Multilingual legal question answering remains underexplored, despite its practical importance in jurisdictions like the European Union, where citizens have a constitutional right to access legal infor...
Large language models are increasingly used in clinical medicine, but their reliance on cloud servers conflicts with patient-privacy requirements and excludes resource-limited healthcare systems. Smal...
Dynamic models of NaOH–H2O falling-film absorbers/desorbers are needed for process analysis and future controller design, but time-resolved experimental data for the target system are not yet availabl...
As core technical documents for the process industry, Piping and Instrumentation Diagrams (P\&IDs) and Process Flow Diagrams (PFDs) face severe challenges in automated object detection: small industri...
In modern manufacturing value chains, achieving optimal product quality and sustainability necessitates collaboration across interconnected stakeholders. Conventional Latent Variable Model Inversion (...
Multimodal music information retrieval has gained significant momentum, producing a wide range of datasets for machine learning and deep learning tasks. However, these resources remain overwhelmingly ...
Sarcasm detection is a challenging task in Natural Language Processing (NLP) due to its reliance on subtle and implicit linguistic cues that are often not explicitly expressed in text. Designing model...
Scaling perovskite solar cells (PSCs) to large-area, durable modules requires buried interfaces that form uniformly under manufacturing-relevant coating conditions, yet this remains difficult to achie...
Background: Shipworms are voracious consumers of wood in marine environments. The animal burrows into both dead and living trees and secretes lignocellulosic enzymes that degrade lignocellulose. The d...
The purpose of this paper is to show the application of the colour-processing technique to enhance the resolution of seismic data for more detailed structural interpretation. Colour-processing is a po...
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