Location-driven applications continue to grow in complexity as businesses rely more heavily on real-time data, routing logic, and precise geospatial calculations. Whether it’s a delivery platform ...

Abstract: Matrix factorization is a central paradigm in matrix completion and collaborative filtering. Low-rank factorizations have been extremely successful in reconstructing and generalizing ...

Objectives: Underreporting of occupational diseases (ODs) could be attributed to poor medical accessibility, which is rarely discussed previously. Our cross-sectional study aims to evaluate how OD ...

KEYWORDS: Vehicle Routing Problem (VRP), Google Maps Distance Matrix API, Python, Pulp, Mixed Integer Linear Programming, Transportation, Optimisation Problem, Time Window, Mathematical Modelling ...

Commercial organisations commonly use operational research tools to solve vehicle routing problems. This practice is less commonplace in charity and voluntary organisations. In this paper, we provide ...

Clicking companion to floppy disks, storing megabytes of data, a bridge to the era of chunky computers and slower tech. Clicking companion to floppy disks, storing megabytes of data, a bridge to the ...

Abstract: For a point set, Euclidean distance matrix (EDM) is the matrix consisting of squared distances between every pair of points in the set. It frequently appears in wide ranging applications ...

Geolocation is a straightforward Google Maps API designed for Python users. With this app, you can easily access location-based information such as country, city, street, reverse geocode, street ...

1 Department of Computer Science, Universidad del Norte, Barranquilla, Colombia 2 Department of Industrial Engineering, Universidad del Norte, Barranquilla, Colombia Support Vector Machines (SVMs) are ...