Results 81 to 90 of about 1,617,822 (298)

HyperJournal software, PHP scripting and Semantic Web technologies for the Open Access [PDF]

open access: yes, 2005
In this article we present an high level overview of the HyperJournal project, an effort to provide novel possibilities both in Scientific Publishing and in access to Scientific Contributions, according to the Open Access movement guidelines.
Barbera, Michele   +3 more
core  

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

The evolving mSpace platform: leveraging the Semantic Web on the Trail of the Memex

open access: yes, 2005
Vannevar Bush proposed the memex as a means to support building knowledge in the way he says the human brain works: by association. Achieving this vision has been a core motivation for hypertext research.
Smith, Daniel Alexander   +5 more
core   +1 more source

The communicemas with the semantics of motivation in the Komi language

open access: yesBulletin of Ugric studies, 2020
Introduction: the article analyzes the communicemas with semantics of motivation in the Komi language. The subject of the research is the intentions of communicants and implicit meanings conveyed by these syntactic units. Objective: to identify and describe the most common communicemas with the semantics of motivation in the Komi language, their ...
openaire   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Cross-Linguistic Awareness as a predictor of language learning motivation: a bayesian perspective

open access: yesDiscover Education
Cross-linguistic awareness has gained increasing attention due its impact on language learning process. This study investigated the predictive role of Cross-Linguistic Awareness (CLA) and its components in shaping language learning motivation among ...
Motahareh Saadati, Seyed Hassan Talebi
doaj   +1 more source

Russkyj karawan: kommentaryj k nekotorymznaczenyjam rus. karawan y eho proyzwodnych

open access: yesLingVaria, 2017
Russkyj karawan: a Commentary on Some of the Meanings of Russian karawan and Its Derivatives The article considers the semantic and word-formative family developed by the word караван in different varieties of the Russian language (mostly in dialects ...
Elena L. Berezowicz
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Semantic diversity:A measure of contextual variation in word meaning based on latent semantic analysis [PDF]

open access: yes, 2013
Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for ...
Hoffman, Paul; id_orcid   +5 more
core   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

open access: yesAdvanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

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