Results 51 to 60 of about 19,170,582 (248)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Differentiation of Types of Visual Agnosia Using EEG

Vision, 2018
Visual recognition deficits are the hallmark symptom of visual agnosia, a neuropsychological disorder typically associated with damage to the visual system.
Sarah M. Haigh, Amanda K. Robinson, Pulkit Grover, Marlene Behrmann   +3 more
doaj   +1 more source

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, Guanghua Xu, Xiaowei Zheng, Huanzhong Li, Sicong Zhang, Yunhui Yu, Renghao Liang   +6 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Hierarchical Decoding of Perceived Speech From Non-Invasive Brain Recordings

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Non-invasive speech perception decoding aims to identify speech segments using magneto/electro-encephalography (M/EEG) signals recorded while subjects listen to speech.
Bo Wang, Xiran Xu, Boda Xiao, Linze Zheng, Xihong Wu, Heping Cheng, Jing Chen   +6 more
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, Hongzhi Wang, Guowen Zhou, Daren Yu, Jiangzhong Li, Hong Gao   +5 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems

Entropy
In this paper, we consider a downlink non-orthogonal multiple access (NOMA) system over Nakagami-m channels. The single-antenna base station serves two single-antenna NOMA users based on statistical channel state information (CSI).
Zhuo Han, Wanming Hao, Zhiqing Tang, Shouyi Yang   +3 more
doaj   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

A hybrid brain-computer interface using motor imagery and SSVEP Based on convolutional neural network

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, Wanguang Yin, Quanying Liu, Youzhi Qu   +3 more
doaj   +1 more source