An important determinant of population health is the caliber and quality of food that can
directly affect the health of the population. Herbs and spices are now the primary ingredients …

An intelligent sensing framework using Machine Learning (ML) and Deep Learning (DL)
architectures to precisely quantify dielectrophoretic force invoked on microparticles in a …

This study aims to optimize the object identification process, especially identifying trash in
the house compound. Most object identification methods cannot distinguish whether the …

Computer vision is the science that enables computers and machines to see and perceive
image content on a semantic level. It combines concepts, techniques, and ideas from …

Businesses, security agencies, institutions, and individuals depend on wireless
communication to run their day-to-day activities successfully. The ever-increasing demand …

The ability to accurately quantify dielectrophoretic (DEP) force is critical in the development
of high-efficiency microfluidic systems. This is the first reported work that combines a textile …

While capable of image classification, traditional neural networks are characterized by
feature extraction, a time-consuming process that leads to poor generalization on test data …

In the recent times, deep learning has gained significant importance in various domains.
Computer Vision is one the domains in which deep learning has seen vast development and …

In this paper, the utility of data augmentation in plant recognition is presented. For this, the
Swedish Leaf dataset is used. It covers 15 species with 75 images per species. After …

Computer vision is the science that enables computers and machines to see and perceive
image content on a semantic level. It combines concepts, techniques, and ideas from …