The role of marine pollution on the emergence of fish bacterial diseases
Marine pollution and bacterial disease outbreaks are two closely related dilemmas that
impact marine fish production from fisheries and mariculture. Oil, heavy metals …
impact marine fish production from fisheries and mariculture. Oil, heavy metals …
AI-driven surveillance of the health and disease status of ocean organisms: a review
AI-driven surveillance has emerged as a transformative approach for monitoring the health
and disease status of ocean organisms. With the increasing availability of data and …
and disease status of ocean organisms. With the increasing availability of data and …
[HTML][HTML] Quartz-enhanced photoacoustic spectroscopy (QEPAS) and Beat Frequency-QEPAS techniques for air pollutants detection: A comparison in terms of …
In this work, a comparison between Quartz Enhanced Photoacoustic Spectroscopy (QEPAS)
and Beat Frequency-QEPAS (BF-QEPAS) techniques for environmental monitoring of …
and Beat Frequency-QEPAS (BF-QEPAS) techniques for environmental monitoring of …
A survey on the design aspects and opportunities in age-aware uav-aided data collection for sensor networks and internet of things applications
Due to the limitations of sensor devices, including short transmission distance and
constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed to …
constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed to …
A unified Bayesian framework for joint estimation and anomaly detection in environmental sensor networks
Advanced large-scale environmental monitoring systems relying on the emerging
aerial/terrestrial technologies of wireless sensor networks (WSNs), unmanned aerial …
aerial/terrestrial technologies of wireless sensor networks (WSNs), unmanned aerial …
[HTML][HTML] Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors
AM Skålvik, C Saetre, KE Frøysa, RN Bjørk… - Frontiers in Marine …, 2023 - frontiersin.org
In this paper we give an overview of factors and limitations impairing deep-sea sensor data,
and we show how automatic tests can give sensors self-validation and self-diagnostic …
and we show how automatic tests can give sensors self-validation and self-diagnostic …
An efficient model-based clustering via joint multiple sink placement for WSNs
Wireless sensor networks consist of many restrictive sensor nodes with limited abilities,
including limited power, low bandwidth and battery, small storage space, and limited …
including limited power, low bandwidth and battery, small storage space, and limited …
Pulse jamming attack detection using swarm intelligence in wireless sensor networks
Abstract A Wireless Sensor Networks consists of small, inexpensive, battery powered
wireless sensors, which self configure and collaborate with each other to support cost …
wireless sensors, which self configure and collaborate with each other to support cost …
Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications-A Survey
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …
An IoT System and MODIS Images Enable Smart Environmental Management for Mekong Delta
VH Phan, DPH Pham, TV Pham, KN Qureshi… - Future Internet, 2023 - mdpi.com
The smart environmental management system proposed in this work offers a new approach
to environmental monitoring by utilizing data from IoT stations and MODIS satellite imagery …
to environmental monitoring by utilizing data from IoT stations and MODIS satellite imagery …