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The Decision Aids for Tunneling are a very powerful tool in assisting decision makers. They have been developed and applied over decades. As popular as they have become in big tunneling projects, they remain complicated and less used for small tunnels. The ...
The Decision Aids for Tunneling are a very powerful tool in assisting decision makers. They have been developed and applied over decades. As popular as they have become in big tunneling projects, they remain complicated and less used for small tunnels. The ...
The study consists of two interrelated parts. In the first part, we aim to identify the best predictive model of day-ahead electricity prices. In particular, we verify the existence of a dependence of the spot price on power generation and variable costs o ...
We present a detailed computation of the cyclic and the Hochschild homology and cohomology of generic and 3-Calabi–Yau homogeneous down–up algebras. This family was defined by Benkart and Roby in [3] in their study of differential posets. Our calculations ...
This paper presents a distributed maneuver planner for connected automated vehicles (CAVs) built upon the idea of CAVs being able to explicitly share their intentions by creating virtual vehicles (Us) on the targeted traffic stream. Specifically, this work ...
Ce projet collaboratif entre chercheurs académiques et partenaires industriels vise le développement d’une méthode d’aide à la décision dans la planification urbaine. Appliquée sur le projet de quartier blueFactory à Fribourg, et mise en œuvre sous forme d ...
Biased decision making by machine learning systems is increasingly recognized as an important issue. Recently, techniques have been proposed to learn non-discriminatory classifiers by enforcing constraints in the training phase. Such constraints are either ...
This paper proposes a nonmodel-based framework for estimating story-based engineering demand parameters (EDPs) in instrumented steel frame buildings with steel moment-resisting frames (MRFs). The proposed framework utilizes a wavelet-based damage-sensitive ...
Classical distillation methods transfer representations from a “teacher” neural network to a “student” network by matching their output activations. Recent methods also match the Jacobians, or the gradient of output activations with the input. However, thi ...
In this paper, we evaluate the recent developments of European climate policy from the perspective of the 2050 European commitments with regards to GHG emissions reduction. We use a non-cooperative meta-game approach for assessing European burden-sharing i ...
