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A review on machine learning forecasting growth trends and their real-time applications in different energy systems
T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …
policy formulation. The forecasting model selection mostly based on the availability of the …
3D spatial measurement for model reconstruction: A review
The measurement of 3D spatial coordinates for model reconstruction through artificial
machine vision systems based on optical sensors and the corresponding signal processing …
machine vision systems based on optical sensors and the corresponding signal processing …
The algorithm of stereo vision and shape from shading based on endoscope imaging
With medical endoscopic equipment development, minimally invasive surgery (MIS) has
gradually become an essential technical means in daily medical practice. In recent years …
gradually become an essential technical means in daily medical practice. In recent years …
3D optical machine vision sensors with intelligent data management for robotic swarm navigation improvement
The optimized communication within robotic swarm, or group (RG) in a tightly obstacled
ambient is crucial point to optimize group navigation for efficient sector trespass and …
ambient is crucial point to optimize group navigation for efficient sector trespass and …
Energy consumption prediction of air-conditioning systems in eco-buildings using hunger games search optimization-based artificial neural network model
The energy consumption of the heating, ventilation, and air-conditioning systems is a big
concern of energy-efficient buildings in smart cities, especially for cooling and heating loads …
concern of energy-efficient buildings in smart cities, especially for cooling and heating loads …
A modified Levenberg–Marquardt algorithm for simultaneous estimation of multi-parameters of boundary heat flux by solving transient nonlinear inverse heat …
M Cui, K Yang, X Xu, S Wang, X Gao - … Journal of Heat and Mass Transfer, 2016 - Elsevier
Despite numerous studies of Levenberg–Marquardt (LM) algorithms for solving inverse heat
conduction problems, sensitivity coefficients are mainly evaluated by numerical …
conduction problems, sensitivity coefficients are mainly evaluated by numerical …
A novel camera calibration method based on circle projection model
L Yang, F Zhou, W Zhang, Y Liu - Measurement, 2023 - Elsevier
Camera calibration is one of the important factors affecting measurement accuracy in the
field of visual measurement, and the camera calibration method with high precision and …
field of visual measurement, and the camera calibration method with high precision and …
Optical 3D laser measurement system for navigation of autonomous mobile robot
In our current research, we are develo** a practical autonomous mobile robot navigation
system which is capable of performing obstacle avoiding task on an unknown environment …
system which is capable of performing obstacle avoiding task on an unknown environment …
A new approach for determining dam** factors in Levenberg-Marquardt algorithm for solving an inverse heat conduction problem
M Cui, Y Zhao, B Xu, X Gao - International Journal of Heat and Mass …, 2017 - Elsevier
Dam** factor is a key parameter in Levenberg-Marquardt algorithm for solving inverse
problems, which significantly affects the efficiency and the convergence stability of …
problems, which significantly affects the efficiency and the convergence stability of …
Deep recurrent entropy adaptive model for system reliability monitoring
The aim of this article is to develop a methodology for measuring the degree of
unpredictability in dynamical systems with memory, ie, systems with responses dependent …
unpredictability in dynamical systems with memory, ie, systems with responses dependent …