Crowds are a source of transmission in the COVID-19 spread. Contention and mitigation
measures have focused on reducing people's mass gathering. Such efforts have led to a …

As one of the personalization technologies, point-of-interest (POI) recommendation systems
have attracted more and more attention from academic and industrial researchers …

With the constant growth of information, data sparsity problems, and cold start have become
a complex problem in obtaining accurate recommendations. Currently, authors consider the …

This paper proposes a sequential rules-based recommendation system, called STS-Rec. It
addresses the main drawbacks of sequential patterns mining approaches for POI (Point of …

Automation of High-Level Context (HLC) reasoning for intelligent systems at scale is
imperative due to the unceasing accumulation of contextual data in the IoT era, the trend of …

Current context-aware computing still lacks good representation models, particularly in
modeling for proactive decision making in the era of Ubiquitous Computing and the Internet …

The automation of High-Level Context (HLC) reasoning across intelligent systems at scale is
imperative because of the unceasing accumulation of contextual data, the trend of the fusion …

Context-aware computing is one of the most essential computing paradigms in pervasive
computing and Internet of Things (IoT) areas. However, current context-aware computing is …

In ad hoc vehicle networks (VANETs), predicting human mobility is very important for a wide
range of location-based applications. Vehicle nodes constantly move and exchange data …

With the constant growth of information, data sparsity problems, and cold start have become
a complex problem in obtaining accurate recommendations. Currently, authors consider the …