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 ...
Road traffic signs are crucial for road safety, providing drivers with essential information on speed limits, road conditions,
and other important instructions. Accurate recognition of these signs is vital in preventing ...
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 ...
Communications that are encrypted, such as HTTPS, TLS, and VPN, have become popular tools for ensuring privacy;
yet, they can be used for hiding malicious payloads, making intrusion detection more challenging. This study ...
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. ...
The major difficulty of identifying handwritten numbers and alphabetic letters produced by preschoolers is addressed
in this study. It can be challenging for conventional automated recognition systems to correctly interpret ...
Li, Y.; Liu, Z.; Li, W.; Hu, S.; Qi, M.; Tong, P.; Dai, W.(Korea Database Strategy Society (KDSS), 2026)
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 ...
The concept of the discipline "Neuromanagement" was first introduced by Chinese scholar in 2006, aiming to apply
neuroscience and technological methods to study psychological and behavioral issues in management. Over the ...
Abeysekara, W.A.D.S.S.; Yasotha, R.(Korea Database Strategy Society (KDSS), 2026)
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 ...
This research presents the design and implementation of a secure, AI-powered attendance system utilizing dual
authentication through facial recognition and QR code verification. The study addresses the prevalent issues ...
Sweshthika, S.; Yasotha, R.(Korea Database Strategy Society (KDSS), 2026)
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 ...
The correct blood group is important in healthcare, forensics and emergency care, but traditional approaches are
invasive and can only be applied in laboratory facilities with trained personnel, which is not applicable ...
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 ...
Depression is a prevalent mental health disorder that significantly affects emotional well-being, daily functioning, and
quality of life. Although traditional treatments such as psychotherapy and medication are widely ...
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, ...
Thapa, A.(Korea Database Strategy Society (KDSS), 2026)
This article explores the multidimensional nature of poverty from a sociological perspective, contrasting theoretical
definitions with empirical realities. While the monetary approach remains the dominant global and ...
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 ...
Student emotion recognition in classroom and field practice training scenarios is a frequently encountered problem in
neuroeducation. Multichannel EEG emotion recognition can achieve high reliability by exploiting spatial ...
Ashok, K.; Arora, S.(Korea Database Strategy Society (KDSS), 2026)
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 ...
Since solar and wind energy are becoming more and more integrated into electrical grids, accurate forecasting of renewable energy
generation is essential for modern power systems. However, accurate prediction is difficult ...