Electronic word-of-mouth data on social media influences stock trading and the confidence
of stock markets. Thus, sentiment analysis of comments related to stock markets becomes …

Particle swarm optimization (PSO) is a simple and efficient optimization method that has
been used in many fields. However, PSO has some flaws including premature convergence …

Power and freshwater are two energy-intensive products, which consume a huge amount of
fossil fuels. It is important to supply the aforementioned products using renewable energy …

The snow ablation optimizer (SAO) is a meta-heuristic technique used to seek the best
solution for sophisticated problems. In response to the defects in the SAO algorithm, which …

This paper introduces a deep learning-based multi-objective optimization framework,
applying for advancing the design of the Cross-Laminated Timber Coupled Wall system …

Systematic evaluation of the geotechnical parameters of rock slopes facilitates predicting the
risk level of slope excavation processes and reliability analysis of geotechnical engineering …

Machine learning technologies have recently emerged as transformative tools for enhancing
project management accuracy and efficiency. This study introduces a data-driven model that …

Os Problemas de Escalonamento são desafios comuns em diversas áreas, e envolvem a
procura por soluções ótimas em espaços de soluções que, muitas vezes, crescem …

Dans un contexte industriel extrêmement concurrentiel, avec des cahiers des charges de
plus en plus exigeants, l'approche systémique permet d'envisager des solutions originales …