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Psyllidis, A. (author), Choiri, Hendra Hadhil (author)An understanding of how people perceive attractive or unattractive places in cities is vitally important to urban planning and policy making. Given the subjective nature of human perception and the ambiguous character of attractiveness as an attribute of urban places, it is challenging to quantify and reliably assess the extent to which a place...abstract 2018
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Averta, Giuseppe (author), Arapi, Visar (author), Bicchi, Antonio (author), Della Santina, C. (author), Bianchi, Matteo (author)The need for users’ safety and technology acceptability has incredibly increased with the deployment of co-bots physically interacting with humans in industrial settings, and for people assistance. A well-studied approach to meet these requirements is to ensure human-like robot motions and interactions. In this manuscript, we present a...book chapter 2021
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Liem, C.C.S. (author), Langer, Markus (author), Demetriou, A.M. (author), Hiemstra, Annemarie M.F. (author), Achmadnoer Sukma Wicaksana, Sukma (author), Born, Marise Ph. (author), König, Cornelis J. (author)In a rapidly digitizing world, machine learning algorithms are increasingly employed in scenarios that directly impact humans. This also is seen in job candidate screening. Data-driven candidate assessment is gaining interest, due to high scalability and more systematic assessment mechanisms. However, it will only be truly accepted and trusted...book chapter 2018
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Brosinsky, Christoph (author), Karaçelebi, M. (author), Cremer, Jochen (author)The reader of the chapter will be able to connect techniques from machine learning (ML) and digital twins (DTs) to gain insights for monitoring and control of (dynamic) security for electrical power systems. DTs are validated and verified high-fidelity (hf) models providing high simulation accuracy. DTs can be used for simulation of the...book chapter 2023
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Coraddu, A. (author), Kalikatzarakis, Miltiadis (author), Walker, J.M. (author), Ilardi, Davide (author), Oneto, Luca (author)The purpose of this chapter is to provide an overview of the state-of-the-art and future perspectives of Data Science and Advanced Analytics for Shipping Energy Systems. Specifically, we will start by listing the different static and dynamic data sources and knowledge base available in this particular context. Then we will review the Data...book chapter 2022
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Pacheco-López, Adrián (author), Prifti, Kristiano (author), Manenti, Flavio (author), Somoza Tornos, A. (author), Graells, Moisès (author), Espuña, Antonio (author)The constant development of new alternatives to treat waste aids in closing material loops towards the circular economy and improving sustainability through the use of new renewable materials and energy. This fact leads to the increasing need for decision-making tools for process synthesis and assessment, which can be addressed with an...book chapter 2023
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Nadeem, A. (author), Verwer, S.E. (author), Yang, Shanchieh Jay (author)The evolving nature of the tactics, techniques, and procedures used by cyber adversaries have made signature and template based methods of modeling adversary behavior almost infeasible. We are moving into an era of data-driven autonomous cyber defense agents that learn contextually meaningful adversary behaviors from observables. In this chapter...book chapter 2023
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Wilkinson, S. (author), Hanna, S. (author), Hesselgren, L. (author), Mueller, V. (author)A novel approach is presented to predict wind pressure on tall buildings for early-stage generative design exploration and optimisation. The method provides instantaneous surface pressure data, reducing performance feedback time whilst maintaining accuracy. This is achieved through the use of a machine learning algorithm trained on procedurally...conference paper 2013
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Poddighe, R. (author), Roos, N. (author)In this paper, two alternative methods to the Inverse Kinematics problem are compared to traditional methods regarding computation time, accuracy, and convergence rate. The test domain is the arm of the NAO humanoid robot. The results show that FABRIK, a heuristic iterative approximation algorithm outperforms the two traditional methods, which...conference paper 2013
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OUYANG, Boya (author), LI, Yuhai (author), SONG, Yu (author), WU, Feishu (author), YU, Huizi (author), WANG, Yongzhe (author), BAUCHY, Mathieu (author), SANT, Gaurav (author)Despite previous efforts to relate concrete proportioning and strength, a robust knowledgebased model for accurate concrete strength predictions is still lacking. As an alternative to physical or chemical-based models, machine learning (ML) methods offer a new solution to this problem. Although ML can handle the complex, non-linear, non-additive...conference paper 2021
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Khoshelham, K. (author), Nardinocchi, C. (author)This paper presents a learning Dempster-Shafer model for the detection of buildings in aerial image and range data. The process of evidence assignment in the Dempster-Shafer method is implemented through membership functions in an adaptive network-based fuzzy inference system, where a back propagation learning rule is employed to tune the...conference paper 2009
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Applis, L.H. (author), Panichella, A. (author), van Deursen, A. (author)Metamorphic testing is a well-established testing technique that has been successfully applied in various domains, including testing deep learning models to assess their robustness against data noise or malicious input. Currently, metamorphic testing approaches for machine learning (ML) models focused on image processing and object recognition...conference paper 2021
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Andreo, Guilherme Spinoza (author), Dardavesis, Ioannis (author), Jong, Michiel de (author), Kumar, Pratyush (author), Prihanggo, Maundri (author), Triantafyllou, Georgios (author), van der Vaart, C.G. (author), Verbree, E. (author)Indoor localisation methods are an essential part for the management of COVID-19 restrictions, social distancing, and the flow of people in the indoor environment. Moving towards an open work space in this scenario requires effective real-time localisation services and tools, along with a comprehensive understanding of the 3D indoor space. This...conference paper 2021
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Arous, Ines (author), Dolamic, Ljiljana (author), Yang, J. (author), Bhardwaj, Akansha (author), Cuccu, Giuseppe (author), Cudré-Mauroux, Philippe (author)Explainability is a key requirement for text classification in many application domains ranging from sentiment analysis to medical diagnosis or legal reviews. Existing methods often rely on "attention" mechanisms for explaining classification results by estimating the relative importance of input units. However, recent studies have shown that...conference paper 2021
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Hutiri, Wiebke (author), Ding, Aaron Yi (author)Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence. However, despite the maturity of machine learning systems and the IoT, we are facing severe challenges when integrating MLSys and IoT in practical context. For...conference paper 2020
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Saldaña Ochoa, Karla (author), Comes, M. (author)Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is finding shelter. While the proliferation of data on disasters is already helping to save lives, identifying...conference paper 2021
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Rózsás, Árpád (author), Slobbe, Arthur (author), Huizinga, Wyke (author), Kruithof, Maarten (author), Giardina, Giorgia (author)The degree of similarity between damage patterns often correlates with the likelihood of having similar damage causes. Therefore, deciding whether crack patterns are similar is one of the key steps in assessing the conditions of masonry structures. To our knowledge, no literature has been published regarding masonry crack pattern similarity...conference paper 2021
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Domazetovska, Simona (author), Gavriloski, Viktor (author), Jovanova, J. (author)The artificial intelligence (AI) field has encountered a turning point mainly due to advancements in machine learning, which allows systems to learn, improve, and perform a specific task through data without being explicitly programmed. Machine learning can be utilized with machining processes to improve product quality levels and...conference paper 2021
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Hajee, Bram (author), Wisse, Kees (author), Mohajerin Esfahani, P. (author)Multi-sensor networks are becoming more and more popular in order to assess the post-occupancy performance of smart buildings, since they enable continuous monitoring with a high spatial resolution of the occupancy, thermal comfort and indoor air quality. An urgent, but poorly attended topic in this field is the automated detection of sensor...conference paper 2022
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Wang, Z. (author), Pel, A.J. (author), Verma, T. (author), Krishnakumari, P.K. (author), van Brakel, Peter (author), van Oort, N. (author)Predictions on public transport ridership are beneficial as they allow for sufficient and cost-efficient deployment of vehicles. At an operational level, this relates to short-term predictions with lead times of less than an hour. Where conventional data sources on ridership, such as Automatic Fare Collection (AFC) data, may have longer lag...conference paper 2022