Searched for: subject%3A%22Diagnosis%22
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Noom, J. (author)
The complexity of automated systems has grown considerably during the past decades. This convolutes the observation of possible faults in these systems. If not being revealed timely, such faults can lead to catastrophic failures. As a result, there is a continuous interest in sophisticated fault diagnosis techniques. Since it is generally...
doctoral thesis 2024
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Wolfkamp, Wouter (author), Meijer, Joyce (author), van Hoeve, Jolanda C. (author), van Erning, Felice (author), de Geus-Oei, L.F. (author), de Hingh, Ignace (author), Veltman, Jeroen (author), Siesling, Sabine (author)
Background: In the Netherlands, the COVID-19 pandemic resulted in a temporary halt of population screening for cancer and limited hospital capacity for non-COVID care. We aimed to investigate the impact of the pandemic on the in-hospital diagnostic pathway of breast cancer (BC) and colorectal cancer (CRC). Methods: 71,159 BC and 48,900 CRC...
journal article 2024
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Heidekamp, Mathijs (author)
Resistive random access memory (RRAM) is an emerging memory technology that has the potential to replace dynamic random access memory (DRAM) or FLASH. The current memory technology suffer from scalability issues. RRAM can be used as potential replacement for Flash and DRAM. RRAM stores information using resistance states instead of charge. RRAM...
master thesis 2023
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Aouichi, Ahmed (author)
This thesis focuses on identifying and classifying defects in STT-MRAM technology using novel and machine learning approaches. The thesis discusses the basic principles of STT-MRAM and the semiconductor chip manufacturing process and test stages. The research aims to develop novel methods and explore machine-learning approaches to diagnose...
master thesis 2023
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Ziad Ahmad Saad Soliman Nawar, Ziad (author)
Machine learning (ML) systems for computer vision applications are widely deployed in decision-making contexts, including high-stakes domains such as autonomous driving and medical diagnosis. While largely accelerating the decision-making process, those systems have been found to suffer from a severe issue of reliability, i.e., they can easily...
master thesis 2023
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de Reij, Segher (author)
This research presents the design and implementation of a fault diagnosis filter for a high-fidelity simulation model of the AB383 wire bonder. Fault diagnosis, which consists of detecting, isolating, and estimating faults, enables more effective maintenance strategies and potentially mitigates costly downtime in high-precision motion and...
master thesis 2023
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Harthoorn, Jip (author)
Advancements in the precision and accuracy of consumer-grade wearables, such as a Fitbit, have enabled the identification and therefore authentication of individuals based on their emitted heart frequencies using these wrist-worn devices. With this type of authentication, a password is essentially sent out every second. This makes it a perfect...
bachelor thesis 2023
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Liao, Yucheng (author)
The Monitoring technique plays a vital role in ensuring the proper functioning of modern industrial systems that are highly sophisticated and automated. On two different applications, this thesis investigates two major categories of information redundancy monitoring techniques, model-based and data-driven.<br/><br/>The first application focuses...
master thesis 2023
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Saify, Burhanuddin (author)
As quadrotors continue to become more popular for personal and commercial use, improving their safety is essential, especially in impaired operating states. With (asymmetric) blade damage (ABD) being a potentially dangerous type of impairment, it is beneficial to understand how it affects the dynamic behavior of a quadrotor. This research...
master thesis 2023
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Zhang, Xinqi (author), Shi, Jihao (author), Yang, M. (author), Huang, Xinyan (author), Usmani, Asif Sohail (author), Chen, Guoming (author), Fu, Jianmin (author), Huang, Jiawei (author), Li, Junjie (author)
Long short-term memory (LSTM) has been widely applied to real-time automated natural gas leak detection and localization. However, LSTM approach could not provide the interpretation that this leak position is localized instead of other positions. This study proposes a leakage detection and localization approach by integrating the attention...
journal article 2023
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Classens, Koen (author), Heemels, W. P.M.H. (author), Oomen, T.A.E. (author)
The performance of fault detection filters relies on a high sensitivity to faults and a low sensitivity to disturbances. The aim of this paper is to develop an approach to directly shape these sensitivities, expressed in terms of minimum and maximum singular values. The developed method offers an alternative solution to the H<sub>-</sub>/H...
journal article 2023
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Al-Ars, Z. (author), Agba, Obinna (author), Guo, Zhuoran (author), Boerkamp, C. (author), Jaber, Ziyaad (author), Jaber, Tareq (author)
This paper offers a systematic method for creating medical knowledge-grounded patient records for use in activities involving differential diagnosis. Additionally, an assessment of machine learning models that can differentiate between various conditions based on given symptoms is also provided. We use a public disease-symptom data source called...
conference paper 2023
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Fieback, M. (author), Bradarić, Filip (author), Taouil, M. (author), Hamdioui, S. (author)
Resistive Random Access Memory (RRAM, or ReRAM) is a promising memory technology to replace Flash because of its low power consumption, high storage density, and simple integration in existing IC production processes. This has motivated many companies to invest in this technology. However, RRAM manufacturing introduces new failure mechanisms and...
conference paper 2023
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Pirola, S. (author), Arzani, Amirhossein (author), Chiastra, Claudio (author), Sturla, F. (author)
contribution to periodical 2023
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Vera, Carlos (author), Garnacho, Fernando (author), Klüss, Joni (author), Mier Escurra, C. (author), Álvarez, Fernando (author), Lahti, Kari (author), Khamlichi, Abderrahim (author), Elg, Alf Peter (author), Mor, A. R. (author)
The insulation condition of HVDC grids consisting of cable systems, GIS, and converters should be monitored by partial discharge (PD) analysers using artificial intelligence (AI) tools for efficient insulation diagnosis. Although there are many experiences of PD monitoring solutions developed for the supervision of the insulation condition of...
journal article 2023
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Oyibo, P.O. (author), Meulah, Brice (author), Bengtson, Michel (author), Lieshout, Lisette van (author), Oyibo, Wellington (author), Diehl, J.C. (author), Vdovin, Gleb (author), Agbana, T.E. (author)
Purpose: Automated diagnosis of urogenital schistosomiasis using digital microscopy images of urine slides is an essential step toward the elimination of schistosomiasis as a disease of public health concern in Sub-Saharan African countries. We create a robust image dataset of urine samples obtained from field settings and develop a two-stage...
journal article 2023
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Ribo-Perez, D.G. (author), As, J. Van (author), Montagud-Montalvá, C. (author), Royo-Pastor, R. (author)
This research aims to diagnose the energy performance of buildings in València and identify areas where energy efficiency can be improved. The energy performance results of all 129,487 EPCs in the city were mapped and compared to socioeconomic variables to gain insights into the reasons behind the results. The study reveals that the city's...
journal article 2023
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Mai, Zhijian (author), Cao, Nengjie (author), Cheng, Erzhuo (author), Zeng, Zhiwen (author), Feng, Yancong (author), Wang, Yao (author), French, P.J. (author), Lee, Yi Kuen (author), Yang, Haihong (author)
To develop multifunctional small-molecule prodrugs is highly desirable for cancer treatment but remains challenging in intrinsic traceability. As an acid-cleavable linkage, a Schiff bases benefiting from its distinctive fluorescence quenching ability was selected to prepare a small-molecule prodrug with cancer-targeted and self-indicating. In...
journal article 2023
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Noom, J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
Model-based fault diagnosis for dynamical systems is a sophisticated task due to model inaccuracies, measurement noise and many possible fault scenarios. By presenting faults in terms of a dictionary, the latter obstacle is recently addressed using well-known techniques for recovering sparse information (e.g. lasso). However, current state-of...
journal article 2023
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Aouichi, A. (author), Yuan, S. (author), Fieback, M. (author), Rao, Siddharth (author), Kim, Woojin (author), Marinissen, Erik Jan (author), Couet, Sebastien (author), Taouil, M. (author), Hamdioui, S. (author)
Spin-Transfer Torque Magnetic RAMs (STT-MRAMs) are on their way to commercialization. However, obtaining high-quality test and diagnosis solutions for STT-MRAMs is challenging due to the existence of unique defects in Magnetic Tunneling Junctions (MTJs). Recently, the Device-Aware Test (DA-Test) method has been put forward as an effective...
conference paper 2023
Searched for: subject%3A%22Diagnosis%22
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