Results 101 to 110 of about 4,525,819 (292)

Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

Sustainable Development, EarlyView.
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori, Yaser Sobhanifard, Adel Aazami, Rahim Khanizad   +3 more
wiley   +1 more source

The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology

Sustainable Development, EarlyView.
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley   +1 more source

Cognitive Outcome After Deep Brain Stimulation for Refractory Obsessive–Compulsive Disorder: A Systematic Review

Neuromodulation: Technology at the Neural Interface, EarlyView., 2021
Abstract Introduction Deep brain stimulation (DBS) is an effective treatment for refractory obsessive–compulsive disorder (OCD). Neuropsychological assessment contributes to DBS treatment in several ways: it monitors the cognitive safety of the treatment, identifies beneficial or detrimental cognitive side effects and it could aid to explain ...
Tim A. M. Bouwens van der Vlis, Annelien Duits, Mégan M. G. H. van de Veerdonk, Anne E. P. Mulders, Koen R. J. Schruers, Yasin Temel, Linda Ackermans, Albert F. G. Leentjens   +7 more
wiley   +1 more source

A Semantic Similarity Model for Geographic Terminologies Using Ontological Features and BP Neural Networks

Applied Sciences
Accurate measurement of semantic similarity between geographic terms is a fundamental challenge in geographic information science, directly influencing tasks such as knowledge retrieval, ontology-based reasoning, and semantic search in geographic ...
Zugang Chen, Xinyu Chen, Yin Ma, Jing Li, Linhan Yang, Guoqing Li, Hengliang Guo, Shuai Chen, Tian Liang   +8 more
doaj   +1 more source

Semantic Fusion for Natural Multimodal Interfaces using Concurrent Augmented Transition Networks

Multimodal Technologies and Interaction, 2018
Semantic fusion is a central requirement of many multimodal interfaces. Procedural methods like finite-state transducers and augmented transition networks have proven to be beneficial to implement semantic fusion.
Chris Zimmerer, Martin Fischbach, Marc Erich Latoschik   +2 more
doaj   +1 more source

Optimizing lexical fitness assessment in L2 Chinese reading texts

PeerJ Computer Science
Background Vocabulary serves as the foundation for text comprehension. Therefore, texts at different proficiency levels should incorporate appropriately adapted vocabulary to support second language learners in developing their reading skills. Methods
Qiao Lin, Hua Liu
openaire   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Addressing Complexity in System of Systems With GraphRAG: An AI‐Driven Framework for Dynamic Data Integration

Systems Engineering, EarlyView.
ABSTRACT System of Systems (SoS) environments are inherently complex, involving numerous operationally and managerially independent component systems with hidden interdependencies and frequent interactions based on unstructured data. In this paper, we propose using graphical Retrieval‐Augmented Generation (GraphRAG), a tool that combines large language
Yinchien Huang, Tien‐Yueh Fung, Daniel A. DeLaurentis   +2 more
wiley   +1 more source

Systematic Learning and Pedagogy Through a Modular, Progressive‐Based Simulation Modeling Framework for Complex Systems

Systems Engineering, EarlyView.
ABSTRACT Smart Transportation Systems (SmTS) will exceed complex systems with their classification as complex, sociotechnical, and AI‐based systems. Possessing a toolkit that helps systemically understand, analyze, and assess these systems will be advantageous in the early stages of the systems engineering (SE) lifecycle, and Agent Based Models (ABMs ...
Ifezue V. Obiako, Sean B. Walker, Kari J. Lippert, Robert J. Cloutier   +3 more
wiley   +1 more source

Tibetan Data Augmentation via GAN‐Based Handwritten Text Generation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Increased awareness of Tibetan cultural preservation, along with technological advancements, has led to significant efforts in academic research on Tibetan. However, the structural complexity of the Tibetan language and limited labeled handwriting data impede advancements in Optical Character Recognition (OCR) and other applications.
Dorje Tashi, Bingtian Chen, Tianying Sheng, Yongbin Yu, Xiangxiang Wang, Jin Zhang, Lobsang Yeshi, Rinchen Dongrub, Thupten Tsering, Nyima Tashi   +9 more
wiley   +1 more source