AIMC Topic: Temperature

Clear Filters Showing 231 to 240 of 500 articles

Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): an artificial neural network approach based on different combinations of meteorological data.

Environmental monitoring and assessment Feb 3, 2022
Accurate prediction of the reference evapotranspiration (ET) is vital for estimating the crop water requirements precisely. In this study, we developed multi-layer perceptron artificial neural network (MLP-ANN) models considering different combinatio...
Temperature Wind Neural Networks, Computer Crops, Agricultural Meteorology Plant Transpiration India Environmental Monitoring
View on PubMed DOI

The effects of temperature on the dynamics of the biological neural network.

Journal of biological physics Jan 21, 2022
The nerve cells are responsible for transmitting messages through the action potential, which generates electrical stimulation. One of the methods and tools of electrical stimulation is infrared neural stimulation (INS). Since the mechanism of INS is...
Neural Networks, Computer Models, Neurological Action Potentials Temperature Neurons
View on PubMed DOI

Bimodal Tactile Sensor without Signal Fusion for User-Interactive Applications.

ACS nano Jan 21, 2022
Tactile sensors with multimode sensing ability are cornerstones of artificial skin for applications in humanoid robotics and smart prosthetics. However, the intuitive and interference-free reading of multiple tactile signals without involving complex...
Touch Prostheses and Implants Electronics Temperature Robotics
View on PubMed DOI

Fully automated measurement system for temperature-dependent X-ray total scattering at beamline BL04B2 at SPring-8.

Journal of synchrotron radiation Jan 18, 2022
Data-driven approaches in materials science demand the collection of large amounts of data on the target materials at synchrotron beamlines. To accurately gather suitable experimental data, it is essential to establish fully automated measurement sys...
Synchrotrons Robotics X-Rays Temperature SARS-CoV-2 Humans Pandemics COVID-19
View on PubMed DOI

Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms.

Scientific reports Jan 17, 2022
Diseases caused by the fungus Sclerotinia sclerotiorum are managed mainly through fungicide applications in canola and dry bean. Accurate estimation of the risk of disease development on these crops could help farmers make spraying decisions. Five ma...
Neural Networks, Computer Machine Learning Brassica napus Fungicides, Industrial Fabaceae Plant Diseases Ascomycota Agriculture Crops, Agricultural Logistic Models Temperature Risk Assessment
View on PubMed DOI

Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment.

Sensors (Basel, Switzerland) Jan 13, 2022
The environmental microclimatic characteristics are often subject to fluctuations of considerable importance, which can cause irreparable damage to art works. We explored the applicability of Artificial Intelligence (AI) techniques to the Cultural He...
Temperature Museums Microclimate Artificial Intelligence Forecasting Neural Networks, Computer
View on PubMed DOI

Temporal Prediction of Paralytic Shellfish Toxins in the Mussel Using a LSTM Neural Network Model from Environmental Data.

Toxins Jan 12, 2022
Paralytic shellfish toxins (PSTs) are produced mainly by (formerly ). Since 2000, the National Institute of Fisheries Science (NIFS) has been providing information on PST outbreaks in Korean coastal waters at one- or two-week intervals. However, a d...
Environmental Monitoring Marine Toxins Time Factors Models, Theoretical Tidal Waves Salinity Mytilus Republic of Korea Temperature Animals Water Neural Networks, Computer
View on PubMed DOI

An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis.

Frontiers in public health Jan 12, 2022
Aiming to increase the shelf life of food, researchers are moving toward new methodologies to maintain the quality of food as food grains are susceptible to spoilage due to precipitation, humidity, temperature, and a variety of other influences. As a...
Food Microbiology Artificial Intelligence Temperature
View on PubMed DOI

Advanced Recovery and High-Sensitive Properties of Memristor-Based Gas Sensor Devices Operated at Room Temperature.

ACS sensors Nov 16, 2021
Fast recovery, high sensitivity, high selectivity, and room temperature (RT) sensing characteristics of NO gas sensors are essential for environmental monitoring, artificial intelligence, and inflammatory diagnosis of asthma patients. However, the co...
Artificial Intelligence Humans Semiconductors Temperature Gases
View on PubMed DOI

Application of Artificial Neural Network Based on Traditional Detection and GC-MS in Prediction of Free Radicals in Thermal Oxidation of Vegetable Oil.

Molecules (Basel, Switzerland) Nov 6, 2021
In this study, electron paramagnetic resonance (EPR) and gas chromatography-mass spectrometry (GC-MS) techniques were applied to reveal the variation of lipid free radicals and oxidized volatile products of four oils in the thermal process. The EPR r...
Plant Oils Oxidation-Reduction Neural Networks, Computer Temperature Gas Chromatography-Mass Spectrometry Free Radicals
View on PubMed DOI
Popular Topics
Recent Journals