Recent progress in digital image restoration techniques: a review
Digital images are playing a progressively important role in almost all the fields such as
computer science, medicine, communications, transmission, security, surveillance, and …
computer science, medicine, communications, transmission, security, surveillance, and …
A machine-learning-based prediction method for hypertension outcomes based on medical data
W Chang, Y Liu, Y Xiao, X Yuan, X Xu, S Zhang… - Diagnostics, 2019 - mdpi.com
The outcomes of hypertension refer to the death or serious complications (such as
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
myocardial infarction or stroke) that may occur in patients with hypertension. The outcomes …
Secure routing with multi-watchdog construction using deep particle convolutional model for IoT based 5G wireless sensor networks
Fifth Generation (5G) security principles are widely expected with effective cryptography
models, information security models, Machine Learning (ML) based Intrusion Detection …
models, information security models, Machine Learning (ML) based Intrusion Detection …
Agrisecure: A fog computing-based security framework for agriculture 4.0 via blockchain
Every aspect of the 21st century has undergone a revolution because of the Internet of
Things (IoT) and smart computing technologies. These technologies are applied in many …
Things (IoT) and smart computing technologies. These technologies are applied in many …
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …
disease due to its detrimental effects on society. As technology and medical diagnostics …
Back propagation neural network based cluster head identification in MIMO sensor networks for intelligent transportation systems
Wireless Sensor Network (WSN) is an essential technology for the Internet-of-Things (IoT)
and intelligence-based applications. In the case of Intelligent Transportation Systems (ITS) …
and intelligence-based applications. In the case of Intelligent Transportation Systems (ITS) …
An effective approach for early liver disease prediction and sensitivity analysis
The liver is one of the most vital organs of the human body. Even when partially injured, it
functions normally. Therefore, detecting liver diseases at the early stages is challenging …
functions normally. Therefore, detecting liver diseases at the early stages is challenging …
A new image denoising framework using bilateral filtering based non-subsampled shearlet transform
In this paper, we propose an advanced framework for image denoising using bilateral
filtering based non-subsampled shearlet transform (NSST). Initially, we apply the NSST to …
filtering based non-subsampled shearlet transform (NSST). Initially, we apply the NSST to …
Color difference classification based on optimization support vector machine of improved grey wolf algorithm
Z Zhou, R Zhang, Y Wang, Z Zhu, J Zhang - Optik, 2018 - Elsevier
In order to establish the color difference classification model of printing and dyeing products,
a grey wolf algorithm optimization support vector machine based on differential evolution …
a grey wolf algorithm optimization support vector machine based on differential evolution …
Convolutional neural networks for noise classification and denoising of images
The goal of this paper is to find whether a convolutional neural network (CNN) performs
better than the existing blind algorithms for image denoising, and, if yes, whether the noise …
better than the existing blind algorithms for image denoising, and, if yes, whether the noise …