Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins. However, sensors might be unreliable due to inherent issues …

Wind speed sensors of wind turbines are prone to suffer from performance degeneration or
even drastic failures due to their inherent issues or environmental influence, which directly …

This paper presents a new evolving intelligent model capable of combining the techniques
and concepts of artificial neural networks, fuzzy systems and artificial hydrocarbon networks …

In this paper, we propose a novel sensor validation architecture, which performs sensor fault
detection, isolation and accommodation (SFDIA). More specifically, a machine-learning …

The application of new technologies such as the Internet of Things offers the opportunity to
improve current agricultural development, facilitate daily tasks, and turn farms into efficient …

Due to ageing or adverse environment, the sensors of an HVAC system deteriorate
progressively and fail to produce the desired output after sometime. Each HVAC system has …

Abstract Machine learning and data mining tasks in big data involve different nature of inputs
that typically exhibit high dimensionality, eg more than 1,000 features, far from current …

The transferring of huge multimedia data over the limited bandwidth environment has many
challenges in real time. Wireless Multimedia Sensor Networks (WMSN) is a special type of …

Sažetak Network localization is an emerging paradigm that enables high-accuracy location
awareness in global positioning system (GPS)-challenged environments. The existing …

This paper presents the benefits of applying the artificial neural networks technique to model
the building indoor temperature variations caused by implementing roof coatings. Four of the …