This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …

The novel coronavirus disease, or COVID-19, is a hazardous disease. It is endangering the
lives of many people living in more than two hundred countries. It directly affects the lungs. In …

COVID-19 declared as a pandemic that has a faster rate of infection and has impacted the
lives and the country's economy due to forced lockdowns. Its detection using RT-PCR is …

Plant-parasitic nematodes cause various diseases that can be fatal to the infected plants. It
causes losses to the agricultural industry, such as crop failure and poor crop quality …

In image classification applications, the most important thing is to obtain useful features.
Convolutional neural networks automatically learn the extracted features during training …

Advance prediction of crop yield is very critical in the context of ensuring food security as the
region specific challenges in social and environmental conditions often infringe plan of …

Deep learning has recently resulted in remarkable performance improvements in machine
fault diagnosis using only raw input vibration signals without signal preprocessing. However …

Deep learning (DL) is becoming increasingly popular in numerous application fields within
the current Fourth Industrial Revolution (4IR) era. This is mainly due to its capability for …

The applications of social robots have continued to rise in number over the years: there are
now mainly used in nursing homes and hospitals, performing different tasks like assistance …

Periodical vision-based inspection is a principal form of structural health monitoring (SHM)
technique. Over the last decades, vision-based artificial intelligence (AI) has successfully …