AIMC Topic:
Environmental Monitoring
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A system of coordinated autonomous robots for Lagrangian studies of microbes in the oceanic deep chlorophyll maximum.
Science robotics
Jan 13, 2021
The deep chlorophyll maximum (DCM) layer is an ecologically important feature of the open ocean. The DCM cannot be observed using aerial or satellite remote sensing; thus, in situ observations are essential. Further, understanding the responses of mi...
Machine learning prediction on number of patients due to conjunctivitis based on air pollutants: a preliminary study.
European review for medical and pharmacological sciences
Oct 1, 2020
OBJECTIVE: A prediction of the number of patients with conjunctivitis plays an important role in providing adequate treatment at the hospital, but such accurate predictive model currently does not exist. The current study sought to use machine learni...
A virus precipitation method for concentration & detection of avian influenza viruses from environmental water resources & its possible application in outbreak investigations.
The Indian journal of medical research
Dec 1, 2019
BACKGROUND & OBJECTIVES: Avian influenza (AI) viruses have been a major cause of public health concern. Wild migratory birds and contaminated environmental sources such as waterbodies soiled with bird droppings play a significant role in the transmis...
Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.
Mathematical biosciences and engineering : MBE
Sep 26, 2019
Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most important public facilities that are prone to be attacked because of its wide coverage and constant ope...
Performance of ANN, SVM and MLH techniques for land use/cover change detection at Sultan Marshes wetland, Turkey.
Water science and technology : a journal of the International Association on Water Pollution Research
Aug 1, 2019
Wetlands are among the most productive ecosystems that provide services ranging from flood control to climate change mitigation. Wetlands are also critical habitats for the survival of numerous plant and animal species. In this study, we used satelli...
Automated Classification of Airborne Pollen using Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Pollen allergies are considered as a global epidemic nowadays, as they influence more than a quarter of the worldwide population, with this percentage expected to rapidly increase because of ongoing climate change. To date, alerts on high-risk allerg...
These scientists are setting a forest on fire - and studying it with drones.
Nature
May 1, 2019
How AI and satellites could help predict volcanic eruptions.
Nature
Mar 1, 2019
AI empowers conservation biology.
Nature
Mar 1, 2019
Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks.
Journal of water and health
Feb 1, 2019
Predicting recreational water quality is key to protecting public health from exposure to wastewater-associated pathogens. It is not feasible to monitor recreational waters for all pathogens; therefore, monitoring programs use fecal indicator bacteri...
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