… learning (ML) and deep learning (DL) techniques. Both ML and DL come under the big umbrella
of artificial intelligence (AI) and aim at learning … presents the DL approaches adopted to …

… Furthermore, DL approaches that have been explored and evaluated in different … deep
learning approaches. There are some surveys that have been published on Deep Learning using …

… This paper provides an overview of machine learning and deep learning applications and
approaches in intrusion detection systems by concentrating on network security technologies, …

… learning approach to image segmentation, deep learning approach to image segmentation,
deep learning architectures, typical approaches for implementing deep learning …

… This article reviews the successful application of the machine and deep learning methods
to predict the mechanical properties of concrete. We investigate the prediction accuracy of …

… We followed a trial and error approach to set the parameters for … Although k fold cross-validation
approach is frequently used in … of all deep learning models with train-test split approach. …

… This paper presents a novel deep learning technique for intrusion … deep autoencoder (NDAE)
for unsupervised feature learning. Furthermore, we also propose our novel deep learning …

… Recently, deep learning approaches have been proposed … this paper, we review deep learning
approaches that have been … performance analysis of different deep learning models on a …

… to deep-learning approaches and reviewed 71 recent research works in which deep-learning …
Finally, we discussed the current challenges and future trends of deep learning in …

… deep learning based approach for developing such an efficient and flexible NIDS. We use
Self-taught Learning (STL), a deep learning … We present the performance of our approach and …