Matrix multiplication has been widely used in scientific area, such as AI/ML, semiconductor atomic simulation and so on. My project will combine all of the content I had learned in this semester. With ...

Polymer matrix composites (PMCs) are made by reinforcing a polymer-based matrix with glass, carbon, or aramid fibers. PMCs are classified into thermosetting and thermoplastic resins based on the type ...

Biological samples are often heterogeneous mixtures of different types of cells. Suppose we have two single-cell datasets, each providing information on a different cellular feature and generated on a ...

Bladder regeneration is a long-sought goal that could provide alternatives to cystoplasty using non-urological tissues. Regeneration might be achieved in different ways, such as seeding matrices with ...

This course is part of the Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI. After completing this course, learners will be able to: Represent data as vectors and ...

Abstract: Rough set theory is a useful tool for dealing with inexact, uncertain or vague knowledge of information systems. The core concepts of classical rough sets are lower and upper approximation ...

Composite matrix materials are engineered by combining two or more distinct substances to create a material with improved ...