Results 71 to 80 of about 298,507 (214)

Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2020
Adopting the most suitable optimization algorithm (optimizer) for a Neural Network Model is among the most important ventures in Deep Learning and all classes of Neural Networks. It’s a case of trial and error experimentation.
Noor Fatima
doaj   +1 more source

Multi-Step Physics-Informed Deep Operator Neural Network for Directly Solving Partial Differential Equations

open access: yesApplied Sciences
This paper establishes a method for solving partial differential equations using a multi-step physics-informed deep operator neural network. The network is trained by embedding physics-informed constraints.
Jing Wang   +6 more
doaj   +1 more source

EDNC: Ensemble Deep Neural Network for COVID-19 Recognition [PDF]

open access: gold, 2022
Lin Yang, Shuihua Wang‎, Yudong Zhang
openalex   +1 more source

Deep learning for chemoinformatics

open access: yes大数据, 2017
Deep learning have been successfully used in computer vision,speech recognition and natural language processing,leading to the rapid development of artificial intelligence.The key technology of deep learning was also applied to chemoinformatics,speeding ...
Youjun XU, Jianfeng PEI
doaj  

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms

open access: yesSensors, 2019
In this paper, one solution for an end-to-end deep neural network for autonomous driving is presented. The main objective of our work was to achieve autonomous driving with a light deep neural network suitable for deployment on embedded automotive ...
Jelena Kocić   +2 more
doaj   +1 more source

Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network [PDF]

open access: gold, 2022
Michael Lempart   +9 more
openalex   +1 more source

Insight mixed deep neural network architectures for molecular representation

open access: yesAlexandria Engineering Journal
Learning molecular representation is a crucial task in the field of drug discovery, particularly for various specific applications such as predicting molecular properties.
Tianze Zhao   +4 more
doaj   +1 more source

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