Maternal health is an important aspect of women's health during pregnancy, childbirth, and
the postpartum period. Specifically, during pregnancy, different health factors like age, blood …

Home appliances are the most common products which contribute to the energy
consumption and carbon emissions at individual level. Nudging public to adopt energy …

Abstract Machine learning (ML) approach based on big-data is a powerful tool of fatigue life
prediction and some potential results can be obtained. The present study introduces a multi …

Financial fraud cases are on the rise even with the current technological advancements.
Due to the lack of inter-organization synergy and because of privacy concerns, authentic …

The use of machine learning (ML) algorithms for power demand and supply prediction is
becoming increasingly popular in smart grid systems. Due to the fact that there exist many …

Lung cancer is considered the most common and the deadliest cancer type. Lung cancer
could be mainly of 2 types: small cell lung cancer and non-small cell lung cancer. Non-small …

Intermittency in the grid creates operational issues for power system operators (PSO). One
such intermittent parameter is load. Accurate prediction of the load is the key to proper …

The emergence of the coronavirus disease 2019 (COVID-19) pandemic has caused great
fear and panic around the world. In order to fight the COVID-19 virus, countries have had to …

Today, people of all ages are increasingly using Web platforms for social interaction.
Consequently, many tasks are being transferred over social networks, like advertisements …

The traditional definitive diagnosis of brain tumors is performed by needle biopsy under the
guidance of imaging-based exams. This paradigm is based on the experience of …