Online gaming and OTT consumption: An exploratory study of generation Z
A Nigam - Journal of Promotion Management, 2022 - Taylor & Francis
This research proposes that Generation Z's gaming personality can help predict their over-
the-top (OTT) consumption behavior. Via a qualitative study (Study 1), we first explore …
the-top (OTT) consumption behavior. Via a qualitative study (Study 1), we first explore …
Next generation mobile networks' enablers: Machine learning-assisted mobility, traffic, and radio channel prediction
Machine learning (ML) is an important component for enabling automation in radio access
networks (RANs). The work on applying ML for RAN has been under development for …
networks (RANs). The work on applying ML for RAN has been under development for …
Prediction of content success and cloud-resource management in internet-of-media-things environments
YS Lee, YS Lee, HR Jang, SB Oh, YI Yoon, TW Um - Electronics, 2022 - mdpi.com
In Internet-of-Media-Things (IoMT) environments, users can access and view high-quality
Over-the-Top (OTT) media services anytime and anywhere. As the number of OTT platform …
Over-the-Top (OTT) media services anytime and anywhere. As the number of OTT platform …
디지털문화콘텐츠특성이이용자만족도와지속이용의도에미치는영향
황낙건 - 한국엔터테인먼트산업학회논문지, 2023 - dbpia.co.kr
4 차 산업혁명으로 디지털 기술 기반이 성장하면서 산업 시장에 다양한 디지털 플랫폼이
제공되고 있다. 이와 함께 COVID-19 로 비대면 중심의 온라인 시장환경이 구축되면서 21 세기 …
제공되고 있다. 이와 함께 COVID-19 로 비대면 중심의 온라인 시장환경이 구축되면서 21 세기 …
Towards a multi-label dataset of internet traffic for digital behavior classification
W Li, G Quenard - 2021 3rd International Conference on …, 2021 - ieeexplore.ieee.org
With the digital transformation of model society, the deep understanding of digital behavior is
critical for both users and service providers. Nevertheless this work is challenging due to the …
critical for both users and service providers. Nevertheless this work is challenging due to the …
Exponentially weighted moving average Lepage-type schemes based on the lower-order percentile of the run-length metrics and their use in monitoring time …
KM Chan, ZL Chong, A Mukherjee - Quality Technology & …, 2023 - Taylor & Francis
Many existing monitoring schemes in the literature are based on the in-control (IC) average
or median run-length. Several Phase-II schemes frequently fail to protect against the high …
or median run-length. Several Phase-II schemes frequently fail to protect against the high …
When explainable AI meets IoT applications for supervised learning
This paper introduces a novel and complete framework for solving different Internet of
Things (IoT) applications, which explores eXplainable AI (XAI), deep learning, and …
Things (IoT) applications, which explores eXplainable AI (XAI), deep learning, and …
Leveraging graph neural networks for SLA violation prediction in cloud computing
AC Maroudis, T Theodoropoulos… - … on Network and …, 2023 - ieeexplore.ieee.org
In this paper we examine different approaches for the prediction of Service Level
Agreements (SLAs) violations that occur during the service provisioning between cloud …
Agreements (SLAs) violations that occur during the service provisioning between cloud …
A heterogeneous learning framework for over-the-top consumer analysis reflecting the actual market environment
The over-the-top (OTT) market for media consumption over wired and wireless Internet is
growing. It is, therefore, crucial that service providers and carriers participating in the OTT …
growing. It is, therefore, crucial that service providers and carriers participating in the OTT …
A study of supervised machine learning algorithms for traffic prediction in SD-WAN
Modern cloud, web and other emerging distributed services have complex network
requirements that cannot be fulfilled via classical networks. This paper presents a novel …
requirements that cannot be fulfilled via classical networks. This paper presents a novel …