Buscador de Tesis y publicaciones académicas

Graph-based fraud detection with dual-path graph filtering

Wei He · Wensheng Gan · Philip S. Yu

Fraud detection on graph data can be viewed as a demanding task that requires distinguishing between different types of nodes. Because graph neural networks (GNNs) are naturally suited for processing information encoded in graph form through their message-passing operations, methods based on GNN models have increasingl...

Twisted triple product p-adic L-function for finite slope families of Hilbert modular forms

Ananyo Kazi

Let $L$ be a totally real field, and $p$ be a rational prime that is unramified in $L$. We construct overconvergent families of classes of relative de Rham cohomology of the universal abelian scheme over Hilbert modular varieties associated to $L$. We show that these classes come equipped with Gauss-Manin connection. W...

HVPNet: A bio-inspired network for general salient and camouflaged object detection

Jiawei Xu · Qiangqiang Zhou · Zhouping Li · Yanjiao Shi · y 2 más

In recent years, most research on multimodal salient object detection (SOD) and camouflaged object detection (COD) typically aims to improve performance through complex cross-modal feature fusion and decoding structures. However, this approach leads to an excessively large model parameter scale and often fails to deliv...

Study of Cr in meteorites

Olivier PROUX · Isabelle MAURIN

A cyber-resilient framework for detection and identification of false data injection attacks in PV plants

Rodríguez del Nozal, Álvaro · Gómez Quiles, Catalina · MAURICIO, JUAN MANUEL · ROMERO-RAMOS, ESTHER · y 1 más

The increasing digitalization of renewable energy resources, particularly through Power Plant Controllers (PPCs), has introduced significant cyber-vulnerabilities. False Data Injection Attacks (FDIAs) represent a severe threat to these systems, as they can mislead PPC control actions and result in equipment disconnecti...

One-year clinical and radiographic outcomes of alveolar bone regeneration using 3D-printed β-tricalcium phosphate biomaterials for single implant rehabilitation: A retrospective study

Carlo Mangano · Henriette Lerner · Adem Aksu · Frank Reinauer · y 1 más

To evaluate the one-year clinical and radiographic outcomes of single implant rehabilitation performed following alveolar ridge regeneration using 3D-printed β-tricalcium phosphate (β-TCP) biomaterials applied according to three different regenerative protocols.Thirty consecutive patients requiring localized alveolar r...

Q-dependence of the fast secondary relaxation in metallic glass-formers during the liquid-to-glass transition

Irene FESTI · Yuriy CHUSHKIN · Ziqiang CHEN · Rim DANNAOUI · y 4 más

During a recent XPCS beamtime at DESY we probed the dynamical response of a metallic glass (MG) of Zr46.8Ti8.2Cu7.5Ni10Be27.5 (vit4) and we obtained the first experimental evidence of a fast secondary beta-relaxation process in a glass, prior to the main structural relaxation which results in a double decay of the inte...

Time-resolved structural response to light of the full-length carH protein from Thermus thermophilus

Matteo LEVANTINO · Ronald RIOS SANTACRUZ · Giorgio SCHIRO · Kévin POUNOT

The protein carH associates with the B12 vitamin, (AdoCbl), to form a light-sensitive gene repressor in bacteria. CarH is composed of a chromophore binding domain (CBD) and a DNA binding domain (DBD). In dark state, the protein forms a stable tetramer. Upon light exposure, the H132 residue of carH binds to the cobalt a...

High energy characterization of interface for quantum applications

Ajay AJAY · Valentin VINCI · Jakub DRNEC · Olvido IRRAZABAL MOREDA · y 1 más

We will use the new set of lenses to focus the beam to submicron size and then perform the novel High-Enrgy X-Ray Reflectivity Tomography on different sample

Quantifying uncertainty in void swelling prediction: A conformal prediction framework for reactor safety margins

Minhee Kim · Yong Yang

Irradiation-induced void swelling is a critical degradation mechanism for structural materials in nuclear reactors, dictating component operational lifespan and safety. While recent machine learning (ML) approaches have improved the accuracy of swelling rate predictions, they often fail to account for the inherent stoc...