Deep learning on multi-view sequential data: a survey

Z **e, Y Yang, Y Zhang, J Wang, S Du - Artificial Intelligence Review, 2023 - Springer
With the progress of human daily interaction activities and the development of industrial
society, a large amount of media data and sensor data become accessible. Humans collect …

An Edge Transfer Learning Approach for Calibrating Soil Electrical Conductivity Sensors

YW Lin, YB Lin, TCY Chang, BX Lu - Sensors, 2023 - mdpi.com
Smart agriculture utilizes Internet of Things (IoT) technologies to enable low-cost electrical
conductivity (EC) sensors to support farming intelligence. Due to aging and changes in …

A self-calibration algorithm for soil moisture sensors using deep learning

DA Aranda Britez, A Tapia, P Millán Gata - Applied Intelligence, 2025 - Springer
In the current era of smart agriculture, accurately measuring soil moisture has become
crucial for optimising irrigation systems, significantly improving water use efficiency and crop …

Extreme Learning Machines for Calibration and Prediction in Wireless Sensor Networks: Advancing Environmental Monitoring Efficiency

A Yar, S Henna, M McAfee… - 2023 31st Irish …, 2023 - ieeexplore.ieee.org
Calibrating wireless sensor network deployments, especially in uncontrolled environments,
poses a significant challenge. Existing deep learning approaches for calibration perform …

[PDF][PDF] ANOMALY DETECTION ON LOW-COST AIR QUALITY SENSORS USING CNN PREDICTION

C WILSON - arno.uvt.nl
The monitoring of air quality is of vital importance. With new local emissions emerging, from
wood burning for heating, local measurements are needed. Due to the cost of high-quality …