Software-defined networks for resource allocation in cloud computing: A survey

A Mohamed, M Hamdan, S Khan, A Abdelaziz… - Computer Networks, 2021 - Elsevier
Cloud computing has a shared set of resources, including physical servers, networks,
storage, and user applications. Resource allocation is a critical issue for cloud computing …

Intelligent transportation system for internet of vehicles based vehicular networks for smart cities

P Rani, R Sharma - Computers and Electrical Engineering, 2023 - Elsevier
A popular research area is internet traffic analysis as it has many applications, mainly for
classifying internet traffic. Innovative technologies have been developed for predicting and …

Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis

M Alweshah, S Alkhalaileh, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
The importance of medical data and the crucial nature of the decisions that are based on
such data, as well as the large increase in its volume, has encouraged researchers to …

[HTML][HTML] Computational intelligence and soft computing paradigm for cheating detection in online examinations

S Kaddoura, S Vincent, DJ Hemanth - … Intelligence and Soft …, 2023 - hindawi.com
Covid-19 has been a life-changer in the sphere of online education. With complete
lockdown in various countries, there has been a tumultuous increase in the need for …

UAV-based MEC-assisted automated traffic management scheme using blockchain

M Masuduzzaman, A Islam, K Sadia, SY Shin - Future Generation …, 2022 - Elsevier
In this paper, an automated real-time traffic management scheme is proposed by using
unmanned aerial vehicles (UAV) in an effective and secured way. However, owing to the low …

Robust stacking ensemble model for darknet traffic classification under adversarial settings

H Mohanty, AH Roudsari, AH Lashkari - Computers & Security, 2022 - Elsevier
Encrypted traffic tunnelled by Tor or VPN is referred to as darknet traffic. The ability to detect,
identify, and characterize darknet traffic is critical for detecting network traffic generated by a …

Feature selection and dynamic network traffic congestion classification based on machine learning for Internet of Things

A Elngar, A Burlea-Schiopoiu - Wasit Journal of Computer and …, 2023 - wjcm.uowasit.edu.iq
The network traffic congestion classifier is essential for network monitoring systems. Network
traffic characterization is a methodology to classify traffic into several classes supporting …

Machine Learning Approach for Intelligent Transport System in IOV-Based Vehicular Network Traffic for Smart Cities

CD Kokane, G Mohadikar, S Khapekar… - International Journal of …, 2023 - ijisae.org
The transportation industry will face many significant issues, including traffic congestion,
pollution, and ineffective traffic management, as a result of the increasing urbanisation and …

[HTML][HTML] Joint load balancing and offloading optimization in multiple parked vehicle-assisted edge computing

X Hu, X Tang, Y Yu, S Qiu, S Chen - Wireless Communications and …, 2021 - hindawi.com
The introduction of mobile edge computing (MEC) in vehicular network has been a
promising paradigm to improve vehicular services by offloading computation-intensive tasks …

[HTML][HTML] SISME, estuarine monitoring system based on IOT and machine learning for the detection of salt wedge in aquifers: case study of the Magdalena River …

PP Ariza-Colpas, CE Ayala-Mantilla, Q Shaheen… - Sensors, 2021 - mdpi.com
This article contains methods, results, and analysis agreed for the development of an
application based on the internet of things and making use of machine learning techniques …