A systematic literature review of IoT time series anomaly detection solutions
The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …
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 …
Internet of Things approaches for monitoring and control of smart greenhouses in Industry 4.0
In recent decades, climate change and a shortage of resources have brought about the
need for technology in agriculture. Farmers have been forced to use information and …
need for technology in agriculture. Farmers have been forced to use information and …
Big data privacy in smart farming: a review
Smart farming aims to improve farming using modern technologies and smart devices. Smart
devices help farmers to collect and analyze data regarding different aspects of their …
devices help farmers to collect and analyze data regarding different aspects of their …
Machine learning techniques for increasing efficiency of the robot's sensor and control information processing
Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
Generative adversarial nets for unsupervised outlier detection
X Du, J Chen, J Yu, S Li, Q Tan - Expert Systems with Applications, 2024 - Elsevier
Outlier detection, also known as anomaly detection, has been a persistent and active
research area for decades due to its wide range of applications in various fields. Many well …
research area for decades due to its wide range of applications in various fields. Many well …
Calibration and comparison of various sensors for soil moisture measurement
The research paper introduces the development of a soil moisture sensor in accordance
with the field condition and has a capacity to measure soil moisture up to 50 cm depth. In this …
with the field condition and has a capacity to measure soil moisture up to 50 cm depth. In this …
Architecture development with measurement index for agriculture decision-making system using internet of things and machine learning
Nowadays, the agriculture decision-making system has become essential for field
monitoring. In that aspect, the Internet of Things (IoT) and Machine Learning (ML) are the …
monitoring. In that aspect, the Internet of Things (IoT) and Machine Learning (ML) are the …
An efficient IoT based crop disease prediction and crop recommendation for precision agriculture
G Sravanthi, NR Moparthi - Cluster Computing, 2024 - Springer
Abstract Internet of Things (IoT) frameworks generates data for large and remote agricultural
areas through sensors and use this data for crop predictions by several machine learning …
areas through sensors and use this data for crop predictions by several machine learning …
Automated fault detection framework for reliable provision of iot applications in agriculture
With the growth of Internet-of-Things (IoT), smart agriculture has become one of the most
compelling IoT applications that supports crop management and better resource utilization …
compelling IoT applications that supports crop management and better resource utilization …