Searched for: collection%253Air
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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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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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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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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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Abbink, David (author), Hao, Peng (author), Laval, Jorge (author), Shalev-Shwartz, Shai (author), Wu, Cathy (author), Yang, Terry (author), Hamdar, Samer (author), Chen, Danjue (author), Xie, Yuanchang (author), Li, Xiaopeng (author), Haque, Mohaiminul (author)
This chapter summarizes the presentations of speakers addressing such issues during the Automated Vehicles Symposium 2020 (AVS20) held virtually on July 27–30, 2020. These speakers participated in the break-out session titled “Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities”. The...
book chapter 2022
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Guo, Peicheng (author), Smit, I.R. (author)
With the development of Artificial intelligence, the connected objects are extended with the predictive capabilities and the character of things can change to “things that predict”. If a connected device is able to embrace a predictive system that not only profiles for scripted behavior but could also use the knowledge co-created by all the...
conference paper 2022
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Zammit, C. (author)
Unmanned Aerial Vehicles (UAVs) are being integrated into all spheres of life, for a wide range of application in civil, commercial and military applications in both indoor and outdoor environments. UAV onboard intelligence is a paramount requirement in the realisation of UAV Traffic Management System (UTM) and Air Traffic Management (ATM)...
doctoral thesis 2021
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Valentine, David Callisto (author), Smit, I.R. (author), Kim, E.D.H. (author)
Trust is an important factor in building acceptance of autonomous vehicles within our society, but the complex nature of trust makes it challenging to design for an appropriate level of trust. This can lead to instances of mistrust and/or distrust between users and AV’s. Designing for calibrated trust is a possible option to address this...
journal article 2021
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Umbrello, S. (author), van de Poel, I.R. (author)
Value sensitive design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular,...
journal article 2021
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Doorn, N. (author)
Recent years have seen a rise of techniques based on artificial intelligence (AI). With that have also come initiatives for guidance on how to develop “responsible AI” aligned with human and ethical values. Compared to sectors like energy, healthcare, or transportation, the use of AI-based techniques in the water domain is relatively modest....
journal article 2021
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Fisher, Michael (author), Mascardi, Viviana (author), Rozier, Kristin Yvonne (author), Schlingloff, Bernd-Holger (author), Winikof, Michael (author), Yorke-Smith, N. (author)
A computational system is called autonomous if it is able to make its own decisions, or take its own actions, without human supervision or control. The capability and spread of such systems have reached the point where they are beginning to touch much of everyday life. However, regulators grapple with how to deal with autonomous systems, for...
journal article 2021
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Martins Martinho Bessa, A.C. (author), Kroesen, M. (author), Chorus, C.G. (author)
Artificial Intelligence (AI) is moving towards the health space. It is generally acknowledged that, while there is great promise in the implementation of AI technologies in healthcare, it also raises important ethical issues. In this study we surveyed medical doctors based in The Netherlands, Portugal, and the U.S. from a diverse mix of medical...
journal article 2021
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Kuğuoğlu, B.K. (author), van der Voort, H.G. (author), Janssen, M.F.W.H.A. (author)
Despite the promise of AI and IoT, the efforts of many organizations at scaling smart city initiatives fall short. Organizations often start by exploring the potential with a proof-of-concept and a pilot project, with the process later grinding to a halt for various reasons. Pilot purgatory, in which organizations invest in small-scale...
journal article 2021
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Mitchell, Daniel (author), Blanche, Jamie (author), Zaki, Osama (author), Roe, Joshua (author), Kong, Leo (author), Harper, Samuel (author), Robu, Valentin (author), Lim, Theodore (author), Flynn, David (author)
To reduce Operation and Maintenance (OM) expenditure on offshore wind farms, wherein 80% of the cost relates to deploying personnel, the offshore wind sector looks to advances in Robotics and Artificial Intelligence (RAI) for solutions. Barriers to residential Beyond Visual Line of Sight (BVLOS) autonomy as a service, include operational...
journal article 2021
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Capasso, Marianna (author), Umbrello, S. (author)
Traditional medical practices and relationships are changing given the widespread adoption of AI-driven technologies across the various domains of health and healthcare. In many cases, these new technologies are not specific to the field of healthcare. Still, they are existent, ubiquitous, and commercially available systems upskilled to...
journal article 2021
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Antonopoulos, Ioannis (author), Robu, Valentin (author), Couraud, Benoit (author), Flynn, David (author)
Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids. This increased flexibility is required due to the growing proportion of intermittent renewable energy generation into the energy mix, and increasing complexity in demand profiles from the...
journal article 2021
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Vrolijk, J. (author), Blacquière, G. (author)
It is well known that source deghosting can best be applied to common-receiver gathers, whereas receiver deghosting can best be applied to common-shot records. The source-ghost wavefield observed in the common-shot domain contains the imprint of the subsurface, which complicates source deghosting in the common-shot domain, in particular when the...
journal article 2021
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Mariani, Elena (author), Kooijman, F.S.C. (author), Shah, P. (author), Stoimenova, N. (author)
Interactions of users with AI powered solutions (AIPS) have the potential to affect collective behaviours and amplify unanticipated outcomes. Product developers, organisations, and companies are increasingly being expected to take responsibility for the unanticipated outcomes of their products. In this paper we explore a proactive approach to...
journal article 2021
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Zuiderwijk-van Eijk, A.M.G. (author), Chen, Yu-Che (author), Salem, Fadi (author)
To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory,...
journal article 2021
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He, Q. (author), DU, F. (author), Simonse, LWL (author)
Background: In the context of the COVID-19 outbreak, 80% of the persons who are infected have mild symptoms and are required to self-recover at home. They have a strong demand for remote health care that, despite the great potential of artificial intelligence (AI), is not met by the current services of eHealth. Understanding the real needs of...
journal article 2021
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