system, affected by actuator and sensor faults, is first formulated. Following the
Caixin Fu, Changhong Jiang, Zhiwei Wan, Peng Cheng, Shenquan Wang   +4 more
doaj   +1 more source

Stochastic subspace identification of modal parameters during ice-structure interaction. [PDF]

Philos Trans A Math Phys Eng Sci, 2019
Nord TS, Petersen ØW, Hendrikse H.
europepmc   +1 more source