AIMC Topic: Humidity
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A modified artificial neural network based prediction technique for tropospheric radio refractivity.
PloS one
Mar 1, 2018
Radio refractivity plays a significant role in the development and design of radio systems for attaining the best level of performance. Refractivity in the troposphere is one of the features affecting electromagnetic waves, and hence the communicatio...
Assessing the impact of PM on respiratory disease using artificial neural networks.
Environmental pollution (Barking, Essex : 1987)
Jan 5, 2018
Understanding the impact on human health during peak episodes in air pollution is invaluable for policymakers. Particles less than PM can penetrate the respiratory system, causing cardiopulmonary and other systemic diseases. Statistical regression mo...
Prediction of Short-Distance Aerial Movement of Phakopsora pachyrhizi Urediniospores Using Machine Learning.
Phytopathology
Sep 6, 2017
Dispersal of urediniospores by wind is the primary means of spread for Phakopsora pachyrhizi, the cause of soybean rust. Our research focused on the short-distance movement of urediniospores from within the soybean canopy and up to 61 m from field-gr...
Fuzzy comprehensive evaluation of multiple environmental factors for swine building assessment and control.
Journal of hazardous materials
Jul 12, 2017
In confined swine buildings, temperature, humidity, and air quality are all important for animal health and productivity. However, the current swine building environmental control is only based on temperature; and evaluation and control methods based...
A Fuzzy mathematical model to estimate the effects of global warming on the vitality of Laelia purpurata orchids.
Mathematical biosciences
Mar 18, 2017
This study aimed to develop a fuzzy mathematical model to estimate the impacts of global warming on the vitality of Laelia purpurata growing in different Brazilian environmental conditions. In order to develop the mathematical model was considered as...
A plant-inspired robot with soft differential bending capabilities.
Bioinspiration & biomimetics
Dec 20, 2016
We present the design and development of a plant-inspired robot, named Plantoid, with sensorized robotic roots. Natural roots have a multi-sensing capability and show a soft bending behaviour to follow or escape from various environmental parameters ...
A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system.
Journal of hazardous materials
Dec 6, 2016
Ammonia (NH) is considered one of the significant pollutions contributor to indoor air quality and odor gas emission from swine house because of the negative impact on the health of pigs, the workers and local environment. Prediction models could pro...
Approximate analytical solutions to the double-stance dynamics of the lossy spring-loaded inverted pendulum.
Bioinspiration & biomimetics
Dec 5, 2016
This paper introduces approximate time-domain solutions to the otherwise non-integrable double-stance dynamics of the 'bipedal' spring-loaded inverted pendulum (B-SLIP) in the presence of non-negligible damping. We first introduce an auxiliary system...
Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks.
Anais da Academia Brasileira de Ciencias
Aug 15, 2016
The study of radiation entrance and exit dynamics and energy consumption in a system is important for understanding the environmental processes that rule the biosphere-atmosphere interactions of all ecosystems. This study provides an analysis of the ...
Bio-inspired, Moisture-Powered Hybrid Carbon Nanotube Yarn Muscles.
Scientific reports
Mar 14, 2016
Hygromorph artificial muscles are attractive as self-powered actuators driven by moisture from the ambient environment. Previously reported hygromorph muscles have been largely limited to bending or torsional motions or as tensile actuators with low ...
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