AIMC Topic: Temperature

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Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India.

Environmental science and pollution research international May 21, 2022
Prediction of soil temperature (ST) at multiple depths is important for maintaining the physical, chemical, and biological activities in soil for various scientific aspects. The present study was conducted in a semi-arid region of Punjab to predict t...
Machine Learning Algorithms Neural Networks, Computer Temperature Soil
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ECMWF short-term prediction accuracy improvement by deep learning.

Scientific reports May 12, 2022
This paper aims to describe and evaluate the proposed calibration model based on a neural network for post-processing of two essential meteorological parameters, namely near-surface air temperature (2 m) and 24 h accumulated precipitation. The main i...
Forecasting Temperature Meteorology Deep Learning Weather
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Prediction of MODIS land surface temperature using new hybrid models based on spatial interpolation techniques and deep learning models.

Environmental science and pollution research international May 6, 2022
Land surface temperature (LST) prediction is of great importance for climate change, ecology, environmental and industrial studies. These studies require accurate LST map predictions considering both spatial and temporal dynamics. In this study, mult...
Temperature Neural Networks, Computer Spatial Analysis Deep Learning Satellite Imagery
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Camera fusion for real-time temperature monitoring of neonates using deep learning.

Medical & biological engineering & computing May 3, 2022
The continuous monitoring of vital signs is a crucial aspect of medical care in neonatal intensive care units. Since cable-based sensors pose a potential risk for the immature skin of preterm infants, unobtrusive monitoring techniques using camera sy...
Temperature Infant Vital Signs Humans Thermography Deep Learning Infant, Newborn Infant, Premature
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Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa.

Journal of global health Apr 23, 2022
BACKGROUND: Knowledge of gestational age is critical for guiding preterm neonatal care. In the last decade, metabolic gestational dating approaches emerged in response to a global health need; because in most of the developing world, accurate antenat...
Gestational Age Dry Ice Pregnancy Tanzania Infant Female Pakistan Machine Learning Infant, Newborn Temperature Humans Technology
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Stretchable Temperature-Responsive Multimodal Neuromorphic Electronic Skin with Spontaneous Synaptic Plasticity Recovery.

ACS nano Apr 22, 2022
Multimodal electronic skin devices capable of detecting multimodal signals provide the possibility for health monitoring. Sensing and memory for temperature and deformation by human skin are of great significance for the perception and monitoring of ...
Electronics Transistors, Electronic Robotics Humans Temperature Wearable Electronic Devices Neuronal Plasticity
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A Model Study on Raw Material Chemical Composition to Predict Sinter Quality Based on GA-RNN.

Computational intelligence and neuroscience Apr 12, 2022
The quality control process for sintered ore is cumbersome and time- and money-consuming. When the assay results come out and the ratios are found to be faulty, the ratios cannot be changed in time, which will produce sintered ore of substandard qual...
Algorithms Temperature Neural Networks, Computer
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Evolution and Neural Network Prediction of CO Emissions in Weaned Piglet Farms.

Sensors (Basel, Switzerland) Apr 11, 2022
This paper aims to study the evolution of CO concentrations and emissions on a conventional farm with weaned piglets between 6.9 and 17.0 kg live weight based on setpoint temperature, outdoor temperature, and ventilation flow. The experimental trial ...
Neural Networks, Computer Temperature Farms Carbon Dioxide Animals Swine
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Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources.

Sensors (Basel, Switzerland) Apr 6, 2022
Many data related problems involve handling multiple data streams of different types at the same time. These problems are both complex and challenging, and researchers often end up using only one modality or combining them via a late fusion based app...
Information Storage and Retrieval Neural Networks, Computer Forecasting Temperature Weather
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Investigation of the Temperature Compensation of Piezoelectric Weigh-In-Motion Sensors Using a Machine Learning Approach.

Sensors (Basel, Switzerland) Mar 20, 2022
Piezoelectric ceramics have good electromechanical coupling characteristics and a high sensitivity to load. One typical engineering application of piezoelectric ceramic is its use as a signal source for Weigh-In-Motion (WIM) systems in road traffic m...
Temperature Motion Machine Learning Algorithms Neural Networks, Computer
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