The article shows that machine learning may support portfolio segmentation, case prioritisation, and resource allocation in debt collection management, but such methods should be treated as decision-support tools rather than instruments for fully automating debt collection decisions.
Rafał Jankowski, Ł. Jankowski· Communications of Internatio...· 0 citations
A framework for CVSHM, which allows for robust detection, localization, and assessment of the damage even for highly contaminated displacement data, is proposed and tested using realistic synthetic videos representing vibrating truss structure.
M. Ostrowski, B. Błachowski, M. Żarski et al.· e-Journal of Nondestructive...· 0 citations
Load identification is a crucial topic in structural health monitoring (SHM). Existing approaches involve a trade-off between the amount of data required and the fidelity of available parametric physical models. Purely data-driven methods require extensive labeled training data for reliable identification and lack phys...
Xinhao An, J. Hou, L. Jankowski et al.· e-Journal of Nondestructive...· 0 citations
Purpose | The purpose of the paper is to assess the economic effects of implementing or modifying onboarding processes for blue-collar workers and to incorporate data derived from non-academic (grey) literature into empirical analysis from the management and economics perspective. Research method | The study was based...
