Artificial Intelligence (AI)-based formulation development is a promising approach for
facilitating the drug product development process. AI is a versatile tool that contains multiple …

Increasingly, extracting knowledge from data has become an important task in organizations
for performance improvements. To accomplish this task, data-driven Prognostics and Health …

Synthetic data generation for tabular data unlike computer vision, is an emerging challenge.
When tabular data needs to be synthesized, it either faces a small dataset problem or …

Nowadays, caesarean section (CS) is given preference over vaginal birth and this trend is
rapidly rising around the globe, although CS has serious complications such as pregnancy …

Dried grapes (or Raisins) are among the most frequently grown and consumed cereal crops
worldwide. They are also an important source of nutrition and nourishment in a variety of …

Predicting student dropout is a challenging problem in the education sector. This is due to
an imbalance in student dropout data, mainly because the number of registered students is …

Data generation techniques are one of the emerging trends in machine learning in the last
decade. Despite huge data availability, small datasets are still an issue to tackle for decision …

Background The use of artificial intelligence has revolutionized every area of life such as
business and trade, social and electronic media, education and learning, manufacturing …

Data mining using machine learning algorithms can be used to help analyze historical data
to predict the need for a caesarean section. The dataset used for predicting caesarean …

Clinical decision support systems (CDSS) have been designed, implemented, and validated
to help clinicians and practitioners for decision-making about diagnosing some diseases …