Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
Congenital and developmental deformities of the spine in children with myelomeningocele
JT Guille, JF Sarwark, HH Sherk… - JAAOS-Journal of the …, 2006 - journals.lww.com
The treatment of spinal deformities in children with myelomeningocele poses a formidable
task. Multiple medical comorbidities, such as insensate skin and chronic urinary tract …
task. Multiple medical comorbidities, such as insensate skin and chronic urinary tract …
[HTML][HTML] Proteomic de-regulation in cyanobacteria in response to abiotic stresses
PK Babele, J Kumar, V Chaturvedi - Frontiers in Microbiology, 2019 - frontiersin.org
Cyanobacteria are oxygenic photoautotrophs, exhibiting a cosmopolitan distribution in
almost all possible environments and are significantly responsible for half of the global net …
almost all possible environments and are significantly responsible for half of the global net …
[HTML][HTML] Trends in vehicle re-identification past, present, and future: A comprehensive review
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …
An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …
problems related to medical practices. However, researchers are constantly struggling to …
Multiscale and direction target detecting in remote sensing images via modified YOLO-v4
Traditional target detection algorithms have difficulty to adapt complex environmental
changes and have limited applicable scenarios. However, the deep-learning-based target …
changes and have limited applicable scenarios. However, the deep-learning-based target …
A multimodal malware detection technique for Android IoT devices using various features
Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
X chromosome dose and sex bias in autoimmune diseases: increased prevalence of 47, XXX in systemic lupus erythematosus and Sjögren's syndrome
Objective More than 80% of autoimmune disease predominantly affects females, but the
mechanism for this female bias is poorly understood. We suspected that an X chromosome …
mechanism for this female bias is poorly understood. We suspected that an X chromosome …
Online reliable semi-supervised learning on evolving data streams
In todays digital era, a massive amount of streaming data is automatically and continuously
generated. To learn such data streams, many algorithms have been proposed during the …
generated. To learn such data streams, many algorithms have been proposed during the …
Facile and green synthesis of highly dispersed cobalt oxide (Co3O4) nano powder: Characterization and screening of its eco-toxicity
A novel green synthesis of cobalt oxide (Co 3 O 4) nanoparticles using latex of Calotropis
procera via simple precipitation method at room temperature was investigated. An extensive …
procera via simple precipitation method at room temperature was investigated. An extensive …