Buscador de Tesis y publicaciones académicas

Artículo 2027 Acceso abierto Revisado por pares

The living forecast: Evolving day-ahead predictions into intraday reality

Kutay Bölat · Peter Palensky · Simon H. Tindemans

Accurate intraday forecasts are essential for power system operations, complementing day-ahead forecasts that gradually lose relevance as new information becomes available. This paper introduces a Bayesian updating mechanism that converts fully probabilistic day-ahead forecasts into intraday forecasts without retrainin...

Machine Learning FOS: Computer and information sciences Applications Applications (stat.AP)

• Elsevier BV
• English
• DOI: 10.1016/j.epsr.2026.113532

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Conjunto de datos 2027 Acceso abierto

Unlocking the formation mechanims of SBA-15 in the presence of silanes and ammonium salts

Valentina GUERRERO FLOREZ · Lina ROGSTRÖM · Emma BJÖRK · Rintaro TAKAHASHI · y 1 más

Ordered mesoporous silica, such as SBA-15, are versatile materials for e.g. drug delivery. The materials are synthesized in a sol-gel process, where micelles evolve from spheres to cylinders, and arranges in a hexagonal structure while a silica network is arranging cooperatively around them. We will investigate how the...

PaN Chemistry ID02 x-ray probe

• ESRF (European Synchrotron Radiation Facility...
• English
• DOI: 10.15151/esrf-es-1691830505

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Artículo 2027 Acceso abierto Revisado por pares 1 cita

Expectation-maximization for structure determination directly from Cryo-EM micrographs

Kreymer, Shay · Singer, Amit · Bendory, Tamir

A single-particle cryo-electron microscopy (cryo-EM) measurement, called a micrograph, consists of multiple two-dimensional tomographic projections of a three-dimensional (3-D) molecular structure at unknown locations, taken under unknown viewing directions. All existing cryo-EM algorithmic pipelines first locate and e...

basic medicine Signal Processing (eess.SP) medical and health sciences FOS: Biological sciences

• American Institute of Mathematical Sciences (...
• DOI: 10.3934/ipi.2026033

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Artículo 2027 Acceso abierto Revisado por pares

Forbidden configurations for coherency

Gould, Victoria · Johnson, Marianne

Right (and left) coherency and right (and left) weak coherency are natural finitary conditions for monoids. Determining whether or not a given monoid has any of these properties is historically a difficult problem. This paper has several aims, centering around the well-studied class of right (and dually left) $E$-Ehres...

Rings and Algebras Rings and Algebras (math.RA) Group Theory FOS: Mathematics

• Elsevier BV
• United Kingdom
• English
• DOI: 10.1016/j.jalgebra.2026.05.016

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Artículo 2027 Acceso abierto Revisado por pares

Social welfare optimisation under institutional reward and punishment

Van An Nguyen · Vuong Khang Huynh · Huu Loi Bui · Hai Anh Ha · y 7 más

Institutional incentives are widely used to promote cooperation among autonomous, self-regarding agents, from human societies to multi-agent and AI systems. Existing work typically treats incentive design as a bi-objective problem: minimise institutional cost while achieving a high long-run frequency of cooperation. Wh...

Computer Science and Game Theory FOS: Computer and information sciences Artificial Intelligence (cs.AI) Artificial Intelligence

• Elsevier BV
• English
• DOI: 10.1016/j.amc.2026.130268

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Conjunto de datos 2027 Acceso abierto

HUB Proposal: Human Organ Atlas Hub (HOAHub)

Paul TAFFOREAU · Theresa URBAN · Claire WALSH · Jenna SCHARDT · y 9 más

This HOAHub will create a physical and virtual Hub which uses HiP-CT to scan whole human organs with local cellular resolution, producing a “Human Organ Atlas in Health and Disease”. It will bridge clinical imaging (centimetre scale) to molecular modalities (nanometer scale), providing unprecedented insights into our b...

PaN x-ray probe Particles, Nuclei and Fields Medicine

• ESRF (European Synchrotron Radiation Facility...
• English
• DOI: 10.15151/esrf-es-1424922642

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Artículo 2027 Acceso abierto Revisado por pares

A two-way multi-fidelity coupling approach combining Boussinesq and Navier–Stokes models

Bergmann, Michel · Bosi, Umberto · Parisot, Martin

This paper presents a novel approach for coupling a high-fidelity Navier-Stokes model with an asymptotic Boussinesq-type model. The proposed methodology aims to enhance the design and performance of wave energy converters, thereby supporting the broader integration of wave energy in addressing climate change and energy...

Waves/structure interactions Coupling models [SDE.IE] Environmental Sciences/Environmental Engineering [MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]

• Elsevier BV
• France
• English
• DOI: 10.1016/j.coastaleng.2026.105150

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Artículo 2027 Acceso abierto Revisado por pares

Probabilistic multicategory forecasting of defect progression

Albert Skovgaard Bisgaard · Marcel Solé Àvila · Steven Harrod · Jan Kloppenborg Møller · y 1 más

Defects can be both costly and safety-critical in infrastructure operations. This study develops a probabilistic framework to predict defect progression based on severity classifications. This is done in the context of defect records from a large-scale railway network, modeled with Markov jump processes. Model extensio...

Optimum score estimation Probabilistic scoring rules Probabilistic forecasting Stochastic optimization

• Elsevier BV
• Denmark
• English
• DOI: 10.1016/j.ress.2026.113002

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Artículo 2027 Acceso abierto Revisado por pares

Hyperspectral super-resolution with inter-image variability via degradation-based low-rank and residual fusion method

Yue Wen · Kunjing Yang · Minru Bai

The fusion of hyperspectral image (HSI) with multispectral image (MSI) provides an effective way to enhance the spatial resolution of HSI. However, due to different acquisition conditions, there may exist spectral variability and spatially localized changes between HSI and MSI, referred to as inter-image variability, w...

FOS: Computer and information sciences Computer Vision and Pattern Recognition (cs.CV) engineering and technology Computer Vision and Pattern Recognition

• American Institute of Mathematical Sciences (...
• DOI: 10.3934/ipi.2026037

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Artículo 2027 Acceso abierto Revisado por pares 11 citas

BGA: A noise-immune neural distillation framework for malicious signature extraction in high-entropy encrypted flows

Sheng Hong · Yixuan Huang · Weiwei Jiang · Junyuan Zhang · y 2 más

To mitigate attention dilution in high-entropy TLS 1.3 flows, we propose BGA, a noise-immune neural distillation framework for encrypted threat intelligence.The methodology first employs Analysis of Variance (ANOVA) to decouple high-discriminatory control-plane features - specifically industrial setpoints - from stocha...

FOS: Computer and information sciences Artificial Intelligence (cs.AI) Cryptography and Security Artificial Intelligence

• Elsevier BV
• English
• DOI: 10.1016/j.ipm.2026.105040

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