… An ensemble deep learning and Internet of Things (IoT) … Therefore, in this study, a deep
ensemble model is proposed. … Finally, we explain the deep ensemble construction process. …

… In this paper, an ensemble deep learning model that uses … data are fed into the deep LSTM
AE anomaly detection model. In … Moreover, the proposed ensemble model is compared with …

… Thus, to address these challenging tasks, we propose DeL-IoT, a deep ensemble learning
… deep and stacked autoencoders to extract handy features for stacking into an ensemble …

Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …

… Internet of Things (IIoT) systems is of utmost importance, with a primary focus on identifying
cyber-attacks using Intrusion Detection Systems (IDS). Deep … an explainable ensemble DL-…

… In this article, we propose a novel ensemble deep learning … Deep reinforcement learning
for partially observable data poisoning attack in crowdsensing systems,” IEEE Internet Things …

… This study develops an ensemble of deep learning based clinical decision support systems
(EDL-… Moreover, an ensemble of three models, namely, deep belief network (DBN), kernel …

IoT (Internet of things) and Artificial Intelligence (AI), as well as other advanced computing
technologies, have long been used in agriculture.AI-enabled sensors function as smart …

Malicious attacks to software applications are on the rise as more people use Internet of things
(IoT) devices and high-speed internet. When a software system crash happens caused by …

In the past few years, the Industrial Internet of Things (IIoT) started to emerge in different
industry sectors. IIoT connects different physical equipment and systems in order to operate …