The rapid growth in miniaturization of low-power embedded devices and advancement in
the optimization of machine learning (ML) algorithms have opened up a new prospect of the …

The advancements in machine learning (ML) opened a new opportunity to bring intelligence
to the low-end Internet-of-Things (IoT) nodes, such as microcontrollers. Conventional ML …

In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …

Deep neural networks have recently become increasingly used for a wide range of
applications,(eg, image and video processing). The demand for edge inference is growing …

The edge computing paradigm for Internet-of-Things brings computing closer to data
sources, such as environmental sensors and cameras, using connected smart devices. Over …

Abstract Background and Objective Food ingestion is an integral part of health and wellness.
Continues monitoring of different food types and observing the amount being consumed …

Identifying and recognizing the food on the basis of its eating sounds is a challenging task,
as it plays an important role in avoiding allergic foods, providing dietary preferences to …

As food intake patterns become less structured, different methods of dietary assessment may
be required to capture frequently omitted snacks, smaller meals, and the time of day when …

The Internet of Things (IoT) has made it possible to include everyday objects in a connected
network, allowing them to intelligently process data and respond to their environment. Thus …

Several studies have shown the importance of proper chewing and the effect of chewing
speed on the human health in terms of caloric intake and even cognitive functions. This …