AIMC Topic: Temperature

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Forecasting Air Temperature on Edge Devices with Embedded AI.

Sensors (Basel, Switzerland) Jun 9, 2021
With the advent of the Smart Agriculture, the joint utilization of Internet of Things (IoT) and Machine Learning (ML) holds the promise to significantly improve agricultural production and sustainability. In this paper, the design of a Neural Network...
Forecasting Neural Networks, Computer Temperature Machine Learning
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Evaluation of multilayer perceptron neural networks and adaptive neuro-fuzzy inference systems for the mass transfer modeling of Echium amoenum Fisch. & C. A. Mey.

Journal of the science of food and agriculture Jun 4, 2021
BACKGROUND: Multilayer perceptron (MLP) feed-forward artificial neural networks (ANN) and first-order Takagi-Sugeno-type adaptive neuro-fuzzy inference systems (ANFIS) are utilized to model the fluidized bed-drying process of Echium amoenum Fisch. & ...
Neural Networks, Computer Temperature Food Preservation Desiccation Echium Water Fuzzy Logic
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Deep Learning of Binary Solution Phase Behavior of Polystyrene.

ACS macro letters May 31, 2021
Predicting binary solution phase behavior of polymers has remained a challenge since the early theory of Flory-Huggins, hindering the processing, synthesis, and design of polymeric materials. Herein, we take a complementary data-driven approach by bu...
Polystyrenes Polymers Temperature Macromolecular Substances Deep Learning
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Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival database.

Scientific reports May 19, 2021
In predictive microbiology, statistical models are employed to predict bacterial population behavior in food using environmental factors such as temperature, pH, and water activity. As the amount and complexity of data increase, handling all data wit...
Temperature Microbial Viability Machine Learning Models, Biological Hydrogen-Ion Concentration Colony Count, Microbial Food Microbiology Listeria monocytogenes Databases as Topic
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Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature-Driven Microphase Dynamics in the Ions/Water System.

Small (Weinheim an der Bergstrasse, Germany) May 3, 2021
Real-time field-emission scanning electron microscopy (FE-SEM) measurements and neural network analysis were successfully merged to observe the temperature-induced behavior of soft liquid microdomains in mixtures of different ionic liquids with water...
Ions Temperature Microscopy, Electron, Scanning Neural Networks, Computer Water
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RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system.

PloS one Apr 8, 2021
The energy demand in the world has increased rapidly in the last few decades. This demand is arising the need for alternative energy resources. Solar energy is the most eminent energy resource which is completely free from pollution and fuel. However...
Solar Energy Sunlight Temperature Equipment Design Electric Power Supplies Neural Networks, Computer Algorithms Computer Simulation
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FragNet, a Contrastive Learning-Based Transformer Model for Clustering, Interpreting, Visualizing, and Navigating Chemical Space.

Molecules (Basel, Switzerland) Apr 3, 2021
The question of molecular similarity is core in cheminformatics and is usually assessed via a comparison based on vectors of properties or molecular fingerprints. We recently exploited variational autoencoders to embed 6M molecules in a chemical spa...
Learning Curve Cluster Analysis Clozapine Floxacillin Cheminformatics Temperature Deep Learning Software
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Generalizability of machine learning models and empirical equations for the estimation of reference evapotranspiration from temperature in a semiarid region.

Anais da Academia Brasileira de Ciencias Mar 26, 2021
The Penman-Monteith equation is recommended for the estimation of reference evapotranspiration (ETo). However, it requires meteorological data that are commonly unavailable. Thus, this study evaluates artificial neural network (ANN), multivariate ada...
Neural Networks, Computer Machine Learning Temperature Weather
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Machine learning to determine optimal conditions for controlling the size of elastin-based particles.

Scientific reports Mar 18, 2021
This paper evaluates the aggregation behavior of a potential drug and gene delivery system that combines branched polyethyleneimine (PEI), a positively-charged polyelectrolyte, and elastin-like polypeptide (ELP), a recombinant polymer that exhibits l...
Elementary Particles Humans Machine Learning Temperature Transition Temperature Hydrodynamics Phase Transition Elastin Gene Transfer Techniques Drug Delivery Systems Peptides Hydrophobic and Hydrophilic Interactions Cold Temperature
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Modeling of photolytic degradation of sulfamethoxazole using boosted regression tree (BRT), artificial neural network (ANN) and response surface methodology (RSM); energy consumption and intermediates study.

Chemosphere Mar 6, 2021
This study explores the boosted regression trees (BRT), artificial neural network (ANN) and response surface methodology (RSM) to model and optimize the operational variables for the simulation of the Photolytic degradation of Sulfamethoxazole (SMX) ...
Sulfamethoxazole Temperature Photolysis Neural Networks, Computer Computer Simulation
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