Against the backdrop of global change—characterized by climate warming, shifting precipitation patterns, and intensified anthropogenic disturbances—the ...

Multi-location brands must adapt to fragmented search visibility across Google, Maps, AI assistants, and social platforms.

Abstract: In many real-world applications, multi-objective optimization problems may have more than one Pareto sets. The goal of multi-modal multi-objective optimization is to find all Pareto sets in ...

This implementation of PT was developed using MATLAB 2015. The code is organized in different packages depending on the scope. The main package is called pt which stands for Pareto Tracer. This ...

This package offers an interface for objective functions in the context of (multi-objective) global optimization. It conveniently builds up on the S3 objects, i. e., an objective function is a S3 ...

Abstract: Clustering is an unsupervised machine learning technique used to partition unlabeled data into different groups. However, traditional clustering methods only provide a set of results without ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This research introduces a machine learning-centric approach to replicate olfactory ...

1 Department of Computer Science, University of Manitoba, Winnipeg, Canada. 2 Department of Statistics, University of Manitoba, Winnipeg, Canada. This research introduces a novel hybrid architecture ...