Abstract:
Previous mobile usability studies are only pertinent in the context of ergonomics, physical user interface, and mobility aspects. In addition, much of the previous mobile usability conception was built on desktop computing measurements, such as desktop and web application checklists, or scarcely addressed the mobile user interface. Moreover, the studies focus mainly on interface features... More
Abstract:
Humans, as intricate beings driven by a multitude of emotions, possess a remarkable ability to decipher and respond to socio-affective cues. However, many individuals and machines struggle to interpret such nuanced signals, including variations in tone of voice. This paper explores the potential of intelligent technologies to bridge this gap and improve the quality of... More
Abstract:
In this study, a machine learning algorithm is proposed to be used in the detection of Obstructive Sleep Apnea (OSA) from the analysis of single-channel ECG recordings. Eighteen ECG recordings from the PhysioNet Apnea-ECG dataset were used in the study. In the feature extraction stage, dynamic time warping and median frequency features were obtained from the... More
Abstract:
Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age. As the demand for computational skills continues to grow in preparation for future careers, both teachers and students face the challenge of developing problem-solving, critical thinking, communication, and collaboration skills within an... More
Abstract:
Similarity has been playing an important role in computer science, artificial intelligence (AI) and data science. However, similarity intelligence has been ignored in these disciplines. Similarity intelligence is a process of discovering intelligence through similarity. This article will explore similarity intelligence, similarity-based reasoning, similarity computing and analytics. More specifically, this article looks at the similarity... More