AIMC Topic: Heating

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Waste-to-energy as a tool of circular economy: Prediction of higher heating value of biomass by artificial neural network (ANN) and multivariate linear regression (MLR).

Waste management (New York, N.Y.) Sep 26, 2022
Circular economy is a global trend as a promising strategy for the sustainable use of natural resources. In this context, waste-to-energy presents an effective solution to respond to the ever-increasing waste generation and energy demand duality. How...
Linear Models Heating Physical Phenomena Neural Networks, Computer Biomass
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Improved Harris Hawks Optimization with Hybrid Deep Learning Based Heating and Cooling Load Prediction on residential buildings.

Chemosphere Sep 19, 2022
In digital era, energy efficient building remains a hot research topic because of increasing concern regarding their environmental impact and energy consumption. Designing a suitable energy efficient building based on their layout namely overall area...
Heating Falconiformes Quality of Life Deep Learning Neural Networks, Computer Animals
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Multi-Degree-of-Freedom Robots Powered and Controlled by Microwaves.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 19, 2022
Microwaves have become a promising wireless driving strategy due to the advantages of transmissivity through obstacles, fast energy targeting, and selective heating. Although there are some studies on microwave powered artificial muscles based on dif...
Magnetic Fields Muscles Heating Microwaves Robotics
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Hybrid Random Forest and Support Vector Machine Modeling for HVAC Fault Detection and Diagnosis.

Sensors (Basel, Switzerland) Dec 7, 2021
The malfunctioning of the heating, ventilating, and air conditioning (HVAC) system is considered to be one of the main challenges in modern buildings. Due to the complexity of the building management system (BMS) with operational data input from a la...
Models, Statistical Heating Machine Learning Support Vector Machine Air Conditioning
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Exploring the Predictability of Temperatures in a Scaled Model of a Smarthome.

Sensors (Basel, Switzerland) Sep 9, 2021
In modern smarthomes, temperature regulation is achieved through a mix of traditional and emergent technologies including air conditioning, heating, intelligent utilization of the effects of sun, wind, and shade as well as using stored heat and cold....
Heating Air Conditioning Algorithms Temperature Machine Learning
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Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm.

PloS one Sep 2, 2021
The study is aimed at the frosting problem of the air source heat pump in the low temperature and high humidity environment, which reduces the service life of the system. First, the frosting characteristics at the evaporator side of the air source he...
Humidity Electrical Equipment and Supplies Heating Neural Networks, Computer Freezing Machine Learning Water Hot Temperature Computer Simulation Models, Theoretical Air
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The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

Sensors (Basel, Switzerland) Jun 18, 2021
In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution tha...
Reproducibility of Results Spacecraft Heating Neural Networks, Computer Temperature
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Machine learning algorithms applied to a prediction of personal overall thermal comfort using skin temperatures and occupants' heating behavior.

Applied ergonomics Feb 19, 2020
Thermal comfort modeling has been of interest in built environment research for decades. Mostly the modeling approaches focused on an average response of a large group of building occupants. Recently, the focus has been shifted towards personal comfo...
Heating Humans Machine Learning Skin Temperature Adult Algorithms Thermosensing Female
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Data-Driven Living Spaces' Heating Dynamics Modeling in Smart Buildings using Machine Learning-Based Identification.

Sensors (Basel, Switzerland) Feb 16, 2020
Modeling and control of the heating feature of living spaces remain challenging tasks because of the intrinsic nonlinear nature of the involved processes as well as the strong nonlinearity of the entailed dynamic parameters in those processes. Althou...
Socioeconomic Factors Construction Industry Heating Humans Machine Learning
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Micelle-dominated distribution strategy for non-matrix matched calibration without an internal standard: "Extract-and-shoot" approach for analyzing hydrophilic targets in blood and cell samples.

Analytica chimica acta Dec 17, 2019
The analysis of trace hydrophilic targets in complex aqueous-rich matrices is considerably challenging, generally requiring matrix-matched calibration, internal standard, or time-and-labor-intensive sample preparation. To address this analytical bott...
Glutathione Micelles Diquat Humans Heating Hydrophobic and Hydrophilic Interactions Paraquat Limit of Detection Ultrasonic Waves Chromatography, Reverse-Phase
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