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Training accurate and robust machine learning models requires a large amount of data that is usually scattered across data silos. Sharing, transferring, and centralizing the data from silos, however, is difficult due to current privacy regulations (e.g., H ...
Data-driven building energy modeling is an emerging solution to facilitate the implementation of energy-flexible buildings. However, its black-box nature hinders interpretation, including with respect to human-building interaction. This drawback may bring ...
With global environmental change and quality of life issues at the forefront of international discussions today, urban development strategies and policies are often framed around various sustainability or liveability goals. Regardless of the sustainability ...
This paper considers the problem of resilient distributed optimization and stochastic learning in a server-based architecture. The system comprises a server and multiple agents, where each agent has its own local cost function. The agents collaborate with ...
When developing or designing biomimetic robotic fingers with rigid and soft components and integrated sensors, fabrication is often a bottle-neck when assembling and casting processing techniques are used. This study introduces a thermoplastic multi-materi ...
Optimising the hydration of cementitious materials is crucial to leverage their full potential and avoid wasting resources, embodied energy and CO2. Understanding the fundamental mechanisms is key to reach these objectives. In this paper, we review progres ...
Natural light greatly impacts how a building is experienced by its occupants. It affects their well-being, notably from their health and biological clock perspectives, but also their perceived visual and thermal comfort, or their emotional response. If we ...
Energy geotechnology provides low carbon, cost-effective and local energy solu-tions to structures and infrastructures, which opens a new era for the geotechnical engineering practice, by extending the conventional role of structural design to the ...
Cotton fibers, a natural cellulose, have played a critical role in the development of wearable energy storage, owning to their wearability, integrability, eco-benignity, and cost effectiveness. Graphene, a two-dimensional carbon material, possesses excelle ...
In this thesis we design online combinatorial optimization algorithms for beyond worst-case analysis settings.In the first part, we discuss the online matching problem and prove that, in the edge arrival model, no online algorithm can achieve a competitive ...
