Zobrazeno 1 - 10
of 3 393
pro vyhledávání: '"van Jaarsveld AS"'
Autor:
Temizöz, Tarkan, Imdahl, Christina, Dijkman, Remco, Lamghari-Idrissi, Douniel, van Jaarsveld, Willem
Deploying deep reinforcement learning (DRL) in real-world inventory management presents challenges, including dynamic environments and uncertain problem parameters, e.g. demand and lead time distributions. These challenges highlight a research gap, s
Externí odkaz:
http://arxiv.org/abs/2411.00515
Problem definition: Unexpected component failures in industrial assets can lead to significant financial losses and operational disruptions, making preventive maintenance crucial for reducing unplanned downtime. This study focuses on optimizing maint
Externí odkaz:
http://arxiv.org/abs/2410.18246
Autor:
Jaspers, Tim J. M., de Jong, Ronald L. P. D., Khalil, Yasmina Al, Zeelenberg, Tijn, Kusters, Carolus H. J., Li, Yiping, van Jaarsveld, Romy C., Bakker, Franciscus H. A., Ruurda, Jelle P., Brinkman, Willem M., De With, Peter H. N., van der Sommen, Fons
Publikováno v:
Data Engineering in Medical Imaging. DEMI 2024. Lecture Notes in Computer Science
Over the past decade, computer vision applications in minimally invasive surgery have rapidly increased. Despite this growth, the impact of surgical computer vision remains limited compared to other medical fields like pathology and radiology, primar
Externí odkaz:
http://arxiv.org/abs/2407.17904
Downtime of industrial assets such as wind turbines and medical imaging devices is costly. To avoid such downtime costs, companies seek to initiate maintenance just before failure, which is challenging because: (i) Asset failures are notoriously diff
Externí odkaz:
http://arxiv.org/abs/2401.04574
Methods to generate realistic non-stationary demand scenarios are a key component for analyzing and optimizing decision policies in supply chains. Typical forecasting techniques recommended in standard inventory control textbooks consist of some form
Externí odkaz:
http://arxiv.org/abs/2312.11273
We build a parsimonious model of a stochastic e-commerce fulfillment center offering time-dependent shipment options and corresponding fees to utility-maximizing customers that arrive according to a Poisson process. For this time-dependent policy, we
Externí odkaz:
http://arxiv.org/abs/2307.10119
Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignment, it is necessary to model the assignment problem first. While ther
Externí odkaz:
http://arxiv.org/abs/2306.02910
Autor:
Thomas S. van Lieshout, Anastasia K. Klerks, Osman Mahic, Robin W. M. Vernooij, Michele F. Eisenga, Brigit C. van Jaarsveld, Alferso C. Abrahams
Publikováno v:
Frontiers in Nephrology, Vol 4 (2024)
BackgroundPatients with kidney failure undergoing dialysis often suffer from anemia. Iron deficiency, along with a shortage in erythropoietin, is a common cause. Peritoneal dialysis (PD) patients may have a different iron metabolism compared to hemod
Externí odkaz:
https://doaj.org/article/8ab675bb0c1644e3b7392230be434ea6
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2357-2374 (2024)
Drought is a devastating natural disaster, during which water shortage often manifests itself in the health of vegetation. Unfortunately, it is difficult to obtain high-resolution vegetation drought impact information that is spatially and temporally
Externí odkaz:
https://doaj.org/article/0896ae397b6f4f20a1c258916b811732
Autor:
Elizabeth A. Werren, Emily R. Peirent, Henna Jantti, Alba Guxholli, Kinshuk Raj Srivastava, Naama Orenstein, Vinodh Narayanan, Wojciech Wiszniewski, Mateusz Dawidziuk, Pawel Gawlinski, Muhammad Umair, Amjad Khan, Shahid Niaz Khan, David Geneviève, Daphné Lehalle, K. L. I. van Gassen, Jacques C. Giltay, Renske Oegema, Richard H. van Jaarsveld, Rafiullah Rafiullah, Gudrun A. Rappold, Rachel Rabin, John G. Pappas, Marsha M. Wheeler, Michael J. Bamshad, Yao-Chang Tsan, Matthew B. Johnson, Catherine E. Keegan, Anshika Srivastava, Stephanie L. Bielas
Publikováno v:
Cell Death and Disease, Vol 15, Iss 5, Pp 1-15 (2024)
Abstract CSMD1 (Cub and Sushi Multiple Domains 1) is a well-recognized regulator of the complement cascade, an important component of the innate immune response. CSMD1 is highly expressed in the central nervous system (CNS) where emergent functions o
Externí odkaz:
https://doaj.org/article/08dbba4aad0f4fdba2b94ba2c9076513