State of the art on quality control for data streams: A systematic literature review

M Mirzaie, B Behkamal, M Allahbakhsh… - Computer Science …, 2023 - Elsevier
These days, endless streams of data are generated by various sources such as sensors,
applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors …

Multi-channel assessment policies for energy-efficient data transmission in wireless underground sensor networks

R Soundararajan, PM Stanislaus, SG Ramasamy… - Energies, 2023 - mdpi.com
Wireless Underground Sensor Networks (WUGSNs) transmit data collected from
underground objects such as water substances, oil substances, soil contents, and others. In …

A new data-preprocessing-related taxonomy of sensors for iot applications

PD Rosero-Montalvo, VF López-Batista… - Information, 2022 - mdpi.com
IoT devices play a fundamental role in the machine learning (ML) application pipeline, as
they collect rich data for model training using sensors. However, this process can be affected …

[HTML][HTML] Enhancing data transmission efficiency in wireless sensor networks through machine learning-enabled energy optimization: A grouping model approach

I Surenther, KP Sridhar, MK Roberts - Ain Shams Engineering Journal, 2024 - Elsevier
Abstract Wireless Sensor Networks (WSNs) which plays a crucial role in data transmission in
today's digital era faces various types of research challenges due to limited energy …

[PDF][PDF] A Literature Review on Outlier Detection in Wireless Sensor Networks

JC García, LA Rivera, J Perez - Journal of Advances in Information …, 2024 - jait.us
Wireless sensor networks have become an important element of technologies such as the
Internet of Things due to their ability to obtain sensory data from the physical world in …

A microscopic platoon stability model using vehicle-to-vehicle communication

M Ahmad, Z Khan, A Koubaa, W Boulila - Electronics, 2022 - mdpi.com
With Vehicle-to-Vehicle (V2V) communication capability, vehicle platoon on the highway
helps to reduce traffic congestion. However, the dynamic nature of vehicles imposes …

Enhancing Fault Detection in Wireless Sensor Networks Through Support Vector Machines: A Comprehensive Study

Y Mardenov, A Adamova, T Zhukabayeva… - Journal of Robotics …, 2023 - journal.umy.ac.id
Abstract The Wireless Sensor Network (WSN) consists of many sensors that are distributed
in a specific area for the purpose of monitoring physical conditions. Factors such as …

Geospatial detection of Ommatissus lybicus de Bergevin using spatial and machine learning techniques

KM Al-Kindi, Z Alabri, M Al-Farsi - Remote Sensing Applications: Society …, 2022 - Elsevier
Dubas bug (Ommatissus lybicus de Bergevin) infestations are frequent in several Middle
Eastern and North African countries, causing havoc to date palms. The key objectives of this …

Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks

A Adamova, T Zhukabayeva… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In a wireless sensor network (WSN), the presence of faulty nodes can cause serious
problems such as data loss, reduced network life, and reduced accuracy of collected data …

Analysis of deep learning models for anomaly detection in time series IoT sensor data

U Sachdeva, PR Vamsi - Proceedings of the 2022 Fourteenth …, 2022 - dl.acm.org
The anomaly detection in Internet of Things (IoT) sensor data has become an important
research area because of the possibility of noise and unavailability of labels in the sensors …