Search Results for author: Mario Bergés

Found 5 papers, 1 papers with code

Unmasking the Role of Remote Sensors in Comfort, Energy and Demand Response

no code implementations19 Apr 2024 Ozan Baris Mulayim, Edson Severnini, Mario Bergés

Lastly, it became evident that the consumption of cooling energy escalates with the increase in the number of sensors, whereas heating usage experiences fluctuations ranging from -19% to +25% This study serves as a benchmark for assessing the thermal comfort and DR services in the existing housing stock, while also highlighting the energy efficiency impacts of sensing technologies.

State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin Technologies

no code implementations13 Nov 2023 Sizhe Ma, Katherine A. Flanigan, Mario Bergés

Second, we conduct a thorough literature review spanning fields to determine the ways in which these IRs and FRs are currently being used within DTs, enabling us to point to the specific areas where further research is warranted to support the progress and maturation of requirement-based PMx DTs.

HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis

1 code implementation23 Jul 2021 Jingxiao Liu, Susu Xu, Mario Bergés, Hae Young Noh

Monitoring bridge health using vibrations of drive-by vehicles has various benefits, such as no need for directly installing and maintaining sensors on the bridge.

Unsupervised Domain Adaptation

Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning

no code implementations5 Jun 2020 Jingxiao Liu, Mario Bergés, Jacobo Bielak, Hae Young Noh

Specifically, we train a deep network in an adversarial way to learn features that are 1) sensitive to damage and 2) invariant to different bridges.

Multi-Task Learning

Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization

no code implementations25 May 2020 Alan Mazankiewicz, Klemens Böhm, Mario Bergés

Previous work has addressed this challenge by personalizing general recognition models to the unique motion pattern of a new user in a static batch setting.

Human Activity Recognition Online Domain Adaptation

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