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Homborg, A.M. (author), Mol, J.M.C. (author), Tinga, Tiedo (author)This paper for the first time treats the interpretation of electrochemical noise time-frequency spectra as an image classification problem. It investigates the application of a convolutional neural network (CNN) for deep learning image classification of electrochemical noise time-frequency transient information. Representative slices of these...journal article 2024
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Singha, Chiranjit (author), Swain, Kishore Chandra (author), Moghimi, Armin (author), Foroughnia, Fatemeh (author), Swain, Sanjay Kumar (author)Accurately assessing forest fire susceptibility (FFS) in the Similipal Tiger Reserve (STR) is essential for biodiversity conservation, climate change mitigation, and community safety. Most existing studies have primarily focused on climatic and topographical factors, while this research expands the scope by employing a synergistic approach...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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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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Adla, Soham (author), Bruckmaier, Felix (author), Arias-Rodriguez, Leonardo F. (author), Tripathi, Shivam (author), Pande, S. (author), Disse, Markus (author)Sensor data and agro-hydrological modeling have been combined to improve irrigation management. Crop water models simulating crop growth and production in response to the soil-water environment need to be parsimonious in terms of structure, inputs and parameters to be applied in data scarce regions. Irrigation management using soil moisture...journal article 2024
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Glab, K. (author), Wehrmeyer, G. (author), Thewes, M. (author), Broere, W. (author)Designing the main drive motor capacity of Earth Pressure Balanced Tunnel Boring Machines (EPB TBMs) is a crucial task for every EPB tunnelling project. The machine needs to be equipped with sufficient power to master the geotechnical conditions of the respective project. On the other hand, overpowering the machine should be avoided for...journal article 2024
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Zhang, D. (author), Wang, Zhenpo (author), Liu, Peng (author), She, Chengqi (author), Wang, Qiushi (author), Zhou, Litao (author), Qin, Z. (author)Accurately evaluating battery degradation is not only crucial for ensuring the safe and reliable operation of electric vehicles (EVs) but also fundamental for their intelligent management and maximum utilization. However, the non-linearity, non-measurability, and multi-stress coupled operating conditions have posed significant challenges for...journal article 2024
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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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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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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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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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Vargas Quiros, J.D. (author), Kapcak, Oyku (author), Hung, H.S. (author), Cabrera Quiros, L.C. (author)Interpersonal attraction is known to motivate behavioral responses in the person experiencing this subjective phenomenon. Such responses may involve the imitation of behavior, as in mirroring or mimicry of postures or gestures, which have been found to be associated with the desire to be liked by an interlocutor. Speed dating provides a...journal article 2023
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Sabzehee, F. (author), Amiri Simkooei, A. (author), Iran Pour, S. (author), Vishwakarma, B.D. (author), Kerachian, R. (author)The Urmia lake in north-west Iran has dried up to perilously low levels in the past two decades. In this study, we investigate the drivers behind the decline in lake water level with the help of in-situ and remote sensing data. We use total water storage (TWS) changes from the gravity recovery and climate experiment (GRACE) satellite mission....journal article 2023
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Freites, Alfredo (author), Corbett, P. W.M. (author), Rongier, G. (author), Geiger, S. (author)Understanding the impact of fractures on fluid flow is fundamental for developing geoenergy reservoirs. Pressure transient analysis could play a key role for fracture characterization purposes if better links can be established between the pressure derivative responses (p′) and the fracture properties. However, pressure transient analysis is...journal article 2023
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Shengren, H. (author), Vergara Barrios, P.P. (author), Salazar Duque, Edgar Mauricio (author), Palensky, P. (author)The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system’s complexity, especially when it comes to defining its operational schedule. Deep reinforcement learning (DRL) algorithms arise as a promising solution due to their data-driven and model-free features. However, current DRL...journal article 2023
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van 't Sant, S. (author), Thakolkaran, P. (author), Martínez, Jonàs (author), Kumar, Siddhant (author)Advancements in machine learning have sparked significant interest in designing mechanical metamaterials, i.e., materials that derive their properties from their inherent microstructure rather than just their constituent material. We propose a data-driven exploration of the design space of growth-based cellular metamaterials based on star-shaped...journal article 2023
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- de Croon, G.C.H.E. (author) journal article 2023
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Li, Z. (author), Kant, Henk (author), Hai, R. (author), Katsifodimos, A (author), Brambilla, Marco (author), Bozzon, A. (author)Machine learning (ML) practitioners and organizations are building model repositories of pre-trained models, referred to as model zoos. These model zoos contain metadata describing the properties of the ML models and datasets. The metadata serves crucial roles for reporting, auditing, ensuring reproducibility, and enhancing interpretability....journal article 2023
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Buijsman, S.N.R. (author)Machine learning is used more and more in scientific contexts, from the recent breakthroughs with AlphaFold2 in protein fold prediction to the use of ML in parametrization for large climate/astronomy models. Yet it is unclear whether we can obtain scientific explanations from such models. I argue that when machine learning is used to conduct...journal article 2023
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van Leer, Martijn D. (author), Zaadnoordijk, Willem (author), Zech, Alraune (author), Buma, Jelle (author), Harting, Ronald (author), Bierkens, Marc F.P. (author), Griffioen, Jasper (author)Aquitards are common hydrogeological features and their hydraulic conductivity is an important property for various groundwater management issues. Predicting their hydraulic conductivity proves challenging, given its dependence on numerous variables. In this study, the dominant factors for predicting aquitard hydraulic conductivity are...journal article 2023