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Obstacle avoidance and trajectory optimisation for an autonomous vessel utilising MILP path planning, computer vision based perception and feedback control

Garofano, V. (author), Hepworth, M. (author), Shahin, R. (author), Pang, Y. (author), Negenborn, R.R. (author)

In this study, we investigated autonomous vessel obstacle avoidance using advanced techniques within the Guidance, Navigation, and Control (GNC) framework. We propose a Mixed Integer Linear Programming (MILP) based Guidance system for robust path planning avoiding static and dynamic obstacles. For Navigation, we suggest a multi-modal neural...

journal article 2024

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Retrosynthetic Life Cycle Assessment: A Short Perspective on the Sustainability of Integrating Thermoplastics and Artificial Intelligence Into Composite Systems

Yaghoubi Nasrabadi, V. (author), Kumru, B. (author)

Over the past 30 years, the polymer composite industry has flourished, producing advanced structural materials for the aviation, energy, and transportation sectors. However, the use of crosslinked thermoset matrices has been linked to significant end-of-life challenges, presenting a critical issue for the industry. Moreover, the industry is...

journal article 2024

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Advancing river monitoring using image-based techniques: challenges and opportunities

Manfreda, Salvatore (author), Miglino, Domenico (author), Saddi, Khim Cathleen (author), Jomaa, Seifeddine (author), Eltner, Anette (author), Perks, Matthew (author), Peña-Haro, Salvador (author), Bogaard, T.A. (author), van Emmerik, Tim H.M. (author)

Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes in a rapidly changing world. Within this context, image-based river monitoring has been shown to significantly enhance data collection, improve analysis and accuracy, and support effective and timely decision making. The integration of...

journal article 2024

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Tracing Class and Capitalism in Critical AI Research

Ericson, Petter (author), Dobbe, R.I.J. (author), Lindgren, Simon (author)

This article explores the rapidly developing field of Critical AI Studies and its relation to issues of class and capitalism through a hybrid approach based on distant reading of a newly collected corpus of 300 full-text scientific articles, the creation of which is itself a first attempt at properly delineating the field. We find that words...

journal article 2024

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A Proof-of-Concept of an Integrated VR and AI Application to Develop Classroom Management Competencies in Teachers in Training

Docter, M.W. (author), de Vries, T.N.D. (author), Nguyen, H.D. (author), van Keulen, J. (author)

We designed an interactive virtual reality (VR) application to provide a controlled and yet unpredictable environment for the development of classroom management skills. The simulated environment allows teachers in training to interact with virtual students in realistic and meaningful ways. The VR application allows rich verbal interaction by...

journal article 2024

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Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices

Mohammed, Musaab A. A. (author), Kaya, Fuat (author), Mohamed, Ahmed (author), Alarifi, Saad S. (author), Abdelrady, Ahmed (author), Keshavarzi, Ali (author), Szabó, Norbert P. (author), Szűcs, Péter (author)

Agriculture is considered one of the primary elements for socioeconomic stability in most parts of Sudan. Consequently, the irrigation water should be properly managed to achieve sustainable crop yield and soil fertility. This research aims to predict the irrigation indices of sodium adsorption ratio (SAR), sodium percentage (Na%), permeability...

journal article 2023

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The Dodecahedron and the Basket of Fruit: Architecture in the Age of Artificial Intelligence

Corbo, S. (author)

Starting from the late 1980s, the advent of digital design—the possibility to ideate, develop, and generate projects via computers—has progressively pushed the disciplinary discourse to rethink architecture’s role in society, as well as its formal manifestations. The contemporary evolution of digital architecture has taken different directions,...

journal article 2023

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Advancing deep learning-based detection of floating litter using a novel open dataset

Jia, T. (author), Vallendar, A.J. (author), de Vries, Rinze (author), Kapelan, Z. (author), Taormina, R. (author)

Supervised Deep Learning (DL) methods have shown promise in monitoring the floating litter in rivers and urban canals but further advancements are hard to obtain due to the limited availability of relevant labeled data. To address this challenge, researchers often utilize techniques such as transfer learning (TL) and data augmentation (DA)....

journal article 2023

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Explainable Artificial Intelligence to Investigate the Contribution of Design Variables to the Static Characteristics of Bistable Composite Laminates

Saberi, Saeid (author), Nasiri, Hamid (author), Ghorbani, Omid (author), Friswell, Michael I. (author), Castro, Saullo G.P. (author)

Material properties, geometrical dimensions, and environmental conditions can greatly influence the characteristics of bistable composite laminates. In the current work, to understand how each input feature contributes to the curvatures of the stable equilibrium shapes of bistable laminates and the snap-through force to change these...

journal article 2023

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Toward automatic generation of control structures for process flow diagrams with large language models

Hirtreiter, E.J. (author), Schulze Balhorn, L. (author), Schweidtmann, A.M. (author)

Developing Piping and Instrumentation Diagrams (P&IDs) is a crucial step during process development. We propose a data-driven method for the prediction of control structures. Our methodology is inspired by end-to-end transformer-based human language translation models. We cast the control structure prediction as a translation task where...

journal article 2023

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A framework for designing AI systems that support community wellbeing

van der Maden, W.L.A. (author), Lomas, J.D. (author), Hekkert, P.P.M. (author)

Introduction: Designing artificial intelligence (AI) to support health and wellbeing is an important and broad challenge for technologists, designers, and policymakers. Drawing upon theories of AI and cybernetics, this article offers a design framework for designing intelligent systems to optimize human wellbeing. We focus on the production...

journal article 2023

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Assessing the performances and transferability of graph neural network metamodels for water distribution systems

Kerimov, B. (author), Bentivoglio, Roberto (author), Garzón Díaz, J.A. (author), Isufi, E. (author), Tscheikner-Gratl, Franz (author), Steffelbauer, David Bernhard (author), Taormina, R. (author)

Metamodels accurately reproduce the output of physics-based hydraulic models with a significant reduction in simulation times. They are widely employed in water distribution system (WDS) analysis since they enable computationally expensive applications in the design, control, and optimisation of water networks. Recent machine-learning-based...

journal article 2023

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Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings

Oyibo, P.O. (author), Jujjavarapu, S. (author), Meulah, Brice (author), Agbana, T.E. (author), Braakman, I.G. (author), van Diepen, Angela (author), Bengtson, M.L. (author), van Lieshout, Lisette (author), Andi, Wellington Oyibo (author), Vdovin, Gleb (author), Diehl, J.C. (author)

For many parasitic diseases, the microscopic examination of clinical samples such as urine and stool still serves as the diagnostic reference standard, primarily because microscopes are accessible and cost-effective. However, conventional microscopy is laborious, requires highly skilled personnel, and is highly subjective. Requirements for...

journal article 2022

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Adaptive Intrusion Detection in Edge Computing Using Cerebellar Model Articulation Controller and Spline Fit

Kumar, Gulshan (author), Saha, Rahul (author), Conti, M. (author), Thomas, Reji (author), Devgun, Tannishtha (author), Rodrigues, Joel J.P.C. (author)

Internet-of-Thing (IoT) faces various security attacks. Different solutions exist to mitigate the intrusion problems. However, the existing solutions lack behind in dealing with heterogeneity of attack sources and features. The future anticipated demand of devices' connections also urge the need of new solutions addressing the concerns of...

journal article 2022

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Balancing fraud analytics with legal requirements: Governance practices and trade-offs in public administrations

Simonofski, Anthony (author), Tombal, Thomas (author), De Terwangne, Cécile (author), Willem, Pauline (author), Frenay, Benoît (author), Janssen, M.F.W.H.A. (author)

Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but...

journal article 2022

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Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective

Razavi, Saman (author), Hannah, David M. (author), Elshorbagy, Amin (author), Kumar, Sujay (author), Marshall, Lucy (author), Solomatine, D.P. (author), Dezfuli, Amin (author), Sadegh, Mojtaba (author), Famiglietti, James (author)

Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support....

journal article 2022

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Feasibility and validity of a single camera CNN driven musculoskeletal model for muscle force estimation during upper extremity strength exercises: Proof-of-concept

Noteboom, L. (author), Hoozemans, Marco J.M. (author), Veeger, H.E.J. (author), van der Helm, F.C.T. (author)

Muscle force analysis can be essential for injury risk estimation and performance enhancement in sports like strength training. However, current methods to record muscle forces including electromyography or marker-based measurements combined with a musculoskeletal model are time-consuming and restrict the athlete's natural movement due to...

journal article 2022

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Environmentally sustainable development and use of artificial intelligence in health care

Richie, C.S. (author)

Artificial intelligence (AI) can transform health care by delivering medical services to underserved areas, while also filling gaps in health care provider availability. However, AI may also lead to patient harm due to fatal glitches in robotic surgery, bias in diagnosis, or dangerous recommendations. Despite concerns ethicists have identified...

journal article 2022

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Flowsheet generation through hierarchical reinforcement learning and graph neural networks

Stops, L. (author), Leenhouts, Roel (author), Gao, Q. (author), Schweidtmann, A.M. (author)

Process synthesis experiences a disruptive transformation accelerated by artificial intelligence. We propose a reinforcement learning algorithm for chemical process design based on a state-of-the-art actor-critic logic. Our proposed algorithm represents chemical processes as graphs and uses graph convolutional neural networks to learn from...

journal article 2022

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Real-time transmission switching with neural networks

Bugaje, A.-.A.B. (author), Cremer, Jochen (author), Strbac, Goran (author)

The classical formulation of the transmission switching problem as a mixed-integer problem is intractable for large systems in real-time control settings. Several heuristics have been proposed in the past to speed up the computation time, which only limits the number of switchable lines. In this paper, a real-time switching heuristic based on...

journal article 2022