A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
AI-based wormhole attack detection techniques in wireless sensor networks
The popularity of wireless sensor networks for establishing different communication systems
is increasing daily. A wireless network consists of sensors prone to various security threats …
is increasing daily. A wireless network consists of sensors prone to various security threats …
Energy efficient optimal routing for communication in VANETs via clustering model
M Elhoseny, K Shankar - Emerging technologies for connected internet of …, 2020 - Springer
Abstract Vehicular Ad Hoc Network (VANET) is a kind of extraordinary remote ad hoc
network, which has high node portability and quick topology changes. Clustering is a system …
network, which has high node portability and quick topology changes. Clustering is a system …
Trust-based secure clustering in WSN-based intelligent transportation systems
Increasing the number of vehicles on roads leads to congestion and safety problems.
Wireless Sensor Network (WSN) is a promising technology providing Intelligent …
Wireless Sensor Network (WSN) is a promising technology providing Intelligent …
Optimal cluster head selection for energy efficient wireless sensor network using hybrid competitive swarm optimization and harmony search algorithm
Abstract A Wireless Sensor Network (WSN) is a network made up of many sensor nodes that
are geographically dispersed. Because the sensor nodes in WSN are battery-powered …
are geographically dispersed. Because the sensor nodes in WSN are battery-powered …
Anomaly detection in wireless sensor network using machine learning algorithm
IGA Poornima, B Paramasivan - Computer communications, 2020 - Elsevier
Abstract Security in the Wireless Sensor Network (WSNs) is an essential and a challenging
task. Anomaly detection is a key challenge to ensure the security in WSN. WSNs are …
task. Anomaly detection is a key challenge to ensure the security in WSN. WSNs are …
Smart E-commerce logistics construction model based on big data analytics
S Guan - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
With the continuous implementation of the Belt and Road Initiative of China, cross-border e-
commerce is gradually becoming one of the main ways of trade. The smart operation of …
commerce is gradually becoming one of the main ways of trade. The smart operation of …
Image recognition technology based on machine learning
L Liu, Y Wang, W Chi - IEEE Access, 2020 - ieeexplore.ieee.org
With the development of machine learning for decades, there are still many problems
unsolved, such as image recognition and location detection, image classification, image …
unsolved, such as image recognition and location detection, image classification, image …
Low-cost sensors for urban noise monitoring networks—A literature review
Noise pollution reduction in the environment is a major challenge from a societal and health
point of view. To implement strategies to improve sound environments, experts need …
point of view. To implement strategies to improve sound environments, experts need …
Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
A Somasundaram, S Reddy - Neural Computing and Applications, 2019 - Springer
Real-time fraud detection in credit card transactions is challenging due to the intrinsic
properties of transaction data, namely data imbalance, noise, borderline entities and …
properties of transaction data, namely data imbalance, noise, borderline entities and …