Abstract Internet of Things (IoT) is one of the most rapidly used technologies in the last
decade in various applications. The smart things are connected in wireless or wired for …

Deep Neural Network (DNN) has gained unprecedented performance due to its automated
feature extraction capability. This high order performance leads to significant incorporation …

Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …

Deep Neural Networks (DNNs) have gained unprecedented popularity due to their high-
order performance and automated feature extraction capability. This has encouraged …

Recently, tremendous interest has been devoted to develop data fusion strategies for energy
efficiency in buildings, where various kinds of information can be processed. However …

The rapid evolution of the Internet of Things (IoT) facilitates the development of IoT
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …

Long short-term memory (LSTM) has been widely used for sequential data modeling.
Researchers have increased LSTM depth by stacking LSTM cells to improve performance …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance
quality and productivity, which reduces inventory and the lead time for delivering custom …

Cyber-physical systems (CPS) and Internet-of-Things (IoT) devices are increasingly being
deployed across multiple functionalities, ranging from healthcare devices and wearables to …