Python fits into quantitative and algorithmic trading education because it connects ideas with implementation. It removes ...
Background Data-sharing mandates from funders and journals have increased in recent years, but little is known about how shared data are used. Existing research has focused on access frameworks, with ...
Bruins, D. , de Vroege, L. and van den Broek, A. (2026) The Mental Health of Mental Healthcare Professionals (MHCPs): A ...
Abstract: This paper presents a novel data-driven approach to fault diagnosability analysis for linear discrete-time systems. Current methods rely heavily on single evaluation functions based on ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Abstract: In this paper, we leverage unmanned aerial vehicles (UAVs) to enhance mobile crowd sensing (MCS) by addressing two critical challenges: uncontrollable data quality and inevitable unsensed ...