AIMC Topic: Temperature

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Measurement and Processing of Thermographic Data of Passing Persons for Epidemiological Purposes.

Sensors (Basel, Switzerland) Mar 8, 2023
Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and minimal possibility of spreading infection. The use of infrared (IR) sensors to monitor building entranc...
Artificial Intelligence COVID-19 Humans Infrared Rays Body Temperature Thermography Temperature
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Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm.

Bioresource technology Feb 24, 2023
The main aim of the present study was to establish a relationship model between bio-hydrogen yield and the key operating parameters affecting photo-fermentation hydrogen production (PFHP) from co-substrates. Central composite design-response surface ...
Fermentation Hydrogen Temperature Neural Networks, Computer
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Data-driven prediction of greenhouse aquaponics air temperature based on adaptive time pattern network.

Environmental science and pollution research international Feb 10, 2023
Greenhouse aquaponics system (GHAP) improves productivity by harmonizing internal environments. Keeping a suitable air temperature of GHAP is essential for the growth of plant and fish. However, the disturbance of various environmental factors and th...
Forecasting Temperature Neural Networks, Computer Time Factors
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The assessment of response surface methodology (RSM) and artificial neural network (ANN) modeling in dry flue gas desulfurization at low temperatures.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Feb 9, 2023
The performance of a flue gas desulfurization (FGD) system is characterized by SO removal efficiency () and reagent conversion (). Achieving a near-perfect reaction environment has been of concern in dry FGD (DFGD) due to the low reactivity compared ...
Temperature Neural Networks, Computer Algorithms
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Prediction of cooling effect of constant temperature community bin based on BP neural network.

International journal of biometeorology Feb 7, 2023
In order to explore the influence of outdoor microclimate on the cooling effect of constant temperature community bin, the temperature prediction model was predicted. The temperature and microclimate data sets of the community bin were collected in s...
Seasons Microclimate Cold Temperature Temperature Neural Networks, Computer
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Prediction of human thermal comfort preference based on supervised learning.

Journal of thermal biology Jan 25, 2023
Human thermal comfort is relevant to human life comfort and plays a pivotal role in occupational health and thermal safety. To ensure that intelligent temperature-controlled equipment can deliver a sense of cosiness to people while improving its ener...
Supervised Machine Learning Humans Thermosensing Temperature Computer Simulation
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Explainable deep learning for insights in El Niño and river flows.

Nature communications Jan 20, 2023
The El Niño Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (SST) over the tropical central and eastern Pacific Ocean that influences interannual variability in regional hydrology across the world through long-ra...
Deep Learning Pacific Ocean Rivers Temperature El Nino-Southern Oscillation
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Uncertainty and sensitivity analysis of deep learning models for diurnal temperature range (DTR) forecasting over five Indian cities.

Environmental monitoring and assessment Jan 12, 2023
In this article, the maximum and minimum daily temperature data for Indian cities were tested, together with the predicted diurnal temperature range (DTR) for monthly time horizons. RClimDex, a user interface for extreme computing indices, was used t...
Cities Forecasting Temperature Deep Learning Uncertainty Environmental Monitoring
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Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems.

Sensors (Basel, Switzerland) Jan 11, 2023
High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. However, due to the small changes and erratic fluctuations in environmental parameters in the initial combustion phase, it is always a challenging task...
Neural Networks, Computer Fires Least-Squares Analysis Temperature Support Vector Machine Algorithms
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The Development of an Energy Efficient Temperature Controller for Residential Use and Its Generalization Based on LSTM.

Sensors (Basel, Switzerland) Jan 1, 2023
Thermostats operate alongside intelligent home automation systems for ensuring both the comfort of the occupants as well as the responsible use of energy. The effectiveness of such solutions relies on the ability of the adopted control methodology to...
Hot Temperature Temperature Conservation of Energy Resources Automation Neural Networks, Computer
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