A critical review of the published literature regarding the computational fluid dynamics (CFD)
modelling of single‐phase turbulent flow in stirred tank reactors is presented. In this part of …

Training algorithms in the domain of deep learning, have led to significant breakthroughs
across diverse and subsequent domains including speech, text, images, and video processing. …

In the first part of the review, published literature regarding the CFD modelling of single‐phase
turbulent flow in stirred tank reactors with radial flow impellers was critically analysed. A …

We propose a multi-step training method for designing generalized linear classifiers. First,
an initial multi-class linear classifier is found through regression. Then validation error is …

Unsupervised learning is a type of algorithm that is designed to create a learning paradigm
for the sake of learning. The motivation of unsupervised learning is that although the data …

Linear transformation of the inputs alters the training performance of feed-forward networks
that are otherwise equivalent. However, most linear transforms are viewed as a pre-…

Regression analysis is a method of choice whenever it predicts continuous variables given
a multivariate input variable. It often provides explicit estimates of measure for the cause-…

Diagnosis of lymph node metastases is a challenging task for pathologists, involving an
extensive screening of the pathological scans. Automating diagnostic processes reduces the …

Proteins are complex macromolecules accountable for the biological processes in the cell.
In biomedical research, the images of protein are extensively used in medicine. The rate at …

Crystallization processes in a 500 mL stirred tank crystallizer with computational fluid
dynamics (CFD) and population balances toward estimating how crystal size distributions (CSDs) …