Buscador de Tesis y publicaciones académicas

Artículo 2027 Acceso abierto Revisado por pares

Generalized context in cross attention for transfer learning of disjoint tabular data

Kazi F. Akhter · Ibna Kowsar · Manar D. Samad

Unlike images and text, applying transfer learning to tabular data is challenging due to heterogeneity in feature types, structures, and semantics across disparate domains. Existing methods assume shared features across data tables to enable knowledge transfer between domains, which is unrealistic in practice. \mds{Thi...

Machine Learning FOS: Computer and information sciences Machine Learning (cs.LG)

• Elsevier BV
• English
• DOI: 10.1016/j.neunet.2026.109568

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Artículo 2027 Acceso abierto Revisado por pares

Multi-objective Bayesian optimization framework for CO2 injection strategy design: A sleipner-inspired study

Muhammad Amir Saeed · Jo Eidsvik · Antonio Candelieri

This study develops a multi-objective Bayesian optimization framework for the design of geological CO2 injection strategies. The problem is formulated over a mixed decision space that includes well configuration, injection rate, and staged allocation of injection across reservoir layers. Evaluating candidate strategies...

• Elsevier BV
• Italy
• English
• DOI: 10.1016/j.geoen.2026.214834

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Artículo 2027 Acceso abierto Revisado por pares

Neuronal attention circuit (NAC) for representation learning

Waleed Razzaq · Izis Kanjaraway · Yun-Bo Zhao

Attention improves representation learning over RNNs, but its discrete nature limits continuous-time (CT) modeling. We introduce Neuronal Attention Circuit (NAC), a novel, biologically inspired CT-attention mechanism that reformulates attention logit computation as the solution to a linear first-order ODE with nonlinea...

Machine Learning FOS: Computer and information sciences Artificial Intelligence (cs.AI) Artificial Intelligence

• Elsevier BV
• English
• DOI: 10.1016/j.neunet.2026.109495

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Conjunto de datos 2027 Acceso abierto

Hydrogen in the Earth’s core: Sound velocities of hydrogen bearing Fe-Si-alloys at extreme conditions

Samuel GALLEGO PARRA · Ilya KUPENKO · Katarzyna Maria SKRZYNSKA · Daria DIAGILEVA · y 1 más

In this experiment, we aim to investigate the density as well as the electronic, elastic and thermodynamic properties of hydrogen-bearing Fe-Si-alloys at pressures above 300 GPa and temperatures up to several thousands of degrees. Therefore, nuclear inelastic scattering (NIS) and powder x-ray diffraction (XRD) are plan...

PaN ES-1497 Earth Sciences Particles, Nuclei and Fields

• ESRF (European Synchrotron Radiation Facility...
• English
• DOI: 10.15151/esrf-es-1584279039

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Artículo 2027 Acceso abierto Revisado por pares

Evaluating AI models’ capability to automate voice phishing attacks

Fred Heiding · Claudio Mayrink Verdun · Simon Lermen · Andrew Kao · y 4 más

Voice phishing (vishing) attacks have traditionally been limited by the need for human operators. The rapid emergence of high-quality AI voice synthesis and large language models (LLMs) reduces this bottleneck and enables scalable, automated scams. In this paper, we conduct a large-scale survey experiment (N=4100) and...

FOS: Computer and information sciences Cryptography and Security Computers and Society (cs.CY) engineering and technology

• Elsevier BV
• English
• DOI: 10.1016/j.eswa.2026.133620

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Artículo 2027 Acceso abierto Revisado por pares

Liquid metal–integrated polyimide nanofibers for high-temperature triboelectric energy harvesting

Peng Wu · Kamyar Shirvanimoghaddam · İlhan Özen · Nauman Ali Choudhry · y 4 más

Triboelectric nanogenerators (TENGs) capable of operating at elevated temperatures remain constrained by charge dissipation and the poor thermal stability of conventional polymer dielectrics. Here, liquid metal (LM)-integrated polyimide (PI) nanofibers are developed as a thermally robust triboelectric platform for hars...

Macromolecular and materials chemistry Chemical sciences Materials engineering Condensed matter physics

• Elsevier BV
• English
• DOI: 10.1016/j.materresbull.2026.114397

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Artículo 2027 Acceso abierto Revisado por pares

Thermochemical valorisation of sheep manure into bio-oil for asphalt binder modification

Jorge Gallegos-Molina · Diana Movilla-Quesada · Manuel Lagos-Varas · Natividad Antón Iglesias · y 1 más

Sheep manure is an abundant biogenic residue with potential as a renewable feedstock for producing value-added materials through thermochemical conversion. This study investigates the valorisation of sheep manure by slow pyrolysis to obtain a bio-oil suitable for use as a bio-based modifier in bituminous binders. Physi...

Bio-oil Bituminous binder Slow pyrolysis Rheology

• Elsevier BV
• Spain
• English
• DOI: 10.1016/j.wasman.2026.115902

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Artículo 2027 Acceso abierto Revisado por pares

In situ eutectic mixture combined with diluted organic acids for a greener ICP-OES elemental analysis of chocolate

Luís Claudio Martins · Samara Soares · Maria C. Hespanhol · Fábio R.P. Rocha

Chocolate is a complex, highly-fat matrix, whose elemental analysis typically relies on microwave-assisted acid digestion (MW-AD) with concentrated HNO3 and H2O2 under harsh conditions. In this study, a greener sample-preparation strategy was developed by combining thymol, a natural lipid extractor, with a diluted aque...

natural sciences chemical sciences

• Elsevier BV
• English
• DOI: 10.1016/j.talanta.2026.130295

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Artículo 2027 Acceso abierto Revisado por pares

Regression analysis after bipartite Bayesian record linkage

Xueyan Hu · Jerome P. Reiter

In many settings, a data curator links records from two files to produce datasets that are shared with secondary analysts. Analysts use the linked files to estimate models of interest, such as regressions. Such two-stage approaches do not necessarily account for uncertainty in model parameters that results from uncerta...

Methodology (stat.ME) FOS: Computer and information sciences H.2.8; G.3; H.2.m 62D10 62J05 (Primary) 62F15, 62H30 (Secondary)

• Elsevier BV
• English
• DOI: 10.1016/j.csda.2026.108461

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Artículo 2027 Acceso abierto Revisado por pares 1 cita

Risk-aware multi-market scheduling of virtual power plants with dynamic network tariffs

Lorenzo Zapparoli · Paul Fäth · Blazhe Gjorgiev · Giovanni Sansavini

As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promising solution. However, most existing scheduling tools rely on simplified DER or grid models and largely overlook local flexibility pro...

Ancillary services Electricity markets Virtual power plant Stochastic optimization

• Elsevier BV
• English
• DOI: 10.1016/j.epsr.2026.113572

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