[HTML][HTML] Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends
Aquaculture produces nearly half of the seafood consumed by the ever-growing world
population. There have been attempts to adopt novel technologies into the industry to …
population. There have been attempts to adopt novel technologies into the industry to …
Calibrating low-cost sensors for ambient air monitoring: Techniques, trends, and challenges
L Liang - Environmental Research, 2021 - Elsevier
Low-cost sensors (LCSs) are widely acknowledged for bringing a paradigm shift in
supplemental traditional air monitoring by air regulatory agencies. However, there is …
supplemental traditional air monitoring by air regulatory agencies. However, there is …
State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries
To ensure the secure and healthy usage of lithium-ion batteries, it is necessary to accurately
estimate the state of charge (SOC) in battery management systems. The development of …
estimate the state of charge (SOC) in battery management systems. The development of …
LoRa based intelligent soil and weather condition monitoring with internet of things for precision agriculture in smart cities
Urbanization is expected to hold about 50% of the world population by 2050 and there will
be stress on available resources including food and freshwater. Further, inefficient utilization …
be stress on available resources including food and freshwater. Further, inefficient utilization …
[HTML][HTML] Disturbed-entropy: A simple data quality assessment approach
From the perspective of information value, we proposed a simple and effective approach to
assess data quality, called disturbed-entropy. In specific, considering image classification …
assess data quality, called disturbed-entropy. In specific, considering image classification …
A survey on deep learning for challenged networks: Applications and trends
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
of data produced by all sorts of network nodes. Performance improvements are a non-stop …
Data quality management in the internet of things
L Zhang, D Jeong, S Lee - Sensors, 2021 - mdpi.com
Nowadays, IoT is being used in more and more application areas and the importance of IoT
data quality is widely recognized by practitioners and researchers. The requirements for …
data quality is widely recognized by practitioners and researchers. The requirements for …
Data quality challenges in large-scale cyber-physical systems: A systematic review
Cyber-physical systems (CPSs) are integrated systems engineered to combine
computational control algorithms and physical components such as sensors and actuators …
computational control algorithms and physical components such as sensors and actuators …
[HTML][HTML] Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT)
NA Ubina, HY Lan, SC Cheng, CC Chang… - Smart Agricultural …, 2023 - Elsevier
This paper focuses on designing a Digital Twin infrastructure that supports an agile-based
Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in …
Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in …
Missing data imputation on IoT sensor networks: Implications for on-site sensor calibration
NU Okafor, DT Delaney - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
IoT sensors are becoming increasingly important supplement to traditional monitoring
systems, particularly for in-situ based monitoring. Data collected using IoT sensors are often …
systems, particularly for in-situ based monitoring. Data collected using IoT sensors are often …