Results 141 to 150 of about 41,443 (305)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Prediction of Solar Energy Generation Sequence Using Convolutional Recurrent Neural Network Encoder-Decoder [PDF]

, 2018
학위논문 (석사)-- 서울대학교 대학원 : 공과대학 산업공학과, 2018. 2. 조성준.최근 재생 가능한 에너지 사업 시장의 규모가 점차 확대되고 있다. 특히 에너지 사용량이 많은 기업, 공공 기관 등에서는 에너지 관련 비용 감소를 위해 태양광 발전 등과 같은 재생 가능한 에너지를 이용한다. 건물 에너지 관리 시스템의 효율적 운영을 위해서는 주요 에너지 공급원인 태양광 발전량을 미리 예측하는 것이 중요하며 본 연구에서 이를 진행하였다.
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core  

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis

, 2021
To be published in the Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020), Barcelona, Spain, Sep. Association for Computational LinguisticsThis paper describes the participation of LIMSI UPV team in SemEval-2020 Task 9 ...
Ghannay, Sahar, Banerjee, Somnath, Vilnat, Anne, Rosso, Paolo, Rosset, Sophie   +4 more
core  

Neural network device for recognizing speech commands based on hardware accelerators of the NEUROMATRIX family

Безопасность информационных технологий
Various approaches to solving the problem of speech command recognition in real time using artificial neural networks (ANN) of several types are considered.
Vladislav V. Zholondkovskiy, Yuri I. Bocharov, Vladimir A. Butuzov   +2 more
doaj   +1 more source

A Parallel Cross Convolutional Recurrent Neural Network for Automatic Imbalanced ECG Arrhythmia Detection with Continuous Wavelet Transform. [PDF]

Sensors (Basel), 2022
Toma TI, Choi S.
europepmc   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry

, 2020
Using logistic regression technique and Deep Recurrent Convolutional Neural Network, this study seeks to improve the capacity of existing bankruptcy prediction models for the restaurant industry.
Manuel A. Fernández-Gámez, Eva Aranda, Rafael Becerra-Vicario, David Alaminos   +3 more
core   +1 more source

Research on short-term electric load forecasting based on DCT-CNN-GRU

Diance yu yibiao
The short-term electric load forecasting is featured with nonlinearity, periodicity and rapid changes. Therefore, it requires a powerful model to effectively extract information from it.
LIU Wei, CAI Dongsheng, FENG Fuyong, HAN Hao, HUANG Qi   +4 more
doaj   +1 more source

A Framework for Enhancing Stock Investment Performance by Predicting Important Trading Points with Return-Adaptive Piecewise Linear Representation and Batch Attention Multi-Scale Convolutional Recurrent Neural Network. [PDF]

Entropy (Basel), 2023
Lin Y, Liu B.
europepmc   +1 more source

A Pollen‐Enhanced Bionic Mechanoreceptor Induced by Asymmetric Ionic Convection in Hydrogel for Sensory‐Augmented Prostheses

Advanced Science, EarlyView.
This work proposed a pollen‐enhanced bionic mechanoreceptor based on ionic convection. Leveraging the ion anchoring effect of the pollen particle, the output performance could be ∼12 times higher than the original state. By employing deep learning models as AI brains, the feasibility of a sensory‐augmented prosthesis consisting of a pollen‐enhanced ...
Zi Hao Guo, Jingyu Deng, Yanzhang Xu, Chenchen Zhou, Yangshi Shao, Xiong Pu, Munho Kim, Namjoon Cho   +7 more
wiley   +1 more source