[HTML][HTML] Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System
Z Chang, X Shi, K Zheng, Y Lu, Y Deng, J Huang - Buildings, 2024 - mdpi.com
Media visual sculpture is a landscape element with high carbon emissions. To reduce
carbon emission in the process of creating and displaying visual art and structures (visual …
carbon emission in the process of creating and displaying visual art and structures (visual …
[HTML][HTML] Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer …
X Wang, Y Zhong, F Zhu, J Huang - Buildings, 2024 - mdpi.com
The construction industry's evolution towards sustainability necessitates the adoption of
environmentally friendly materials and practices. Geopolymer concrete (GeC) stands out as …
environmentally friendly materials and practices. Geopolymer concrete (GeC) stands out as …
[HTML][HTML] Fostering Sustainable Mining Practices in Rock Blasting: Assessment of Blast Toe Volume Prediction using Comparative Analysis of Hybrid Ensemble …
Blast toe volume, pivotal in explosive engineering, underpins explosive energy efficient
utilization, blast safety and mine production sustainability. While current research explores …
utilization, blast safety and mine production sustainability. While current research explores …
Ensuring the security of the clean energy transition: Examining the impact of geopolitical risk on the price of critical minerals
Ensuring a stable supply of critical minerals at reasonable prices is essential for the clean
energy transition. The security of supply of critical minerals is particularly susceptible to …
energy transition. The security of supply of critical minerals is particularly susceptible to …
An Empirical Systematic Study of Deep Learning-Based Software Defect Prediction Models in Complex Systems
Z Shen - 2024 IEEE 7th International Conference on …, 2024 - ieeexplore.ieee.org
This paper introduces an empirical study on a complex system environment, aiming to
construct and evaluate a deep learning-based software defect prediction model. The model …
construct and evaluate a deep learning-based software defect prediction model. The model …
[PDF][PDF] MACHINE LEARNING-BASED PREDICTION OF ELECTRIC VEHICLE CHARGING DEMAND PATTERNS
A da Silva Antunes - 2024 - estudogeral.uc.pt
Abstract The integration of Electric Vehicles (EVs) into the electrical grid is one of the new
concerns of modern times. Since the growth of EVs numbers is exponential and the charging …
concerns of modern times. Since the growth of EVs numbers is exponential and the charging …