Publications associées à Building resilience in high-tech supply chains

Publications associées (25)

Verification of deflections and cracking of RC flat slabs with numerical and analytical approaches

The Serviceability Limit States (SLS) of reinforced concrete structures, where cracking and deflection limits are verified in the design process, are directly related to time-dependent properties of concrete. In this study, the effects of creep and shrinka ...

ELSEVIER SCI LTD2023

A Discussion on the Reliability of prEN1992-1-1:2021 Shear Strength Provisions for Fibre Reinforced Concrete Members Without Shear Reinforcement

Miguel Fernández Ruiz

The Eurocode 2 for the design of concrete structures (EN1992-1-1:2004) is undergoing a revision that will lead to the publication of the second generation of this code to be used across all CEN member countries. Therefore, the impact of the code will reach ...

SPRINGER INTERNATIONAL PUBLISHING AG2023

Privatized graph federated learning

Ali H. Sayed, Stefan Vlaski, Elsa Rizk

Federated learning is a semi-distributed algorithm, where a server communicates with multiple dispersed clients to learn a global model. The federated architecture is not robust and is sensitive to communication and computational overloads due to its one-m ...

SPRINGER2023

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Silvestro Micera, Simone Romeni

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon ...

IOP Publishing Ltd2023

Unlocking Hidden Potential: Exploring the Complexities of Signaling in Immune Cell Activation to Optimize CAR Therapy

Mathieu Girardin

Chimeric antigen receptors (CARs) are synthetic, transmembrane proteins that trigger immune cell signaling following their engagement. They have been first utilized in T cells and later in natural killer (NK) cells to redirect their cytotoxicity toward a s ...

EPFL2023

Adversarial-Free Speaker Identity-Invariant Representation Learning for Automatic Dysarthric Speech Classification

Ina Kodrasi

Speech representations which are robust to pathology-unrelated cues such as speaker identity information have been shown to be advantageous for automatic dysarthric speech classification. A recently proposed technique to learn speaker identity-invariant re ...

ISCA-INT SPEECH COMMUNICATION ASSOC2022

Engineering of Existing Structures: The Need and Place for Non-destructive Evaluation

Guillaume Justin Henriques, Eugen Brühwiler, Numa Joy Bertola, Thomas Schumacher

Structural engineers today are still educated mainly to design new structures. This ignores the fact that structures already exist and need to be maintained. Students are thus often ill-equipped to deal with maintenance and preservation of existing structu ...

2022

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

Javier Alejandro Maroto Morales

Anomaly Detection systems based on Machine and Deep learning are the most promising solutions to detect cyberattacks in the industry. However, these techniques are vulnerable to adversarial attacks that downgrade prediction performance. Several techniques ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

How Rough Is the Path? Terrain Traversability Estimation for Local and Global Path Planning

Tobias Löw

Perception and interpretation of the terrain is essential for robot navigation, particularly in off-road areas, where terrain characteristics can be highly variable. When planning a path, features such as the terrain gradient and roughness should be consid ...

IEEE Institute of Electrical and Electronics Engineers2022

Low-Level Physiological Implications of End-to-End Learning of Speech Recognition

Philip Neil Garner

Current speech recognition architectures perform very well from the point of view of machine learning, hence user interaction. This suggests that they are emulating the human biological system well. We investigate whether the inference can be inverted to p ...

ISCA-INT SPEECH COMMUNICATION ASSOC2022

Optimizing Lattice-based Post-Quantum Cryptography Codes for High-Level Synthesis

Francesco Regazzoni, Andrea Guerrieri, Andres Upegui

High-level synthesis is a mature Electronics Design Automation (EDA) technology for building hardware design in a short time. It produces automatically HDL code for FPGAs out of C/C++, bridging the gap from algorithm to hardware. Nevertheless, sometimes th ...

IEEE2022

A parametric study on pool boiling heat transfer and critical heat flux on structured surfaces with artificial cavities

Luis Guillermo Villanueva Torrijo

Emerging applications in new generation electronic devices require effective heat removal and thermal man-agement. In this regard, boiling is a phase change phenomenon capable of dissipating a large amount of heat compared to the sensible heat. In this stu ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Artificial Intelligence Based Methods for Smart and Sustainable Urban Planning: A Systematic Survey

Jérôme Chenal

The world's cities are facing various challenges such as rapid urbanization, poverty, climate change, pollution, sustainable and inclusive development. Building futuristic smart and sustainable cities is proving to be a response to these challenges. Recent ...

SPRINGER2022

Study of Donor-like Surface Trap Emission in GaN HEMTs

Farzan Jazaeri

Gate-lag induced trapping effects due to donor-like surface traps located in the access regions between the electrodes of AlGaN/GaN HEMTs are investigated through TCAD transient simulations. The effects of variation in trap energy level and temperature on ...

IEEE2021

Online Battery Storage Management via Lyapunov Optimization in Active Distribution Grids

Jean-Yves Le Boudec, Cong Wang, Eleni Stai

We consider low run-time complexity power management in distribution grids with renewable energy sources (RESs) and batteries, where forecasts are unavailable. We propose iterative Lyapunov Real-time Control (iLypRC), a fast online algorithm, which does no ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Reactive Exercises with Interactive Objects: Interim Analysis of a Randomized Trial on Task-Driven NMES Grasp Rehabilitation for Subacute and Early Chronic Stroke Patients

Silvestro Micera, Ivan Furfaro, Andrea Crema, Flavio Raschella

Enriched environments and tools are believed to promote grasp rehabilitation after stroke. We designed S2, an interactive grasp rehabilitation system consisting of smart objects, custom orthoses for selective grasp constraining, and an electrode array syst ...

MDPI2021

Wastewater-Based Epidemiology: Global Collaborative to Maximize Contributions in the Fight Against COVID-19

Krista Rule Wigginton, Xavier Fernandez Cassi

2020

Thermomechanical characterization of a balsa-wood-veneer structural sandwich core material at elevated temperatures

Thomas Keller, Anastasios Vassilopoulos, Niloufar Vahedi

The tensile, compressive and shear behavior of standardized specimens cut from a veneered balsa wood used as structural sandwich core was investigated at ambient temperatures of up to 250 degrees C. The average moisture content was 9.1%. The specimens' res ...

ELSEVIER SCI LTD2020

Direct FEM-Domain Decomposition Using Convex-to-Concave Spherical Ports for Space Applications

Juan Ramon Mosig, Javier Rubio, Pedro Robustillo Bayon

This letter proposes the application of a hybrid numerical technique to two cases of interest in the space business: the reallocation of radiators and scatters on satellite platforms; and the analysis of antennas for mobile communications. It is based on t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Improving visible light photocatalytic inactivation of E. coli by inducing highly efficient radical pathways through peroxymonosulfate activation using 3-D, surface-enhanced, reduced graphene oxide (rGO) aerogels

César Pulgarin, Stefanos Giannakis

In this work, we synthesized highly porous reduced graphene oxide foams, presenting augmented antibacterial activity in presence/absence of peroxymonosulfate (PMS). To date, this is the first investigation of photocatalytic PMS disinfection by 3D-rGO mater ...

ELSEVIER SCIENCE SA2020