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Khan, Muhammad Hasnain Ayub (author), Jafri, Turab H. (author), Ud-Din, Sameer (author), Ullah, H.S. (author), Nawaz, Muhammad Naqeeb (author)The laboratory determination of maximum dry density (ρ<sub>dmax</sub>) and optimum moisture content (w<sub>opt</sub>) of soils requires considerable time and energy. Efforts have been made in the past to present models to predict the soil compaction parameters (ρ<sub>dmax</sub> and w<sub>opt</sub>), but the existing models are either...journal article 2024
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Ji, Y. (author), Fu, Xiaoqian (author), Ding, Feng (author), Xu, Yongtao (author), He, Yang (author), Ao, Min (author), Xiao, Fulai (author), Chen, Dihao (author), Dey, P. (author), Qin, Wentao (author), Xiao, Kui (author), Ren, Jingli (author), Kong, Decheng (author), Li, Xiaogang (author), Dong, Chaofang (author)Efficiently designing lightweight alloys with combined high corrosion resistance and mechanical properties remains an enduring topic in materials engineering. Due to the inadequate accuracy of conventional stress-strain machine learning (ML) models caused by corrosion factors, a novel reinforcement self-learning ML algorithm combined with...journal article 2024
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Starmans, M.P.A. (author), Miclea, Razvan L. (author), Vilgrain, Valerie (author), Ronot, Maxime (author), Purcell, Yvonne (author), Verbeek, Jef (author), Niessen, W.J. (author), Klein, Stefan (author), Thomeer, Maarten G. (author)Rationale and Objectives: Distinguishing malignant from benign liver lesions based on magnetic resonance imaging (MRI) is an important but often challenging task, especially in noncirrhotic livers. We developed and externally validated a radiomics model to quantitatively assess T2-weighted MRI to distinguish the most common malignant and...journal article 2024
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Liu, Yuxuan (author), Eeltink, Debbie (author), van den Bremer, T.S. (author), Adcock, Thomas A.A. (author)Wave breaking is a complex physical process about which open questions remain. For some applications, it is critical to include breaking effects in phase-resolved envelope-based wave models such as the non-linear Schrödinger. A promising approach is to use machine learning to capture breaking effects. In the present paper we develop the...journal article 2024
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Slieker, Roderick C. (author), Münch, Magnus (author), Donnelly, Louise A. (author), Bouland, G.A. (author), Dragan, Iulian (author), Kuznetsov, Dmitry (author), Elders, Petra J.M. (author), Rutter, Guy A. (author), Ibberson, Mark (author)Aims/hypothesis: People with type 2 diabetes are heterogeneous in their disease trajectory, with some progressing more quickly to insulin initiation than others. Although classical biomarkers such as age, HbA<sub>1c</sub> and diabetes duration are associated with glycaemic progression, it is unclear how well such variables predict insulin...journal article 2024
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Zhi, Danyue (author), Zhao, Hepeng (author), Chen, Yan (author), Song, Weize (author), Song, Dongdong (author), Yang, Y. (author)The configuration of the urban built environment is critical for promoting sustainability and achieving carbon neutrality. However, existing studies mostly use linear and spatial econometric models to investigate the relationship between urban built environments and traffic carbon dioxide (CO<sub>2</sub>) emissions, in-depth studies exploring...journal article 2024
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Lathourakis, C.L. (author), Cicirello, A. (author)A method is introduced for the identification of the nonlinear governing equations of dynamical systems in the presence of discontinuous and nonsmooth nonlinear forces, such as the ones generated by frictional contacts, based on noisy measurements. The so-called Physics Encoded Sparse Identification of Nonlinear Dynamics (PhI-SINDy) builds...journal article 2024
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Daoutidis, Prodromos (author), Lee, Jay H. (author), Rangarajan, Srinivas (author), Chiang, Leo (author), Gopaluni, Bhushan (author), Schweidtmann, A.M. (author), Harjunkoski, Iiro (author), Mercangöz, Mehmet (author), Mesbah, Ali (author)This “white paper” is a concise perspective of the potential of machine learning in the process systems engineering (PSE) domain, based on a session during FIPSE 5, held in Crete, Greece, June 27–29, 2022. The session included two invited talks and three short contributed presentations followed by extensive discussions. This paper does not...journal article 2024
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Martonová, Denisa (author), Peirlinck, M. (author), Linka, Kevin (author), Holzapfel, Gerhard A. (author), Leyendecker, Sigrid (author), Kuhl, Ellen (author)For more than half a century, scientists have developed mathematical models to understand the behavior of the human heart. Today, we have dozens of heart tissue models to choose from, but selecting the best model is limited to expert professionals, prone to user bias, and vulnerable to human error. Here we take the human out of the loop and...journal article 2024
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Dobbe, R.I.J. (author), Wolters, A.E. (author)This paper provides an empirical and conceptual account on seeing machine learning models as part of a sociotechnical system to identify relevant vulnerabilities emerging in the context of use. As ML is increasingly adopted in socially sensitive and safety-critical domains, many ML applications end up not delivering on their promises, and...journal article 2024
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Zhang, Xiaoxi (author), Pan, Yongjun (author), Cao, Yangzheng (author), Liu, Binghe (author), Yu, X. (author)The swift advancement of electric vehicle technology has led to increased requirements for ensuring the safety of batteries. Various models for predicting battery life and aging have been introduced to facilitate the appropriate utilization of batteries. Timely prediction and alert systems for identifying potential battery failure due to...journal article 2024
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van de Pol, Dani (author)The Dutch banking sector is mandated to identify and report transactions that may signify money laundering (ML) activities. Banks have been reliant on rule-based transaction monitoring (TM) systems that flag transactions exceeding predefined thresholds. While such systems are instrumental in filtering potential ML transactions, the inherently...master thesis 2023
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Eek, Majolie (author)This study is an analysis of sand mining in the Vietnamese Mekong Delta (VMD) with the use of the optical satellite data set PlanetScope. This is done with a detection and classification model of sand mining vessels in the VMD. The classification model is based on machine-learning and it is trained with three classes: sand mining vessels, other...master thesis 2023
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Veeger, Lucas (author)Reducing cost and improving computability of reservoir simulation is an important goal in the process of enabling CCS (Carbon Capture \& Storage) as a large-scale technology for mitigating CO2 emissions. In terms of computation time data-driven approaches have potential to outweigh the performance of numerical reservoir simulators, learning...master thesis 2023
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Maes, Vincent (author)The aerodynamic model of a combat aircraft is essential for its success and competitiveness compared to other combat aircraft. This thesis aims to research the most optimal machine learning model to create an aerodynamic model of a combat aircraft. The very large but still sparse, highly nonlinear dataset forms a challenge for using specific...master thesis 2023
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Weijenberg, Yannick (author)This thesis investigates clinical phase recognition for cardiac catheterization purposes, focusing on coronary angiography (CAG) procedures, in the context of an increasing annual prevalence of coronary artery disease. It applies machine learning to analyze C-arm logs and video recordings, aiming to improve procedural efficiency by recognizing...master thesis 2023
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Apak, Boran (author)The goal of this thesis is expanding quantum algorithm datasets to enhance our capability to benchmark quantum systems and to open up possibilities for using machine learning techniques in quantum circuit mapping. Both of these areas are currently hindered by the lack of a wide range of useful quantum algorithms. To solve this problem, KetGPT is...master thesis 2023
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Wan, Z. (author)Self-healing concrete has great potential to enhance the durability of concrete structures without significantly increasing the initial costs. Among the self-healing approaches, vascular self-healing cementitious composite is capable of supplying healing agents to the cracked region in a continuous way or multiple times. However, the use of...doctoral thesis 2023
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Li, Sitong (author), Rao, Chengzhi (author), Zhang, Chi (author), Wei, Wei (author)In a rapidly evolving digital landscape, 3D city models have become more accurate and complex. Despite their widespread availability of open-source 3D city model datasets, these invaluable resources remain underutilized. Our primary goal centers on the classification of building and roof types. For our client, Spotr, our work directly impacts on...student report 2023
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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