Detecting COVID-19 as early as possible and quickly is one way to stop the spread of
COVID-19. Machine learning development can help to diagnose COVID-19 more quickly …

Internet data centers have received significant scientific, public, and media attention due to
the challenges associated with their greenhouse gas, water, and land footprint. This …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Aims In the recent past, many studies have been conducted to elucidate the determinants
affecting cloud computing adoption at different institutional levels. The study aims to identify …

With the formation and popularity of the Internet of Things (IoT), the difficulty of protecting IoT
infrastructure and smart devices from a few-shot of ever-changing malicious attacks has …

Cloud solutions accelerate the large‐scale acceptance of IoT projects. By diminishing the
need for maintaining on‐premises infrastructure, the cloud has enabled corporations to …

Cloud technology provides several advantages to users, including quick and simple
deployment methods, lower costs, uninterrupted resource availability, scalability and …

Recently, businesses and organizations are depending on the cloud to provide their
services. The important aspects that need to be taken into consideration when it comes to …

Predicting the best-quality of rice phenotypes is the priority among agricultural researchers
to fulfill worldwide food security. Trend development of predictive models from statistics to …

Tuberculosis (TB) is one of the top ten reasons for death from an infectious agent. Although
TB is curable and preventable, delay in diagnosis and treatment can lead the patient to …