Demonstrating academic excellence and a strong interest in AI-related domains, seven students of Computer Science Engineering ...

By Dr. Richmond Atuahene1.0 Introduction/ BackgroundGlobalization and digitization are two major trends that will shape the future of nations. Despite the many challenges associated with adapting to ...

Enterprise cybersecurity has shifted from human‑driven patching to autonomous AI warfare. Google Cloud’s Threat Defence initiative redefines contextual triage, remediation, and India’s regulatory edge ...

Abstract: The explosive growth of the Internet of Things (IoT) has introduced vast amounts of data and unprecedented security challenges, making effective anomaly detection in IoT environments a ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

With the rapid development of 6G networks, anomaly detection in network edge intelligence faces significant challenges in system interpretability and trustworthiness. Although machine learning-based ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...

With the continuous upgrading of network attacks, network abnormal traffic detection has become a key technology to ensure network security. However, existing detection methods still face challenges ...