Publicaties

The symposium ParaFPGA focuses on parallel techniques using FPGAs as accelerator in high performance computing. The green computing aspects of low power consumption at high performance were somewhat tempered by long design cycles and hard programmability issues. However, in recent years FPGAs have become new contenders as versatile compute accelerators because of a growing market interest, extended application domains and maturing high-level ...

This study investigates digitalization in the shipping industry by analyzing over 500 industry presentations from an eight-year span to discern key trends and nascent signals. Employing optical character recognition, advanced natural language processing techniques, and similarity metrics, the research enhances topic interpretability. Through Theil–Sen regressions and diffusion metrics, it identifies trends and emerging signals, noting a rise in ...

The association between economic cycles-typically measured in terms of GDP growth or swings in unemployment-and macro-level fertility trends has received ample attention in the literature. Compared to studies that consider macro-level fertility, individual-based models can address the association between economic cycles and specific stages of family formation (e.g. entry into parenthood) more precisely while allowing for structural factors that ...

OBJECTIVES: With the ageing of our population, it seems plausible that the prevalence of both dementia and multimorbidity will increase in the following decades. The aim of this study is to examine the trends in prevalence and incidence of registered dementia and trends in multimorbidity in patients with dementia in general practice in Flanders. DESIGN: Retrospective, longitudinal cohort study. SETTING: Primary care practices across Flanders, ...

Estimation of changes in abundances and densities is essential for the research, management, and conservation of animal populations. Recently, technological advances have facilitated the surveillance of animal populations through the adoption of passive sensors, such as camera traps (CT). Several methods, including the random encounter model (REM), have been developed for estimating densities of unmarked populations but require additional ...

A better understanding of hydrological changes associated with climate change can be achieved by analyzing the temporal trends in river discharge time series. We used the non-parametric Spearman's rho, Kendall's tau, Mann Kendall and Theil-Sen approaches to evaluate annual and monthly trends in river flow data from 12 stations located in the mountainous western regions of Iran over a 40-year period spanning the hydrological years 1969-1970 to ...