Results 71 to 80 of about 11,792 (198)
Assessment of Residential Building Energy-Saving with 2-Tuple Linguistic Information [PDF]
With the acceleration of the process of our country’s urbanization, the investment of urban infrastructure construction continues to increase and the construction industry has become a pillar industry of the national economy.
Xiao-Feng Liu
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Cholecystitis is a common disease with a high incidence, and attracts much attention. It not only harms human health, but also affects quality of work and life. Therefore, the choice of a suitable treatment is badly important for patients. In this paper,
Li Xie +4 more
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ABSTRACT Sentiment analysis of movie reviews reflects users' behavioral preferences and emotional responses to films, aiding in understanding audience needs and enhancing user experience. In recent years, deep ensemble learning has significantly improved sentiment polarity prediction by combining multiple deep models.
Hanzhe Cai, Ze Wu, Seena Joseph
wiley +1 more source
Industrialization in developing or establishing countries is a difficult and spirited aspect of social transformation, economic growth, and poverty reduction.
Zeeshan Ali, Miin-Shen Yang
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In this 3 T fMRI study, 6 Hz cerebellar transcranial alternating current stimulation (ctACS) was applied to modulate cerebellar function during extinction training in healthy participants. ctACS applied during extinction training reduced spontaneous fear recovery during recall.
Giorgi Batsikadze +13 more
wiley +1 more source
This study attempts to manipulate 2-tuple linguistic variables rather than pure linguistic variables in quality function deployment (QFD) in order to significantly improve the identification of the QFD model.
Shih-Yuan Wang
doaj +1 more source
From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +1 more source
Personalized and Explainable Aspect‐Based Recommendation Using Latent Opinion Groups
ABSTRACT The problem of explainable recommendation—supporting the recommendation of a product or service with an explanation of why the item is a good choice for the user—is attracting substantial research attention recently. Recommendations associated with an explanation of how the aspects of the chosen item may meet the needs and preferences of the ...
Maryam Mirzaei +2 more
wiley +1 more source
OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web [PDF]
OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area.
Pareja-Lora, A.
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A group decision-making aggregation process [PDF]
Within the frame of decision aid literature, decision making problems with multiple sources of information have drawn the attention of researchers from a wide spectrum of disciplines. In decision situations with multiple individuals, each one has his own
Halouani Nesrin +2 more
doaj +1 more source

