Results 21 to 30 of about 534,506 (301)

Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN)

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2021
Hadis merupakan sumber hukum dan pedoman kedua bagi umat Islam setelah Al-Qur’an dan banyak sekali hadis yang telah diriwayatkan oleh para ahli hadis selama ini.
Muhammad Yuslan Abu Bakar   +1 more
doaj   +1 more source

Detection of exomoons in simulated light curves with a regularized convolutional neural network

open access: yes, 2020
Many moons have been detected around planets in our Solar System, but none has been detected unambiguously around any of the confirmed extrasolar planets.
Alshehhi, Rasha   +3 more
core   +1 more source

Content-aware convolutional neural networks [PDF]

open access: yesNeural Networks, 2021
Accepted by Neural ...
Mingkui Tan   +7 more
openaire   +4 more sources

Convolutional Neural Networks With Dynamic Regularization [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2021
Regularization is commonly used for alleviating overfitting in machine learning. For convolutional neural networks (CNNs), regularization methods, such as DropBlock and Shake-Shake, have illustrated the improvement in the generalization performance. However, these methods lack a self-adaptive ability throughout training.
Yi Wang   +3 more
openaire   +4 more sources

Optimization design of binary VGG convolutional neural network accelerator

open access: yesDianzi Jishu Yingyong, 2021
Most of the existing researches on accelerators of binary convolutional neural networks based on FPGA are aimed at small-scale image input, while the applications mainly take large-scale convolutional neural networks such as YOLO and VGG as backbone ...
Zhang Xuxin   +3 more
doaj   +1 more source

Simplicial Convolutional Neural Networks

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Graphs can model networked data by representing them as nodes and their pairwise relationships as edges. Recently, signal processing and neural networks have been extended to process and learn from data on graphs, with achievements in tasks like graph signal reconstruction, graph or node classifications, and link prediction.
Yang, M. (author)   +2 more
openaire   +3 more sources

Performance of a Convolutional Neural Network-Based Artificial Intelligence Algorithm for Automatic Cephalometric Landmark Detection

open access: yesTurkish Journal of Orthodontics, 2022
Objective: The aim of this study is to develop an artificial intelligence model to detect cephalometric landmark automatically enabling the automatic analysis of cephalometric radiographs which have a very important place in dental practice and is used ...
Mehmet Uğurlu
doaj   +1 more source

A Machine Learning Approach to Screen for Otitis Media Using Digital Otoscope Images Labelled by an Expert Panel

open access: yesDiagnostics, 2022
Background: Otitis media includes several common inflammatory conditions of the middle ear that can have severe complications if left untreated. Correctly identifying otitis media can be difficult and a screening system supported by machine learning ...
Josefin Sandström   +4 more
doaj   +1 more source

Detecting Distracted Driving with Deep Learning [PDF]

open access: yes, 2017
© Springer International Publishing AG 2017Driver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving.
A Nabo   +9 more
core   +2 more sources

Pointwise Convolutional Neural Networks [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
10 pages, 6 figures, 10 tables.
Binh-Son Hua   +2 more
openaire   +3 more sources

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