The complexity of engineering optimization problems is increasing. Classical gradient-
based optimization algorithms are a mathematical means of solving complex problems …

At present, the global energy crisis and environmental pollution coexist, and the demand for
sustainable clean energy has been highly concerned. Bioelectrocatalysis that combines the …

Forecasting long-term energy consumption is essential to enhance resource utilization and
promote sustainability in campus buildings. This study employs a comprehensive approach …

In the modern era, where the global energy sector is transforming to meet the
decarbonization goal, cutting-edge information technology integration, artificial intelligence …

This systematic review investigates the role of artificial intelligence (AI) in advancing clean
energy technologies within Europe, based on a literature survey from 2006 to 2023. The …

Develo** cost‐effective, durable anode electrodes is essential for commercializing direct
urea fuel cells (FCs). In the current study, standalone copper hydroxide nanograss was …

One of the most critical issues in machine learning is the selection of appropriate hyper
parameters for training models. Machine learning models may be able to reach the best …

In this study, a Genetic Algorithm-Backpropagation Neural Network (GA-BPNN) model was
developed to predict critical exhaust volumetric flow rate in tunnel fires with two-point …

Global water scarcity and pollution are among the most severe challenges, affecting the
lives of over 2.2 billion people and leading to a projected water demand that will exceed …

The rapid development of information technology and artificial intelligence algorithms has
had a profound impact on the real world, and new technologies have led many traditional …