Deep learning (DL) has demonstrated its remarkable success in a wide variety of fields. The
development of a DL model is a time-consuming and resource-intensive procedure. Hence …

Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL
model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU …

Extensive user check-in data incorporating user preferences for location is collected through
Internet of Things (IoT) devices, including cell phones and other sensing devices in location …

With the construction and development of smart cities, accurate and real-time traffic
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …

Group recommendations aim to suggest items to a group of users based on their
preferences. Many group recommendations often consider various factors to calculate the …

In recent years, both artificial intelligence (AI) and cloud computing have experienced a
boom across industries, including the sports industry. AI algorithms, machine learning …

Personalized recommendation plays a critical role in providing decision-making support for
product and service analysis in the field of business intelligence. Recently, deep neural …

While recent deep learning workload schedulers exhibit excellent performance, it is arduous
to deploy them in practice due to some substantial defects, including inflexible intrusive …

The increasing demand for learning from massive datasets is restructuring our economy.
Effective learning, however, involves nontrivial computing resources. Most businesses utilize …

With the rapid development of Internet of Things (IoT) technology and the rising popularity of
IoT devices, an increasing number of computing intensive IoT applications have been …