Publications related to Characterization of Real-World Power System Signals in Non-Stationary Conditions using a Dictionary Approach

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Diffusion-based generative methods have proven effective in modeling trajectories with offline datasets. However, they often face computational challenges and can falter in generalization, especially in capturing temporal abstractions for long- horizon tas ...

2024

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Ardemis Anoush Boghossian, Yahya Rabbani, Shang-Jung Wu, Vitalijs Zubkovs, Sayyed Hashem Sajjadi

Conventional techniques for purifying macromolecular conjugates often require complex and costly installments that are inaccessible to most laboratories. In this work, we develop a one-step micropreparative method based on a trilayered polyacrylamide gel e ...

2024

Electromagnetic time reversal for online partial discharge location in power cables: Influence of interfering reflections from grid components

Marcos Rubinstein, Farhad Rachidi-Haeri

In online single-sided partial discharge (PD) location, the measured PD reflection patterns are affected by the characteristics of all the components of the associated power network. This paper analyses the performance of a PD location method based on elec ...

2024

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Alfio Quarteroni, Andrea Manzoni

In this paper, we propose a reduced-order modeling strategy for two-way Dirichlet-Neumann parametric coupled problems solved with domain-decomposition (DD) sub-structuring methods. We split the original coupled differential problem into two sub-problems wi ...

New York2024

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Keyvan Farhang Razi

Epilepsy is a common chronic neurological disorder that causes recurring seizures and affects more than 50 million people worldwide. Implantable medical devices (IMDs) are regarded as effective tools to cure patients who suffer from refractory epilepsy. Se ...

EPFL2023

Vibrational NDT with Under-sampled Data through Physics-informed Neural Networks

Olga Fink

The vibrational response of solid materials and structural components is substantially governed by their mechanical and geometrical properties. Low-frequency vibrations and modal frequencies are sensitive to global geometrical deviations, while high-freque ...

2023

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.

Anna Mary Mc Cann

Atrial fibrillation (AF) is the most common cardiac arrhythmia; it will affect one in four adults worldwide in their lifetime. AF has serious consequences, including drastically increased risk of stroke. Catheter ablation surgery is an established treatmen ...

EPFL2023

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis

Yves Perriard, Yoan René Cyrille Civet, Thomas Guillaume Martinez, Stefania Maria Aliki Konstantinidi, Armando Matthieu Walter, Amine Benouhiba

Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his mimic musculature on one or both sides of his face. This condition compromises the patient's communication and facial expressions, and thus dramatically reduce ...

2023

A Visionary Look at the Security of Reconfigurable Cloud Computing

Francesco Regazzoni, Mirjana Stojilovic

Field-programmable gate arrays (FPGAs) have become critical components in many cloud computing platforms. These devices possess the fine-grained parallelism and specialization needed to accelerate applications ranging from machine learning to networking an ...

2023

Characterization of Real-World Power System Signals in Non-Stationary Conditions using a Dictionary Approach

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SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Electromagnetic time reversal for online partial discharge location in power cables: Influence of interfering reflections from grid components

Efficient Continual Finite-Sum Minimization

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Vibrational NDT with Under-sampled Data through Physics-informed Neural Networks

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis

A Visionary Look at the Security of Reconfigurable Cloud Computing

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Efficient Continual Finite-Sum Minimization

A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces

Electromagnetic time reversal for online partial discharge location in power cables: Influence of interfering reflections from grid components

Vibrational NDT with Under-sampled Data through Physics-informed Neural Networks

A Visionary Look at the Security of Reconfigurable Cloud Computing

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis

Hardware Implementation of Digital Signal Processing Algorithms for Programmable Epilepsy Control Systems

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation.