Results 31 to 40 of about 59,449 (264)
Distribution Linguistic Fuzzy Group Decision Making Based on Consistency and Consensus Analysis
Mathematics, 2021 The development of distribution linguistic provides a new research idea for linguistic information group decision-making (GDM) problems, which is more flexible and convenient for experts to express their opinions.
Feifei Jin +3 more
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Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Jurnal Eduscience, 2023 Writing skill is one of the most important language skill to be mastered in the language learning process, especially English. The writing process starts from writing a paragraph. Paragraph are important in writing skill. The purpose of this research was
Rulik Setiani, Dewi Sartipa, Sinta Novia
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StackingNet: Collective Inference Across Independent AI Foundation Models
Advanced Science, EarlyView.ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Deep Learning Prediction of O‐Glycopeptide Tandem Mass Spectra Enhances O‐Glycoproteomics
Advanced Science, EarlyView.DeepGPO integrates Transformer and graph neural networks with tailored training strategies, including data augmentation, loss re‐weighting, and pre‐training, to achieve high‐quality O‐glycopeptide MS/MS spectra prediction. The predicted MS/MS spectra are used to localize O‐glycosylation sites from HCD MS/MS data, enhancing O‐glycoproteomics analysis ...
Yu Zong, Yuxin Wang, Liang Qiao
wiley +1 more source
Information, 2017 The linguistic neutrosophic numbers (LNNs) can express the truth, indeterminacy, and falsity degrees independently by three linguistic variables. Hence, they are an effective tool for describing indeterminate linguistic information under linguistic ...
Lilian Shi, Jun Ye
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CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
Advanced Science, EarlyView.CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
THE LINGUISTIC CHALLENGES OF MATHEMATICS WORD PROBLEMS: A RESEARCH AND LITERATURE REVIEW
Malaysian Journal of Learning and Instruction, 2017 Purpose – Word problems are still considered challenging for students when compared to other type of mathematics problems. Many emerging findings regarding this issue highlight that the challenges are predominately caused by linguistic aspects.
Namirah Fatmanissa, Kusnandi Kusnandi
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Auditory and linguistic abilities among children with phonological problems
Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας, 2020 IS AVAILABLE IN THE ...
Finn E. Toennessen, Sigdis L. Skaug
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