Results 41 to 50 of about 634 (170)

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

A Cu‐Based Near‐IR Active MOF with an Ion‐Pair Guest Exhibiting Versatile and Selective Gas‐Solid Reactivity

Advanced Materials, EarlyView.
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha, Alejandro Cortés‐Villena, Silvia Gómez‐Coca, Alberto Fernández‐Alarcón, Joaquín Calbo, Raquel E. Galian, Enrique Ortí, Eliseo Ruiz, Mónica Giménez‐Marqués, Samia Benmansour, Carlos J. Gómez‐García   +10 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

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

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

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

Decoding Bilingual EEG Signals With Complex Semantics Using Adaptive Graph Attention Convolutional Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Decoding neural signals of silent reading with Brain-Computer Interface (BCI) techniques presents a fast and intuitive communication method for severely aphasia patients.
Chengfang Li, Yang Liu, Jielin Li, Yuhao Miao, Jing Liu, Liang Song   +5 more
doaj   +1 more source

Real-Time Tracking of Selective Auditory Attention From M/EEG: A Bayesian Filtering Approach

Frontiers in Neuroscience, 2018
Humans are able to identify and track a target speaker amid a cacophony of acoustic interference, an ability which is often referred to as the cocktail party phenomenon.
Sina Miran, Sahar Akram, Alireza Sheikhattar, Jonathan Z. Simon, Jonathan Z. Simon, Jonathan Z. Simon, Tao Zhang, Behtash Babadi, Behtash Babadi   +8 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

Electrically Coded Retinomorphic Spectrophotodetector

Advanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source