Despite the recent progress in Deep Neural Networks (DNNs) to characterize histopathology
images, compactly representing a gigapixel whole-slide image (WSI) via salient features to …

In order to improve the product disassembly efficiency, the disassembly line balancing
problem (DLBP) is transformed into a problem of searching for the optimum path in the …

Research has proved that DNA Microarray data containing gene expression profiles are
potentially excellent diagnostic tools in the medical industry. A persistent problem with …

Selecting the best features in a dataset improves accuracy and efficiency of classifiers in a
learning process. Datasets generally have more features than necessary, some of them …

Abstract N6-methyladenosine (m6A) modifications are one the most frequently occurring
RNA post transcriptional modifications. These modifications perform vital roles in different …

Surface finish, especially the surface finish of functional features, and build time are two
important concerns in additive manufacturing. A suitable part deposition orientation can …

The book emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a
case study. The book illustrates the predictive models with integrated fuel consumption …

Feature reduction is an important pre-processing step in classification and other artificial
intelligent applications. Its aim is to improve the quality of feature sets. There are two main …

With emerging population and transportation in today's world, traffic has become a
challenging issue to be addressed. Most of the metropolitan cities are facing various traffic …

Additive manufacturing has enabled the development of lightweight lattice structures, which
are widely used in orthopedic implant, aerospace and filtration fields. The traditional method …