A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
A federated calibration scheme for convolutional neural networks: Models, applications and challenges
Deep learning has been created as a practical artificial intelligence strategy that takes
various layers of information and gives the best in the effects of different classes. The use of …
various layers of information and gives the best in the effects of different classes. The use of …
The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions
SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
Artificial intelligence-based drone system for multiclass plant disease detection using an improved efficient convolutional neural network
The role of agricultural development is very important in the economy of a country. However,
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
the occurrence of several plant diseases is a major hindrance to the growth rate and quality …
MLNet: Multichannel feature fusion lozenge network for land segmentation
J Gao, L Weng, M Xia, H Lin - Journal of Applied Remote …, 2022 - spiedigitallibrary.org
The use of remote sensing images for land cover analysis has broad prospects. At present,
the resolution of aerial remote sensing images is getting higher and higher, and the span of …
the resolution of aerial remote sensing images is getting higher and higher, and the span of …
Major depressive disorder classification based on different convolutional neural network models: deep learning approach
The human brain is characterized by complex structural, functional connections that
integrate unique cognitive characteristics. There is a fundamental hurdle for the evaluation …
integrate unique cognitive characteristics. There is a fundamental hurdle for the evaluation …
SD-UNET: Stripping down U-net for segmentation of biomedical images on platforms with low computational budgets
PK Gadosey, Y Li, EA Agyekum, T Zhang, Z Liu… - Diagnostics, 2020 - mdpi.com
During image segmentation tasks in computer vision, achieving high accuracy performance
while requiring fewer computations and faster inference is a big challenge. This is especially …
while requiring fewer computations and faster inference is a big challenge. This is especially …
[HTML][HTML] Transformer-based decoder designs for semantic segmentation on remotely sensed images
Transformers have demonstrated remarkable accomplishments in several natural language
processing (NLP) tasks as well as image processing tasks. Herein, we present a deep …
processing (NLP) tasks as well as image processing tasks. Herein, we present a deep …
FeatherNets: Convolutional neural networks as light as feather for face anti-spoofing
P Zhang, F Zou, Z Wu, N Dai, S Mark… - Proceedings of the …, 2019 - openaccess.thecvf.com
Face Anti-spoofing gains increased attentions recently in both academic and industrial
fields. With the emergence of various CNN based solutions, the multi-modal (RGB, depth …
fields. With the emergence of various CNN based solutions, the multi-modal (RGB, depth …
Mobiface: A lightweight deep learning face recognition on mobile devices
Deep neural networks have been widely used in numerous computer vision applications,
particularly in face recognition. However, deploying deep neural network face recognition on …
particularly in face recognition. However, deploying deep neural network face recognition on …