Fungal infections or mycosis cause a wide range of diseases in humans and animals. The
incidences of community acquired; nosocomial fungal infections have increased …

Due to the rapid emergence of multi-drug resistant (MDR) bacteria, existing antibiotics are
becoming ineffective. So, researchers are looking for alternatives in the form of antibacterial …

Recent advances in artificial intelligence (AI), especially convolutional neural networks
(CNNs), alongside the digitization of histopathological images, have made the computer …

Automated brain disease classification is one of the complex and widespread issues for
machine learning and biomedical engineering. Various models and papers have been …

Rapid increase in viral outbreaks has resulted in the spread of viral diseases in diverse
species and across geographical boundaries. The zoonotic viral diseases have greatly …

The application of machine intelligence in biological sciences has led to the development of
several automated tools, thus enabling rapid drug discovery. Adding to this development is …

This paper introduces a novel murmuration-flight-based dispersive optimization algorithm
(MDO) inspired by the natural phenomena of starlings' murmuration, flight patterns of …

Hacks, unauthorised access, and other problems have increased the risk to the healthcare
system dependent on data analytics in recent years. When a system is kept in its factory …

Automatic biology image classification is essential for biodiversity conservation and
ecological study. Recently, due to the record‐shattering performance, deep convolutional …

Object detection has achieved significant progress in attaining high-quality performance
without leaking private messages. However, traditional approaches cannot defend the …