Results 61 to 70 of about 233,398 (183)
Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Background Surgical education and skill assessments are important in improving surgical skills. However, instructors' comments tend to be complex and unorganized, with varying content and categories. This study aimed to develop a natural language processing (NLP) model to automatically classify feedback comments on surgical procedures and ...
Shusaku Iwai +7 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Complex sentences with copulative clauses of conjunction structures [PDF]
Zbornik Radova Filozofskog Fakulteta u Prištini, 2013 In this paper the author analyses the complex sentence with copulative clauses of conjunction structures. As a corpus it has taken modern prose writings David Albahari, Vladan Matić and Goran Petrović. Analyses and classification of the examples are done
Mirilov Ružica Ž.
doaj
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Актуальні питання суспільних наук та історії медицини, 2017 Вринчану Ф. Дискуссионные проблемы изучения синтаксических связей в румынской грамматике. Статья посвящена комплексному исследованию структуры, семантики и прагматики синтаксических связей на материале румынского языка.
Фелічія ВРИНЧАНУ
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
Advanced Intelligent Systems, EarlyView.This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin +9 more
wiley +1 more source
End‐to‐End Attention‐Enhanced Transformer for Image Captioning in Biomimetic Wearable Devices
Advanced Intelligent Systems, EarlyView.This work proposes an attention‐enhanced transformer for image captioning, improving multiregion feature representation and future‐context decoding, achieving 2.1 CIDEr gain and real‐time performance on wearables with low memory and power, ideal for edge deployment in biomimetic visual assistance.
Yongyang Yin, Hengyu Cao, Jun Lin
wiley +1 more source
Où finit la phrase ? Où commence le texte ?
Discours, 2010 This paper questions the frontier between grammatical relations and discourse relations, by taking examples of verbal clause sequences, mostly drawn from spoken French corpora.
Christophe Benzitoun, Frédéric Sabio
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Advanced Intelligent Systems, EarlyView.This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani +2 more
wiley +1 more source