Deep ensemble model for classification of novel coronavirus in chest X‐ray images
The novel coronavirus, SARS‐CoV‐2, can be deadly to people, causing COVID‐19. The
ease of its propagation, coupled with its high capacity for illness and death in infected …
ease of its propagation, coupled with its high capacity for illness and death in infected …
Devanagari handwritten character recognition using fine-tuned deep convolutional neural network on trivial dataset
In order to rapidly build an automatic and precise system for image recognition and
categorization, deep learning is a vital technology. Handwritten character classification also …
categorization, deep learning is a vital technology. Handwritten character classification also …
Handwritten devanagari character recognition using modified lenet and alexnet convolution neural networks
Abstract Despite many advances, Handwritten Devanagari Character Recognition (HDCR)
remains unsolved due to the presence of complex characters. For HDCR, the traditional …
remains unsolved due to the presence of complex characters. For HDCR, the traditional …
Evaluation of deep learning CNN model for recognition of devanagari digit
Devanagari character and digit recognition are a difficult undertaking because writing style
depends on a person's traits and differs from person to person. We get more precise results …
depends on a person's traits and differs from person to person. We get more precise results …
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
Abstract In recent years, Deep Learning models have shown a great performance in
complex optimization problems. They generally require large training datasets, which is a …
complex optimization problems. They generally require large training datasets, which is a …
A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks
Supervised learning with the restriction of a few existing training samples is called Few-Shot
Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust …
Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust …
Comparison of deep neural networks in detecting field grapevine diseases using transfer learning
Plants diseases constitute a substantial threat for farmers given the high economic and
environmental impact of their treatment. Detecting possible pathogen threats in plants based …
environmental impact of their treatment. Detecting possible pathogen threats in plants based …
A new hybrid convolutional neural network and eXtreme gradient boosting classifier for recognizing handwritten Ethiopian characters
Handwritten character recognition has been profoundly studied for many years in the field of
pattern recognition. Due to its vast practical applications and financial implications, the …
pattern recognition. Due to its vast practical applications and financial implications, the …
Deep learning model for distinguishing novel coronavirus from other chest related infections in X-ray images
Novel Coronavirus is deadly for humans and animals. The ease of its dispersion, coupled
with its tremendous capability for ailment and death in infected people, makes it a risk to …
with its tremendous capability for ailment and death in infected people, makes it a risk to …
Deep learning network architecture based Kannada handwritten character recognition
In this work, a novel model for recognition of handwritten Kannada characters using transfer
learning from Devanagari handwritten recognition system is presented. The objective is to …
learning from Devanagari handwritten recognition system is presented. The objective is to …