With the raise of Internet of Things (IoT), the Digital Twin (DT) concept came across
newfound lifeblood. The rapidly growing volume and breadth of data that can be captured …

Human-oriented and machine-generated data in cyber-physical-social systems are often
complicated graph-structured. Graph-powered learning methods are conducive to …

In this paper, we propose a novel congested crowd counting network for crowd density
estimation, ie, the Adaptive Multi-scale Context Aggregation Network (MSCANet). MSCANet …

In many Internet of Things (IoT) environments, the lifetime of a sensor is linked to its power
supply. Sensor devices capture external information and transmit it. They also receive …

The traditional dietary recommendation systems are basically nutrition or health-aware
where the human feelings on food are ignored. Human affects vary when it comes to food …

The behavioral analysis of smart devices plays a key role in enforcing security for IoT
environments. In particular, anomalous patterns can be targeted in the behavior of smart …

The development of IoT solutions requires the expertise from professionals from several
areas. This multidisciplinary aspect can be better served with an integrated process to …

Traffic modeling is a valuable tool for simulating traffic characteristics and assessing the
effectiveness of new network mechanisms and protocol designs. The emergence of the …

This paper provides an overview of the challenges and pathways involved in achieving a
low-carbon-oriented energy transition roadmap and power system planning strategy. The …

Proactive cyber-risk assessment is gaining momentum due to the wide range of sectors that
can benefit from the prevention of cyber-incidents. The increasing connectivity of digital and …