Segmentation-based classification deep learning model embedded with explainable AI for COVID-19 detection in chest X-ray scans
Background and Motivation: COVID-19 has resulted in a massive loss of life during the last
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
Smart healthcare system using integrated and lightweight ECC with private blockchain for multimedia medical data processing
HB Mahajan, AA Junnarkar - Multimedia Tools and Applications, 2023 - Springer
Abstract Cloud-based Healthcare 4.0 systems have research challenges with secure
medical data processing, especially biomedical image processing with privacy protection …
medical data processing, especially biomedical image processing with privacy protection …
A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images
B Gülmez - Annals of Operations Research, 2023 - Springer
The coronavirus first appeared in China in 2019, and the World Health Organization (WHO)
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
named it COVID-19. Then WHO announced this illness as a worldwide pandemic in March …
Convolutional neural network approach based on multimodal biometric system with fusion of face and finger vein features
Y Wang, D Shi, W Zhou - Sensors, 2022 - mdpi.com
In today's information age, how to accurately identify a person's identity and protect
information security has become a hot topic of people from all walks of life. At present, a …
information security has become a hot topic of people from all walks of life. At present, a …
Fabric defect detection based on separate convolutional UNet
L Cheng, J Yi, A Chen, Y Zhang - Multimedia Tools and Applications, 2023 - Springer
Defect detection in the textile industry is an important and demanding task. Traditional
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …
Finger-vein presentation attack detection using depthwise separable convolution neural network
Biometrics is a powerful tool for identifying and authenticating persons based on their
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …
unique characteristics. Finger vein (FV) seems to be an emerging biometric of all types of …
A unified lightweight CNN-based model for disease detection and identification in corn, rice, and wheat
Plant diseases are a significant threat to global food security since they directly affect the
quality of crops, leading to a decline in agricultural productivity. Several researchers have …
quality of crops, leading to a decline in agricultural productivity. Several researchers have …
Optimally enhanced fractional-order cascaded integral derivative tilt controller for improved load frequency control incorporating renewable energy sources and …
This article discusses the intermittent nature of renewable energy sources and electric
vehicles for improved load frequency control mechanism of interconnected power system …
vehicles for improved load frequency control mechanism of interconnected power system …
Improving ransomware detection based on portable executable header using xception convolutional neural network
CC Moreira, DC Moreira, CS de Sales Jr - Computers & Security, 2023 - Elsevier
All malware are harmful to computer systems; however, crypto-ransomware specifically
leads to irreparable data loss and causes substantial economic prejudice. Ransomware …
leads to irreparable data loss and causes substantial economic prejudice. Ransomware …
Color image restoration by filtering methods: a review
Digital images are corrupted with noise, and image denoising is an important step in image
processing modules. In this review, the latest developments in filtering methods for color …
processing modules. In this review, the latest developments in filtering methods for color …