Zobrazeno 1 - 10
of 3 662
pro vyhledávání: '"Fons, P"'
Autor:
de Jong, Ronald L. P. D., Khalil, Yasmina al, Jaspers, Tim J. M., van Jaarsveld, Romy C., Kuiper, Gino M., Li, Yiping, van Hillegersberg, Richard, Ruurda, Jelle P., Breeuwer, Marcel, van der Sommen, Fons
Esophageal cancer is among the most common types of cancer worldwide. It is traditionally treated using open esophagectomy, but in recent years, robot-assisted minimally invasive esophagectomy (RAMIE) has emerged as a promising alternative. However,
Externí odkaz:
http://arxiv.org/abs/2412.03401
Existing communication hardware is being exerted to its limits to accommodate for the ever increasing internet usage globally. This leads to non-linear distortion in the communication link that requires non-linear equalization techniques to operate t
Externí odkaz:
http://arxiv.org/abs/2410.16125
This paper investigates the application of end-to-end (E2E) learning for joint optimization of pulse-shaper and receiver filter to reduce intersymbol interference (ISI) in bandwidth-limited communication systems. We investigate this in two numerical
Externí odkaz:
http://arxiv.org/abs/2409.11980
Publikováno v:
Nature Commun. 15, 7174 (2024)
Polarons can control carrier mobility and can also be used in the design of quantum devices. Although much effort has been directed into investigating the nature of polarons, observation of defect-related polarons is challenging due to electron-defec
Externí odkaz:
http://arxiv.org/abs/2409.06144
Autor:
Hesar, Fatemeh Fazel, Foing, Bernard, Heras, Ana M., Raouf, Mojtaba, Foing, Victoria, Javanmardi, Shima, Verbeek, Fons J.
This study applied machine learning models to estimate stellar rotation periods from corrected light curve data obtained by the NASA Kepler mission. Traditional methods often struggle to estimate rotation periods accurately due to noise and variabili
Externí odkaz:
http://arxiv.org/abs/2409.05482
Autor:
Viviers, Christiaan, Valiuddin, Amaan, Caetano, Francisco, Abdi, Lemar, Filatova, Lena, de With, Peter, van der Sommen, Fons
Detecting Out-of-Distribution (OOD) sensory data and covariate distribution shift aims to identify new test examples with different high-level image statistics to the captured, normal and In-Distribution (ID) set. Existing OOD detection literature la
Externí odkaz:
http://arxiv.org/abs/2409.03043
Autor:
Lehman, Dan, Schoonbeek, Tim J., Hung, Shao-Hsuan, Kustra, Jacek, de With, Peter H. N., van der Sommen, Fons
Recognizing errors in assembly and maintenance procedures is valuable for industrial applications, since it can increase worker efficiency and prevent unplanned down-time. Although assembly state recognition is gaining attention, none of the current
Externí odkaz:
http://arxiv.org/abs/2408.12945
Autor:
Schoonbeek, Tim J., Balachandran, Goutham, Onvlee, Hans, Houben, Tim, Hung, Shao-Hsuan, Kustra, Jacek, de With, Peter H. N., van der Sommen, Fons
Assembly state recognition facilitates the execution of assembly procedures, offering feedback to enhance efficiency and minimize errors. However, recognizing assembly states poses challenges in scalability, since parts are frequently updated, and th
Externí odkaz:
http://arxiv.org/abs/2408.11700
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
Effective utilization of time series data is often constrained by the scarcity of data quantity that reflects complex dynamics, especially under the condition of distributional shifts. Existing datasets may not encompass the full range of statistical
Externí odkaz:
http://arxiv.org/abs/2406.05249