We propose a machine learning-based intrusion detection system for SDN, considering the special vulnerability of the centralized control plane. It is trained on a publicly available dataset for SDN network traffic, which ...

In many developing countries, the counting of passengers in buses is done manually, resulting in a loss of revenue for the transportation companies. This paper proposes an IoT-based tracking system for passengers in buses ...

The online social media facilitates easy communication between people from various cultures, but language varieties, emotional expression differences and cultural norms confusion could cause misunderstandings and conflicts. ...

Due to cultural and institutional differences, social conflicts in East countries are mainly addressed through mediation mechanisms embedded in community governance, while Western societies tend to rely more on formal ...

This study explores automated extraction and analysis of tabular data from research papers to streamline researchers’ workflows. It integrates Generative AI and Optical Character Recognition within an end-to-end pipeline ...

The proliferation of social media has significantly amplified user interactions, but it also poses serious threats to communities through the spread of harmful content such as hate speech. The emotionally charged and ...

Chronic diseases require long-term, individualized, and adaptive self-management; however, existing digital health solutions often suffer from fragmented medical knowledge, limited personalization, and insufficient ...

The Music Emotion Recognition (MER) system aims to automatically recognize the emotional content of music. MER has gained significant interest in recent times due to its applicability in music recommendation systems, ...

Surveillance video has been widely applied in residential communities, serving as a critical basis for abnormal situation detection, security early warning, and emergency assistance. However, existing machine learning ...

The current study shifts the focus of sustainability researchers to potential rejectors, the set of consumers who intend to abandon a technology (electric vehicles, EVs in this case) after sufficient use. Recent research ...