Results 41 to 50 of about 29,428 (264)
Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review
Sensors, 2020 The algorithms of electroencephalography (EEG) decoding are mainly based on machine learning in current research. One of the main assumptions of machine learning is that training and test data belong to the same feature space and are subject to the same ...
Kai Zhang +6 more
doaj +1 more source
Multi-Scale Convolutional Network for Space-Based ADS-B Signal Separation with Single Antenna
Applied Sciences, 2022 Automatic Dependent Surveillance-Broadcast (ADS-B) signals are very vital in air traffic control. However, the space-based ADS-B signals are easily overlapped and their message cannot be correctly received.
Yan Bi, Chuankun Li
doaj +1 more source
Pattern classification of large-scale functional brain networks : identification of informative neuroimaging markers for epilepsy [PDF]
, 2012 The accurate prediction of general neuropsychiatric disorders, on an individual basis, using resting-state functional magnetic resonance imaging (fMRI) is a challenging task of great clinical significance.
GuangMing Lu +20 more
core +1 more source
Advanced Functional Materials, EarlyView.Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
wiley +1 more source
Data Dissemination Framework Using Low-Rank Approximation in Edge Networks
IEEE AccessThis paper proposes a reliable data dissemination framework for edge networks, leveraging network coding combined with low-rank approximation. We consider an edge network that consists of a server and power-limited mobile devices, where the data is ...
Jungmin Kwon, Hyunggon Park
doaj +1 more source
Anomaly Detection in Gas Turbine Fuel Systems Using a Sequential Symbolic Method
Energies, 2017 Anomaly detection plays a significant role in helping gas turbines run reliably and economically. Considering the collective anomalous data and both sensitivity and robustness of the anomaly detection model, a sequential symbolic anomaly detection method
Fei Li +5 more
doaj +1 more source
ViTSTR-Transducer: Cross-Attention-Free Vision Transformer Transducer for Scene Text Recognition
Journal of Imaging, 2023 Attention-based encoder–decoder scene text recognition (STR) architectures have been proven effective in recognizing text in the real world, thanks to their ability to learn an internal language model.
Rina Buoy +3 more
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
Advanced Materials, EarlyView.This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Brain-Apparatus Communication, 2023 The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms.
Wenwei Luo +3 more
doaj +1 more source
Advanced Materials, EarlyView.Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source