This paper extensively explores the global impact of COVID-19 on mortality, society, and
health, emphasizing the pressing need for accurate prediction models to navigate the ever …

Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …

Acute lower respiratory infection is a leading cause of death in developing countries. Hence,
progress has been made for early detection and treatment. There is still a need for improved …

Feature fusion techniques have been proposed and tested for many medical applications to
improve diagnostic and classification problems. Specifically, cervical cancer classification …

The global nature of seaport operations makes shipping companies susceptible to potential
impacts. Sustainability requires seaport authorities to understand the underlying …

Considerable resources, technology, and efforts are being utilized worldwide to eradicate
the coronavirus. Although certain measures taken to prevent the further spread of the …

Detection and segmentation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-
COV2 or COVID-19) is a difficult task due the different kinds of shapes, sizes and positions of …

Acute lower respiratory infection is a leading cause of death in developing countries. Hence,
progress has been made for early detection and treatment. There is still a need for improved …

This article proposes a deep-learning approach to classify COVID-19 cases using image
data. Our model uses a convolutional neural network (CNN) to extract features from chest X …

The global nature of seaport operations makes shipping companies susceptible to potential
impacts. Sustainability requires seaport authorities to understand the underlying …