Deep Residual Networks have recently been shown to significantly improve the
performance of neural networks trained on ImageNet, with results beating all previous …

This paper provides an extensive and complete survey on the process of detecting and
preventing various types of IoT‐based security attacks. It is designed for software …

Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …

Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

In recent times, big data classification has become a hot research topic in various domains,
such as healthcare, e-commerce, finance, etc. The inclusion of the feature selection process …

Digital technologies integrated into port logistics are becoming increasingly decisive among
port cities around the world. This growing importance is due to the need for policymakers …

As the world keeps advancing, the need for automated interconnected devices has started to
gain significance; to cater to the condition, a new concept Internet of Things (IoT) has been …

Interest in semantic segmentation of 3D point clouds using ML and DL has grown due to
their key role in scene insight across a wide range of computer vision, robotics and remote …

The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …