Results 41 to 50 of about 153,200 (241)
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
NGS Based Haplotype Assembly Using Matrix Completion
, 2019 We apply matrix completion methods for haplotype assembly from NGS reads to develop the new HapSVT, HapNuc, and HapOPT algorithms. This is performed by applying a mathematical model to convert the reads to an incomplete matrix and estimating unknown ...
Kahaei, MH, Majidian, Sina
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A Multi-Domain Convolutional Neural Network for EEG-Based Motor Imagery Decoding
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on complex deep learning structures for MI decoding.
Hongyi Zhi +4 more
doaj +1 more source
Linear-time general decoding algorithm for the surface code
, 2018 A quantum error correcting protocol can be substantially improved by taking into account features of the physical noise process. We present an efficient decoder for the surface code which can account for general noise features, including coherences and ...
Darmawan, Andrew S., Poulin, David
core +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Optimal Decoding Order and Power Allocation for Sum Throughput Maximization in Downlink NOMA Systems
EntropyIn 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 +3 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 +8 more
doaj +1 more source
Photoswitchable Conductive Metal–Organic Frameworks
Advanced Functional Materials, EarlyView.A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Reinforcement-learning (RL)-based brain-machine interfaces (BMIs) interpret dynamic neural activity into movement intention without patients’ real limb movements, which is promising for clinical applications. A movement task generally requires the
Xiang Shen +5 more
doaj +1 more source