Ensemble deep learning: A review
Ensemble learning combines several individual models to obtain better generalization
performance. Currently, deep learning architectures are showing better performance …
performance. Currently, deep learning architectures are showing better performance …
Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
SH Wang, VV Govindaraj, JM Górriz, X Zhang… - Information …, 2021 - Elsevier
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
Improved handwritten digit recognition using convolutional neural networks (CNN)
Traditional systems of handwriting recognition have relied on handcrafted features and a
large amount of prior knowledge. Training an Optical character recognition (OCR) system …
large amount of prior knowledge. Training an Optical character recognition (OCR) system …
An improved faster-RCNN model for handwritten character recognition
Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …
key points and requires prior knowledge. Training an efficient HDR network with these …
Convolutional-neural-network-based handwritten character recognition: an approach with massive multisource data
Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …
networks (CNN) work successfully to run neural networks on direct images. Handwritten …
Efficient lung nodule classification using transferable texture convolutional neural network
Lung nodules are vital indicators for the presence of lung cancer. An early detection
enhances the survival rate of the patient by starting treatment at the right time. The detection …
enhances the survival rate of the patient by starting treatment at the right time. The detection …
CNN architectures for geometric transformation-invariant feature representation in computer vision: a review
A Mumuni, F Mumuni - SN Computer Science, 2021 - Springer
One of the main challenges in machine vision relates to the problem of obtaining robust
representation of visual features that remain unaffected by geometric transformations. This …
representation of visual features that remain unaffected by geometric transformations. This …
EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media
Nowadays, users across the globe interact with one another for information exchange,
communication, and association on various online social media. However, some individuals …
communication, and association on various online social media. However, some individuals …
Uncertainty-aware decisions in cloud computing: Foundations and future directions
The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been developing, considering …
the cloud infrastructure. Many intelligent systems have been developing, considering …