Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study
Covid-19 is a highly contagious virus which almost freezes the world along with its economy.
Its ability of human-to-human and surface-to-human transmission turns the world into …
Its ability of human-to-human and surface-to-human transmission turns the world into …
Emergency decision support modeling for COVID‐19 based on spherical fuzzy information
S Ashraf, S Abdullah - International Journal of Intelligent …, 2020 - Wiley Online Library
Significant emergency measures should be taken until an emergency event occurs. It is
understood that the emergency is characterized by limited time and information, harmfulness …
understood that the emergency is characterized by limited time and information, harmfulness …
Novel spherical fuzzy distance and similarity measures and their applications to medical diagnosis
Spherical fuzzy sets (SFSs) have recently become more popular in various fields. It was
proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to …
proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to …
Self organizing maps for the parametric analysis of COVID-19 SEIRS delayed model
Since 2019, entire world is facing the accelerating threat of Corona Virus, with its third wave
on its way, although accompanied with several vaccination strategies made by world health …
on its way, although accompanied with several vaccination strategies made by world health …
“Transfer Learning” for Bridging the Gap Between Data Sciences and the Deep Learning
A Sohail - Annals of Data Science, 2024 - Springer
Over the past two decades, the community of data science, computer vision and
programming has evolved rapidly and new programming techniques have replaced the …
programming has evolved rapidly and new programming techniques have replaced the …
Algorithms for decision-making process using complex Pythagorean fuzzy set and its application to hospital siting for COVID-19 patients
Since the start of COVID-19, a fair amount of work has been undertaken by scholars around
the world to model its progression. It became clear from the start of pandemic that its …
the world to model its progression. It became clear from the start of pandemic that its …
[HTML][HTML] Piecewise differentiation of the fractional order CAR-T cells-SARS-2 virus model
The pandemic caused by the SARS-CoV2 virus has prompted research into new therapeutic
solutions that can be used to treat the CoVid-19 syndrome. As part of this research …
solutions that can be used to treat the CoVid-19 syndrome. As part of this research …
Inhibition of S-protein RBD and hACE2 interaction for control of SARSCoV-2 infection (COVID-19)
SK Nayak - Mini Reviews in Medicinal Chemistry, 2021 - ingentaconnect.com
Background: COVID-19 has become a pandemic with higher morbidity and mortality rates
after its start from Wuhan city of China. The infection by RNA virus, also known as SARS …
after its start from Wuhan city of China. The infection by RNA virus, also known as SARS …
Hybrid algorithm for the classification of fractal designs and images
The fractal patterns are recursive patterns and are self-similar in nature. The fractal geometry
provides better understanding of natural patterns as compared to the Euclidean geometry …
provides better understanding of natural patterns as compared to the Euclidean geometry …
Delayed modeling approach to forecast the periodic behavior of SARS-2
The ongoing threat of Coronavirus is alarming. The key players of this virus are modeled
mathematically during this research. The transmission rates are hypothesized, with the aid of …
mathematically during this research. The transmission rates are hypothesized, with the aid of …