It is becoming increasingly prevalent in digital learning research to encompass an array of
different meanings, spaces, processes, and teaching strategies for discerning a global …

With the widespread use of Internet of things (IoT), mobile phones, connected devices and
artificial intelligence (AI), recommender systems (RSs) have become a booming technology …

It is expected that a mixture of autonomous and manual vehicles will persist as a part of the
intelligent transportation system (ITS) for many decades. Thus, addressing the safety issues …

Content Caching at the edge of vehicular networks has been considered as a promising
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …

Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …

Healthcare uses state-of-the-art technologies (such as wearable devices, blood glucose
meters, electrocardiographs), which results in the generation of large amounts of data …

Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and
safety and deep learning (DL) is expected to be the most powerful method for efficient …

Sentiment classification is an interesting and crucial research topic in the field of natural
language processing (NLP). Data-driven methods, including machine learning and deep …

Computer-aided diagnosis (CAD) has always been an important research topic for applying
artificial intelligence in smart healthcare. Sufficient medical data are one of the most critical …

The rapid development of Big Data technology supports the advancement of many fields like
industrial automation, smart healthcare, distributed systems, and many more. Big data is …