Results 21 to 30 of about 1,460 (118)

Artificial intelligence‐enabled digital biomedical engineering

open access: yesBMEMat, Volume 3, Issue 4, December 2025.
This review presents a comprehensive overview, emphasizing the critical role of artificial intelligence (AI) in biomedical engineering. It further explores the implications of AI for future biomedical research and clinical practice, aiming to provide theoretical insights for academic investigation and technological innovation in the field.
Peiran Song   +6 more
wiley   +1 more source

Sentiment Classification Using fastText Embedding and Deep Learning Model

open access: yesProcedia Computer Science, 2021
Abstract Along with the growing popularity of deep learning to handle classification problems, various deep learning models have emerged having complex architectures. The disadvantage of a model with a complex architecture is the computational problem in which takes longer training time than a simple model.
openaire   +1 more source

Hypothesis generation from pragmatic causal relationships for latent knowledge reasoning in the civil engineering domain

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5447-5473, 9 December 2025.
Abstract Structural health monitoring (SHM) research generates vast amount of information, especially as unstructured data formats. To date, most natural language processing (NLP) applications focus on extracting information (syntactic or semantic level) rather than providing latent knowledge and generating newer information (pragmatic level).
Sangbin Lee, Robin Eunju Kim
wiley   +1 more source

Risks of ignoring uncertainty propagation in AI‐augmented security pipelines

open access: yesRisk Analysis, Volume 45, Issue 12, Page 4469-4489, December 2025.
Abstract The use of AI technologies is being integrated into the secure development of software‐based systems, with an increasing trend of composing AI‐based subsystems (with uncertain levels of performance) into automated pipelines. This presents a fundamental research challenge and seriously threatens safety‐critical domains.
Emanuele Mezzi   +3 more
wiley   +1 more source

Exploring Swedish & English fastText Embeddings for NER with the Transformer

open access: yes, 2020
In this paper, our main contributions are that embeddings from relatively smaller corpora can outperform ones from larger corpora and we make the new Swedish analogy test set publicly available. To achieve a good network performance in natural language processing (NLP) downstream tasks, several factors play important roles: dataset size, the right ...
Adewumi, Tosin P.   +2 more
openaire   +2 more sources

Scaling research aim identification: Language models for classifying scientific and societal‐oriented studies

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 11, Page 1470-1487, November 2025.
Abstract The classification of research according to its aims has been a longstanding focus in the fields of quantitative science studies and R&D statistics. Since 1963, the Organization for Economic Co‐operation and Development (OECD) has employed a classical distinction among basic, applied, and experimental research.
Mengjia Wu   +4 more
wiley   +1 more source

Machine Learning Enables Alignment‐Free Distance Calculation and Phylogenetic Placement Using k‐Mer Frequencies

open access: yesMolecular Ecology Resources, Volume 25, Issue 8, November 2025.
ABSTRACT A key application of phylogenetics in ecological studies is identifying unknown sequences with respect to known ones. This goal can be formalised as assigning taxonomic labels or inserting sequences into a reference phylogenetic tree (phylogenetic placement). Much attention has been paid to the phylogenetic placement of short fragments used in
Eleonora Rachtman   +2 more
wiley   +1 more source

Multiword Discourse Markers Across Languages: A Linguistic and Computational Perspective

open access: yesInternational Journal of Applied Linguistics, Volume 35, Issue 4, Page 2078-2090, November 2025.
ABSTRACT Discourse markers (DMs) are linguistic expressions that convey different semantic and pragmatic values, managing and organizing the structure of spoken and written discourses. They can be either single‐word or multiword expressions (MWE), made up of conjunctions, adverbs, and prepositional phrases.
Elena‐Simona Apostol   +9 more
wiley   +1 more source

Discovering Business Processes from Email Logs using fastText and Process Mining

open access: yesSSRN Electronic Journal, 2020
<p>Communication has never been more accessible than today. With the help of Instant messengers and Email Services, millions of people can transfer information with ease, and this trend has affected organizations as well. There are billions of organizational emails sent or received daily, and their main goal is to facilitate the daily operation ...
Yaghoub Rashnavadi   +3 more
openaire   +3 more sources

Enhancing Adverse Event Reporting With Clinical Language Models: Inpatient Falls

open access: yesJournal of Advanced Nursing, Volume 81, Issue 11, Page 8016-8027, November 2025.
ABSTRACT Aims To develop a method for computationally detecting fall events using clinical language models to complement existing self‐reporting mechanisms. Design Retrospective observational study. Methods Text data were collected from the unstructured nursing notes of three hospitals' electronic health records and the Korean national patient safety ...
Insook Cho   +3 more
wiley   +1 more source

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