Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy
This study aims to investigate the measurement parameters for predicting the electric energy
consumption of residential buildings using a data-driven model. Herein, the temporal …
consumption of residential buildings using a data-driven model. Herein, the temporal …
Quality control of thermally modified western hemlock wood using near-infrared spectroscopy and explainable machine learning
The quality control of thermally modified wood and identifying heat treatment intensity using
nondestructive testing methods are critical tasks. This study used near-infrared (NIR) …
nondestructive testing methods are critical tasks. This study used near-infrared (NIR) …
Application of machine learning for prediction and process optimization—case study of blush defect in plastic injection molding
Injection molding is one of the most important processes for the mass production of plastic
parts. In recent years, many researchers have focused on predicting the occurrence and …
parts. In recent years, many researchers have focused on predicting the occurrence and …
Estimating the mechanical properties of Heat-Treated woods using Optimization Algorithms-Based ANN
The study investigates the Modulus of Rupture (MOR) and Modulus of Elasticity (MOE) of the
heat-treated wood by implementing Artificial Neural Networks (ANNs) on a dataset of 104 …
heat-treated wood by implementing Artificial Neural Networks (ANNs) on a dataset of 104 …
Estimation of flexural tensile strength as a function of shear of timber structures
To avoid the intrinsic difficulties regarding the characterization of wood (ie, different
applications in different directions), various normative documents present the relationships …
applications in different directions), various normative documents present the relationships …
Tribological behavior on stir casted metal matrix composites of Al 6070 and TiC reinforcement with Taguchi S/N ratios
VR Sivakumar, V Kavitha, NS Saravanan… - Materials Today …, 2023 - Elsevier
Al 6070 alloy is used in various heavy-duty applications like pipelines and welding
structures. The wear resistance of the Al 6070 alloy should be enhanced for the …
structures. The wear resistance of the Al 6070 alloy should be enhanced for the …
Hygroscopicity and dimensional stability of wood thermally treated with moist air or low point metal alloy: a comparative study
X Zhao, T Wang, L He, T Zhang, J Gao, Z He, S Yi - Holzforschung, 2023 - degruyter.com
Heat treatment is effective in reducing moisture absorption and improving the dimensional
stability of wood. Low point metal alloy (LMPA) is characterized by high thermal conductivity …
stability of wood. Low point metal alloy (LMPA) is characterized by high thermal conductivity …
Stiffness and hardness of thermally modified timber assessed with explainable machine learning
Thermal modification is an environmentally friendly practice to enhance the durability of
wood. Despite the method's effectiveness in improving wood durability and dimensional …
wood. Despite the method's effectiveness in improving wood durability and dimensional …
Performance of ANN, Random Forest and XGBoost methods in predicting the flexural properties of wood beams reinforced with carbon-FRP
Y Şimşek Türker, Ş Kilinçarslan… - Wood Material Science …, 2024 - Taylor & Francis
Wooden material can be used in different areas due to its various positive properties. Glued
Laminated wooden elements (glulam) are wood composite materials widely used especially …
Laminated wooden elements (glulam) are wood composite materials widely used especially …
Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques
A Shiuly, D Dutta, A Mondal - Frontiers of Structural and Civil Engineering, 2022 - Springer
Compressive strength is the most important metric of concrete quality. Various
nondestructive and semi-destructive tests can be used to evaluate the compressive strength …
nondestructive and semi-destructive tests can be used to evaluate the compressive strength …