To better understand the behavior of attackers and describe the network state, we construct
an LSTM-DT model for network security situation awareness, which provides risk …

Data mining is a relevant term that simplifies the exploration and analysis of the huge
amount of data with the aim of looking for hidden and valuable information from it. The area …

In the twenty-first century, Collective intelligence (CI) arose as a social phenomenon to
assist organizations in managing future uncertainty. It pushes a broad diverse group to come …

Classification is one of the most important techniques, is applicable to handle a large
amount of data. It classifies each element of a data set into a set of predetermined classes …

Big data has the ability to open up innovative and ground-breaking prospects for the
electrical grid, which also supports to obtain a variety of technological, social, and financial …

Artificial intelligence (AI) is becoming increasingly important in managing complex and
global supply chain operations. This study identifies four key areas of development …

Due to the dynamic nature and node mobility, assuring the security of Mobile Ad-hoc
Networks (MANET) is one of the difficult and challenging tasks today. In MANET, the …

Air pollution is one of the biggest and serious challenges facing our planet nowadays. In
fact, the need to develop models to predict this issue is considered so crucial. Indeed, our …

Currently, health problems increasingly intrigue the curiosity of data scientists. In fact, data
analytics as a rapidly evolving area can be the right solution to manage, detect and predict …

Detection mechanisms for intrusion play a key role in the identification of vulnerable
behaviors that denigrate IoT networks. Mobile Adhoc Networks (MANETs) are wireless …