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Catégorie

Classement automatique

Publications associées (10)

Computation of sensitivity coefficients in fixed source simulations with SERPENT2

Andreas Pautz, Mathieu Hursin

Within the scope of the implementation of a nuclear data pipeline aiming at producing the best possible evaluated nuclear data files, a major point is the production of relevant sensitivity coefficients when including integral benchmark information. Thanks ...

Elsevier Science Sa2024

Review on Uric Acid Recognition by MOFs with a Future in Machine Learning

Shaswati Mandal

Uric acid (UA) is produced from purine metabolism and serves as a prevalent biomarker for multiple diseases including cancer. Hyperuricemia or hypouricemia can cause multiple dysfunctions throughout the biological processes. Consequently, there is a pressi ...

Amer Chemical Soc2023

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...

BioMed Central2023

Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction

Ian Smith, Sai Ganesh Sarvotham Pai

Structural identification using physics-based models and subsequent prediction have much potential to enhance civil infrastructure asset-management decision-making. Interpreting monitoring information in the presence of multiple uncertainty sources and sys ...

2021

Evaluating salient object detection in natural images with multiple objects having multi-level saliency

Sabine Süsstrunk, Gökhan Yildirim

Salient object detection is evaluated using binary ground truth (GT) with the labels being salient object class and background. In this study, the authors corroborate based on three subjective experiments on a novel image dataset that objects in natural im ...

2020

Imprecise Security: Quality and Complexity Tradeoffs for Hardware Information Flow Tracking

Paolo Ienne, Andrew James Becker

Secure hardware design is a challenging task that goes far beyond ensuring functional correctness. Important design properties such as non-interference cannot be verified on functional circuit models due to the lack of essential information (e.g., sensitiv ...

Assoc Computing Machinery2016

Embedding Local Quality Measures in Minutiae-Based Biometric Recognition

Mohammad Hamed Izadi

Degradation in data quality is still a main source of errors in the modern biometric recognition systems. However, the data quality can be embedded in the recognition methods at global and local levels to build more accurate biometric systems. Local qualit ...

EPFL2016

A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection

Alexandre Schmid, Mahsa Shoaran

Feature extraction from a multichannel compressed neural signal is introduced in this brief. Compressive sensing (CS) is an efficient method for reducing the transmission data rate of sparse biological signals and lowering the power consumption of resource ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Large-scale neural networks implemented with nonvolatile memory as the synaptic weight element: comparative performance analysis (accuracy, speed, and power)

Yusuf Leblebici, Irem Boybat Kara, Severin Sidler

We review our work towards achieving competitive performance (classification accuracies) for on chip machine learning (ML) of large scale artificial neural networks (ANN) using Non-Volatile Memory (NVM) based synapses, despite the inherent random and deter ...

2015

Computational studies on Escherichia coli metabolism : from constitutive bricks to large-scale behaviour

Stefano Andreozzi

Metabolic Engineering is fostered by an increasing effort and progress in the collection of large and accurate 'omics' datasets. The abundance of available measurements and advances in measurement techniques only alleviate to a certain extent the uncertai ...

EPFL2015