An intelligent fire warning application using IoT and an adaptive neuro-fuzzy inference system
In the recent past, a few fire warning and alarm systems have been presented based on a
combination of a smoke sensor and an alarm device to design a life-safety system. However …
combination of a smoke sensor and an alarm device to design a life-safety system. However …
Energy and exergy analysis of vapor compression refrigeration system with low-Gwp refrigerants
In this paper, a first-and second-law analysis of vapor compression refrigeration is presented
to estimate and propose the replacement of R134 with working fluids having less global …
to estimate and propose the replacement of R134 with working fluids having less global …
A novel online prediction method for vehicle cabin temperature and passenger thermal sensation
C Zhang, B Hou, M Li, Z Chen, R Zhang, S Li… - Applied Thermal …, 2024 - Elsevier
Vehicle cabin temperature and passenger thermal sensation are essential indicators for the
vehicle thermal management system. However, the temperature distribution in the vehicle …
vehicle thermal management system. However, the temperature distribution in the vehicle …
Modeling for vehicle cabin temperature prediction based on graph spatial-temporal neural network in air conditioning system
X He, Y Wang, F Guo, X Zhang, X Duan, J Pei - Energy and Buildings, 2022 - Elsevier
The vehicle HVAC (heating, ventilating, and air conditioning) system aims to keep
passengers thermal comfort and reduce energy consumption. One effective measure is to …
passengers thermal comfort and reduce energy consumption. One effective measure is to …
Research on the thermal comfort of passenger compartment based on the PMV/PPD
W Huo, Y Cheng, Y Jia, C Guo - International Journal of Thermal Sciences, 2023 - Elsevier
With the increasing requirements of consumers for vehicle performance, the thermal comfort
has become a key index of consumers. The thermal environment inside the passenger …
has become a key index of consumers. The thermal environment inside the passenger …
Application of support vector regression cooperated with modified artificial fish swarm algorithm for wind tunnel performance prediction of automotive radiators
W Yan, M Li, X Pan, G Wu, L Liu - Applied Thermal Engineering, 2020 - Elsevier
As an important part of automotive thermal management system, finned-tube heat
exchangers (FTHEs) are widely used as automotive radiators because of the compact …
exchangers (FTHEs) are widely used as automotive radiators because of the compact …
Design and prediction method of dual working medium solar energy drying system
W Hao, H Zhang, S Liu, Y Lai - Applied Thermal Engineering, 2021 - Elsevier
The design method of dual working medium solar energy drying system is proposed in this
study. The operation control strategy of system is given. In order to obtain the drying …
study. The operation control strategy of system is given. In order to obtain the drying …
Predictive modelling with machine learning of garlic clove for novel designed solar drying system
The design method of dual working medium, heat exchanger-evacuated tube assisted
drying system is proposed in this work. Operation control method of solar drying system is …
drying system is proposed in this work. Operation control method of solar drying system is …
Performance enhancement of commercial ethylene oxide reactor by artificial intelligence approach
The present work emphasizes the development of a generic methodology that addresses
the core issue of any running chemical plant, ie, how to maintain a delicate balance between …
the core issue of any running chemical plant, ie, how to maintain a delicate balance between …
Low global warming potential R1234yf in a mobile air-conditioning system: a study on performance prediction using different machine learning approaches
Abstract Machine learning (ML) approaches have admirable potential to forecast the
performance of the mobile air-conditioning (MAC) system with low global warming potential …
performance of the mobile air-conditioning (MAC) system with low global warming potential …