Blast-induced overbreak in tunnels can cause severe damage and has therefore been a
main concern in tunnel blasting. Researchers have developed many machine learning …

Abstract The Internet of Things (IoT) has been used in various aspects. Fundamental
security issues must be addressed to accelerate and develop the Internet of Things. An …

The proliferation of internet-connected devices, including smartphones, smartwatches, and
computers, has led to an unprecedented surge in data generation. The rapid rise in device …

The absence of essential security protocols in Industrial Internet of Things (IIoT) networks
introduces cybersecurity vulnerabilities and turns them into potential targets for various …

The system of intrusion detection dataset enables machine learning to recognize attack
activity in the network. The intrusion, however, is naturally imbalanced, most of the traffic is …

Introduction Accurate and fast identification of wood at the species level is critical for
protecting and conserving tree species resources. The current identification methods are …

Integration of deep learning into Intrusion Detection Systems (IDS) for Software Defined
Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS …

Artificial intelligence (AI) and machine learning (ML) have significantly impacted data
analysis in the past few years. Numerous strategies have been developed to accomplish the …

With the increasing complexity and sophistication of cyber-attacks, intrusion detection
systems (IDSs) play a key role in safeguarding computer networks from unauthorized access …

With the increasing complexity and sophistication of cyber-attacks, intrusion detection
systems (IDSs) play a key role in safeguarding computer networks from unauthorized access …