This study provides a review of CNN's ensemble learning method for transfer learning by
highlighting sections such as review studies, datasets, pre-trained models, transfer learning …

In this article, we present a dataset that comprises different physical rehabilitation
movements. The dataset was captured as part of a research project intended to provide …

Abstract The Internet of Things (IoT) incorporates most extensive number of innovations and
imagines a mixture of things or questions around us that, through one of a kind tending to …

Smart home technologies can enable older adults, including those with dementia, to live
more independently in their homes for a longer time. Activity recognition, in combination with …

Automatic gym activity recognition on energy-and resource-constrained wearable devices
removes the human-interaction requirement during intense gym sessions-like soft-touch …

Olive cultivation over the past few years has spread across Mediterranean countries with
Spain being the world's largest olive producer among them. Because olives are a major part …

Computational Ethology studies focused on human beings is usually referred as Human
Activity Recognition (HAR). Specifically, this paper belongs to a line of work on the …

In e-learning, detecting student behavior in interacting with the Learning Management
system (LMS) is needed to create personalized learning. Analysis of the learning context is …

An enormous volume of data, known as Big Data, of varied properties, is continuously being
generating from several sources. For efficient and consequential use of this huge amount of …

Machine learning methods for clustering and classification are widely used in various
domains. However, their performance and applicability may depend on the characteristics of …