Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
Effective machine learning model combination based on selective ensemble strategy for time series forecasting
The success of ensemble forecasting heavily depends on the selection and combination of
component models as proven by numerous studies that show the superior performance of …
component models as proven by numerous studies that show the superior performance of …
Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India
Background Price forecasting of perishable crop like vegetables has importance
implications to the farmers, traders as well as consumers. Timely and accurate forecast of …
implications to the farmers, traders as well as consumers. Timely and accurate forecast of …
[HTML][HTML] Insights into hot deformation of medium entropy alloys: Softening mechanisms, microstructural evolution, and constitutive modelling—a comprehensive review
The recent discovery of multicomponent principal alloys and the enhanced comprehension
of their physical metallurgy have significantly advanced the understanding of microstructure …
of their physical metallurgy have significantly advanced the understanding of microstructure …
Energy-saving optimization of air-conditioning water system based on data-driven and improved parallel artificial immune system algorithm
S Yang, J Yu, Z Gao, A Zhao - Energy Conversion and Management, 2023 - Elsevier
As the air-conditioning water system is designed according to the maximum load, the system
will deviate from its optimum state while operating under partial load. Therefore, it is critical …
will deviate from its optimum state while operating under partial load. Therefore, it is critical …
A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks
X Wang, H Liu, J Du, X Dong, Z Yang - Applied Soft Computing, 2023 - Elsevier
In multivariate time series forecasting tasks, expanding forecast length and improving
forecast efficiency is an urgent need for practical applications. Accurate long-term …
forecast efficiency is an urgent need for practical applications. Accurate long-term …
A novel multivariate grey model for forecasting periodic oscillation time series
Y Dang, Y Zhang, J Wang - Expert Systems with Applications, 2023 - Elsevier
To solve the problem that the grey multivariate prediction model cannot well simulate
systems with periodic oscillations, a novel multivariate grey model called the GM (1, N| sin) …
systems with periodic oscillations, a novel multivariate grey model called the GM (1, N| sin) …
[HTML][HTML] Predictive and correlational analysis of heating energy consumption in four residential apartments with sensitivity analysis using long Short-Term memory and …
The aim of this study is to explore several approaches to analyze how local weather
conditions, indoor CO 2 levels, and façade opening ratios affect the heating energy usage of …
conditions, indoor CO 2 levels, and façade opening ratios affect the heating energy usage of …
[HTML][HTML] A mathematical framework for improved weight initialization of neural networks using Lagrange multipliers
A good weight initialization is crucial to accelerate the convergence of the weights in a
neural network. However, training a neural network is still time-consuming, despite recent …
neural network. However, training a neural network is still time-consuming, despite recent …
Diagnosing Breast Cancer Based on the Adaptive Neuro‐Fuzzy Inference System
In this work, a novel hybrid neuro‐fuzzy classifier (HNFC) technique is proposed for
producing more accuracy in input data classification. The inputs are fuzzified using a …
producing more accuracy in input data classification. The inputs are fuzzified using a …