Autonomy has become a focal point for research and development in many industries.
Whilst this was traditionally achieved by modelling self-engineering behaviours at the …

Anomalies and faults can be detected, and their causes verified, using both data-driven and
knowledge-driven techniques. Data-driven techniques can adapt their internal functioning …

Background Lifestyle diseases, because of adverse health behavior, are the foremost cause
of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle …

With the increase in the number of IoT farming datasets, it has become so difficult to identify
the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to …

Crop disease management in smart agriculture involves applying and using new
technologies to reduce the impact of diseases on the quality of products. Coffee rust is a …

Discovering the relationship between two entities in a sentence is one of the most important
tasks in natural language processing. Due to the superior feature learning capacity, deep …

The development of the wireless sensor networks technology commonly named WSNs has
been gaining a significantly increased amount of attention from researchers over the last few …

The search and rescue (SAR) scenario is complex and uncertain where a robot needs to
understand the scenario to make smart decisions. Aiming at the knowledge representation …

Knowledge can enhance the intelligence of robots' high-level decision-making. However,
there is no specific domain knowledge base for robot task planning in this field. Aiming to …

Nowadays, computing applications operate in environments with multiple and
heterogeneous data sources, such as data generated from IoT devices. Without contextual …