Zobrazeno 1 - 10
of 2 025
pro vyhledávání: '"Hybrid neural network"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024)
Abstract The Electrocardiogram (ECG) records are crucial for predicting heart diseases and evaluating patient’s health conditions. ECG signals provide essential peak values that reflect reliable health information. Analyzing ECG signals is a fundam
Externí odkaz:
https://doaj.org/article/6d3f607dca6244a28675343e55b4ddcb
Autor:
Ali Al-Maktoumi, Mohammad Mahdi Rajabi, Slim Zekri, Rajesh Govindan, Aref Panjehfouladgaran, Zahra Hajibagheri
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 6, Pp 1333-1350 (2024)
This study presents the ‘Dual Path CNN-MLP’, a novel hybrid deep neural network (DNN) architecture that merges the strengths of convolutional neural networks (CNNs) and multilayer perceptrons (MLPs) for regional groundwater flow simulations. This
Externí odkaz:
https://doaj.org/article/c1b804a8c4bc498c8412c7265532194b
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e35781- (2024)
The finished precision rolling bearings after processing are required to pass the life test before they can be put into the market. The life testing takes a lot of time and expense. Aiming to solve the problem of time and expense, the 1D-CNN and 1D-C
Externí odkaz:
https://doaj.org/article/20038426b14741ed83b776938b6876c8
Autor:
Heming Zhang, Changyuan Wang
Publikováno v:
IEEE Access, Vol 12, Pp 133234-133244 (2024)
Pupil tracking technology is a tracking and detection method that uses eye image information to extract real-time position information of the pupil. Detecting the pilot’s eye movement patterns and characteristics through pupil movement signals is a
Externí odkaz:
https://doaj.org/article/6c493b4981ae4540904ba5616cea291f
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 5, Pp 1-7 (2024)
A modulation format identification (MFI) method is proposed for high-speed optical fiber communication systems employing probabilistic shaping (PS) signals in polarization division multiplexing (PDM). The approach utilizes a multi-feature input hybri
Externí odkaz:
https://doaj.org/article/a8de49c37b09495580efdc987577f881
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 1017-1037 (2024)
Body posture estimation has been a hot branch in the field of computer vision. This work focuses on one of its typical applications: recognition of various body postures in sports scenes. Existing technical methods were mostly established on the basi
Externí odkaz:
https://doaj.org/article/8c8b3fb45af44a728fd2b8ae4b249caa
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Background Tumor deposits (TDs) are associated with poor prognosis in rectal cancer (RC). This study aims to develop and validate a deep learning (DL) model incorporating T2-MR image and clinical factors for the preoperative prediction of TD
Externí odkaz:
https://doaj.org/article/63c429ad70a149efae8ca72f857cd3d1
Publikováno v:
Sensors, Vol 24, Iss 18, p 6132 (2024)
Hybrid physics-based data-driven models, namely, augmented physics-based models (APBMs), are capable of learning complex state dynamics while maintaining some level of model interpretability that can be controlled through appropriate regularizations
Externí odkaz:
https://doaj.org/article/b53356ac5c9e4337a4a8f6cb6aa39049
Autor:
CHENG Yueyu, CHENG Guofeng
Publikováno v:
Zhejiang dianli, Vol 42, Iss 11, Pp 96-103 (2023)
Given the low accuracy of the traditional electricity theft detection method based on one-dimensional electricity consumption data mining and analysis， a detection method for electricity theft by distribution network users based on a hybrid neural
Externí odkaz:
https://doaj.org/article/1845ca4b4fe6431b8b58e09e8eb756f5
Publikováno v:
工程科学学报, Vol 45, Iss 10, Pp 1750-1758 (2023)
The development of deep learning techniques and support of big data computing power have revolutionized graph representation research by facilitating the implementation of the learning of different graph neural network structures. Existing methods, s
Externí odkaz:
https://doaj.org/article/e9abdab1ff894e6f8c4f8b44e7bfc3a2