Results 1 to 10 of about 83,113 (127)
Image Super-Resolution Using Capsule Neural Networks
IEEE Access, 2020 Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification ...
Jui-Ting Hsu, Chih-Hung Kuo, De-Wei Chen
doaj +3 more sources
Classification of Defective Fabrics Using Capsule Networks
Applied Sciences, 2022 Fabric quality has an important role in the textile sector. Fabric defect, which is a highly important factor that influences the fabric quality, has become a concept that researchers are trying to minimize. Due to the limited capacity of human resources,
Yavuz Kahraman, Alptekin Durmuşoğlu
doaj +3 more sources
Capsule graph networks for accurate and interpretable crystalline materials property prediction [PDF]
Journal of CheminformaticsAccurate and interpretable modeling of crystalline materials is essential for understanding the structure–property relationships in materials critical in accelerating materials discovery.
Eddah K. Sure, Xing Wu, Quan Qian
doaj +2 more sources
DGA CapsNet: 1D Application of Capsule Networks to DGA Detection
Information, 2019 Domain generation algorithms (DGAs) represent a class of malware used to generate large numbers of new domain names to achieve command-and-control (C2) communication between the malware program and its C2 server to avoid detection by cybersecurity ...
Daniel S. Berman
doaj +3 more sources
Design and Investigation of Capsule Networks for Sentence Classification
Applied Sciences, 2019 In recent years, convolutional neural networks (CNNs) have been used as an alternative to recurrent neural networks (RNNs) in text processing with promising results.
Haftu Wedajo Fentaw, Tae-Hyong Kim
doaj +3 more sources
From Auto-encoders to Capsule Networks: A Survey [PDF]
E3S Web of Conferences, 2021 Convolutional Neural Networks are a very powerful Deep Learning algorithm used in image processing, object classification and segmentation. They are very robust in extracting features from data and largely used in several domains.
El Alaoui-Elfels Omaima, Gadi Taoufiq
doaj +3 more sources
IEEE Access, 2021 This work presents an investigation on Improved Extended Kalman Filter (IEKF) performance for induction motor drive without a speed sensor. The performance of a direct sensorless vector-controlled system through simulation and experimental work is tested.
Mohana Lakshmi Jayaramu +5 more
doaj +1 more source
Simplified Routing Mechanism for Capsule Networks
Algorithms, 2023 Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data ...
János Hollósi +2 more
doaj +1 more source
ICTACT Journal on Image and Video Processing, 2021 The text presented in videos contains important information for a wide range of vision-based applications. The key modules for extracting this information include detection of text followed by its recognition, which are the subject of our study.
Ahmed Tibermacine, Selmi Mohamed Amine
doaj +1 more source
Residual Vector Capsule: Improving Capsule by Pose Attention
IEEE Access, 2021 The convolutional neural network has significantly improved the accuracy of image recognition; however, it performs in a fragile manner when we apply viewpoint transformation or add noise to the image.
Ning Xie, Xiaoxia Wan
doaj +1 more source