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Forouzandeh Shahraki, N. (author), Zomorodian, Zahra Sadat (author), Tahsildoost, Mohammad (author), Shaghaghian, Zohreh (author)
Recent studies have focused on data-driven methods for building energy efficiency, by using simulated or empirical data, for energy-based design assessment rather than the common physics-based techniques, which are mostly time-consuming. In this paper, the feasibility of using seven different Machine Learning models, including three single...
journal article 2022
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Foroughi, M. (author), de Andrade, Bruno (author), Pereira Roders, A. (author)
Social media has been increasingly used by various communities to express their opinions, values, and feelings about cities and, in particular, built heritage. Social media platforms, interactive technologies used by virtual communities and networks became an important source for recent innovative studies on participatory heritage management....
book chapter 2022
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Mostafavi, F. (author), Tahsildoost, Mohammad (author), Zomorodian, Zahra Sadat (author), Shahrestani, Seyed Shayan (author)
Purpose: In this study, a novel framework based on deep learning models is presented to assess energy and environmental performance of a given building space layout, facilitating the decision-making process at the early-stage design. Design/methodology/approach: A methodology using an image-based deep learning model called pix2pix is proposed...
journal article 2022
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Popov, M. (author), Boricic, Aleksandar (author), Veerakumar, Nidarshan (author), Naglic, Matija (author), Tyuryukanov, I. (author), Tealane, M. (author), Rueda, José L. (author), van der Meijden, M.A.M.M. (author), Palensky, P. (author)
This paper deals with the essentials of synchrophasor applications for future power systems aimed at increasing system reliability and resilience. In this work, several applications are presented, covering real-time disturbance detection and blackout prevention. Firstly, an advanced big-data management platform built in real-time digital...
conference paper 2022
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Conroy, Philip (author), van Diepen, S.A.N. (author), Van Asselen, Sanneke (author), Erkens, Gilles (author), van Leijen, F.J. (author), Hanssen, R.F. (author)
Phase unwrapping, also known as ambiguity resolution, is an underdetermined problem in which assumptions must be made to obtain a result in SAR interferometry (InSAR) time series analysis. This problem is particularly acute for distributed scatterer InSAR, in which noise levels can be so large that they are comparable in magnitude to the...
journal article 2022
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Tian, Xin (author), Vertommen, Ina (author), Tsiami, Lydia (author), van Thienen, Peter (author), Paraskevopoulos, S. (author)
Most water utilities have to handle a substantial number of customer complaints every year. Traditionally, complaints are handled by skilled staff who know how to identify primary issues, classify complaints, find solutions, and communicate with customers. The effort associated with complaint processing is often great, depending on the number...
journal article 2022
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Keulen, D. (author), Geldhof, Geoffroy (author), Bussy, Olivier Le (author), Pabst, Martin (author), Ottens, M. (author)
The safety requirements for vaccines are extremely high since they are administered to healthy people. For that reason, vaccine development is time-consuming and very expensive. Reducing time-to-market is key for pharmaceutical companies, saving lives and money. Therefore the need is raised for systematic, general and efficient process...
journal article 2022
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Wang, K. (author), Wang, Jianhang (author), Huang, Lianzhong (author), Yuan, Yupeng (author), Wu, Guitao (author), Xing, Hui (author), Wang, Zhongyi (author), Wang, Zhuang (author), Jiang, X. (author)
Ship energy consumption and emission prediction are critical for ship energy efficiency management and pollution gas emission control, both of which are major concerns for the shipping industry and hence continue to attract global attention and research interest. This article examined the energy efficiency data sources, big data analysis for...
review 2022
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Angelucci, Alessandra (author), Li, Ziyue (author), Stoimenova, N. (author), Canali, Stefano (author)
Artificial intelligence (AI) systems have been widely applied to various contexts, including high-stake decision processes in healthcare, banking, and judicial systems. Some developed AI models fail to offer a fair output for specific minority groups, sparking comprehensive discussions about AI fairness. We argue that the development of AI...
journal article 2022
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Allahabadi, H. (author), Amann, J. (author), Balot, I. (author), Beretta, A. (author), Binkley, C. (author), Bozenhard, J. (author), Bruneault, F. (author), Brusseau, J. (author), Umbrello, S. (author)
This article’s main contributions are twofold: 1) to demonstrate how to apply the general European Union’s High-Level Expert Group’s (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does “trustworthy AI” mean at the time of the COVID-19 pandemic. To this end, we...
journal article 2022
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Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
journal article 2022
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de Bruijn, J.A. (author), Warnier, Martijn (author), Janssen, M.F.W.H.A. (author)
Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a solution for automated decisions, the wicked nature of the challenges governments face complicates the use of XAI. Wickedness means that the facts that define...
journal article 2022
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Mitchell, Daniel (author), Blanche, Jamie (author), Harper, Sam (author), Lim, Theodore (author), Gupta, Ranjeetkumar (author), Zaki, Osama (author), Tang, Wenshuo (author), Robu, Valentin (author), Watson, Simon (author), Flynn, David (author)
The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy production. Today, RAI applications are...
review 2022
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Paraskevopoulos, S. (author), Smeets, Patrick (author), Tian, X. (author), Medema, G.J. (author)
Health risk assessment of environmental exposure to pathogens requires complete and up to date knowledge. With the rapid growth of scientific publications and the protocolization of literature reviews, an automated approach based on Artificial Intelligence (AI) techniques could help extract meaningful information from the literature and make...
journal article 2022
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Smit, J.M. (author), Krijthe, J.H. (author), Tintu, Andrei N. (author), Endeman, Henrik (author), Ludikhuize, Jeroen (author), van Genderen, Michel E. (author), Gommers, D.A.M.P.J. (author), Arbous, M.S. (author), Reinders, M.J.T. (author)
Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model...
journal article 2022
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Arnaboldi, Michela (author), de Bruijn, J.A. (author), Steccolini, Ileana (author), van der Voort, H.G. (author)
Purpose: The purpose of this paper is to introduce the papers in this special issue on humans, algorithms and data. The authors first set themselves the task of identifying the main challenges arising from the adoption and use of algorithms and data analytics in management, accounting and organisations in general, many of which have been...
journal article 2022
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Urom, Christian (author), Ndubuisi, G.O. (author), Guesmi, Khaled (author), Benkraien, Ramzi (author)
This paper examines the dependence between Artificial Intelligence (AI) and eight energy-focused sectors (including renewable energy and coal) across different market conditions and investment horizons. This paper adopts both linear and non-linear models such as quantile regressions and quantile cross-spectral coherency models. Evidence from the...
journal article 2022
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Ottun, Abdul Rasheed (author), Mane, Pramod C. (author), Yin, Zhigang (author), Paul, Souvik (author), Liyanage, Mohan (author), Pridmore, Jason (author), Ding, Aaron Yi (author), Sharma, Rajesh (author), Nurmi, Petteri (author), Flores, Huber (author)
Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable data, which limits their contributions to the global model. We contribute social-aware federated learning...
journal article 2022
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Marot, Antoine (author), Kelly, Adrian (author), Naglic, M. (author), Barbesant, Vincent (author), Cremer, Jochen (author), Stefanov, Alexandru (author), Viebahn, Jan (author)
Today's power systems are seeing a paradigm shift under the energy transition, sparkled by the electrification of demand, digitalisation of systems, and an increasing share of decarbonated power generation. Most of these changes have a direct impact on their control centers, forcing them to handle weather-based energy resources, new...
journal article 2022
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Meulah, Brice (author), Bengtson, Michel (author), van Lieshout, Lisette (author), Hokke, C.H. (author), Kreidenweiss, Andrea (author), Diehl, J.C. (author), Adegnika, Ayola Akim (author), Agbana, T.E. (author)
Diagnosis of soil-transmitted helminth (STH) and schistosome infections relies largely on conventional microscopy which has limited sensitivity, requires highly trained personnel and is error-prone. Rapid advances in miniaturization of optical systems, sensors and processors have enhanced research and development of digital and automated...
review 2022
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