Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
The entry-level job pipeline is thinning globally, and the consequences of eliminating these types of roles in favor of AI ...
Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
Abstract: Sleep disorder classification is crucial in improving human quality of life. Sleep disorders and apnoea can have a significant influence on human health. Sleep-stage classification by ...
Abstract: Decision tree (DT), an efficient and interpretable machine learning algorithm, has been widely used in numerous industrial applications. As the demand for higher performance grows, there is ...
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