In recent years, advancements in the field of the artificial intelligence (AI) gained a huge
momentum due to the worldwide appliance of this technology by the industry. One of the …

Cloud computation has become prominent with seemingly unlimited amount of storage and
computation available to users. Yet, security is a major issue that hampers the growth of …

The pervasive nature of WSN-based IoT devices provides benefits for the industry,
healthcare, and other environments. Because of that, a secure network that identifies sensor …

Clustering is an unsupervised machine learning approach which plays a great role in
assigning the data sets into specific clusters based upon some similarity or dissimilarity …

Anomaly detection has drawn public attentions in past decades. However, in a high-
dimensional sparse data space, anomaly detection still faces big challenges. In this paper …

Today IT vendors and mail/web/internet providers put their cloud strategy in the first place.
Challenges such as data security, privacy protection, data access, storage model, lack of …

An unsupervised anomaly detection approach DGANs is proposed based on ensemble
GANs with Dropout. The comparisons with representative approaches on 10 public datasets …

Need of effective and efficient Intrusion Detection System, used the concept of hybrid
approach in Iintrusion Detection System where many combination of different techniques …

With the rise of the application of machine learning in academia and industrial sector,
clustering has become an important field of study. Clustering has been extensively used in …

Background: 96-well microtiter plate assay are becoming popular analytical procedures in
laboratory and clinical practices generating a demand for microtiter plate readers. The …