Vibration analysis for machine monitoring and diagnosis: a systematic review

MH Mohd Ghazali, W Rahiman - Shock and Vibration, 2021 - Wiley Online Library
Untimely machinery breakdown will incur significant losses, especially to the manufacturing
company as it affects the production rates. During operation, machines generate vibrations …

Survey on sentiment analysis: evolution of research methods and topics

J Cui, Z Wang, SB Ho, E Cambria - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center

Y Rong, L Yu, W Niu, Y Liu, T Senapati… - … Applications of Artificial …, 2022 - Elsevier
The evaluation and selection of cold chain logistics distribution center (CCLDC) possesses
important strategic significance for enterprises to optimize logistics network. This paper firstly …

Sentiment analysis using fuzzy logic: A comprehensive literature review

S Vashishtha, V Gupta, M Mittal - … Reviews: Data Mining and …, 2023 - Wiley Online Library
Understanding and comprehending humans' views, beliefs, attitudes, or opinions toward a
particular entity is sentiment analysis (SA). Advancements in e‐commerce platforms has led …

An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis

M Venugopalan, D Gupta - Knowledge-based systems, 2022 - Elsevier
Aspect level sentiment analysis is a fine-grained task in sentiment analysis. It extracts
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …

Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS

K Li, CY Chen, ZL Zhang - Applied Soft Computing, 2023 - Elsevier
Online reviews can assist customers in making purchasing decisions, however, when
multiple alternative products need to be compared based on online reviews, a large number …

[HTML][HTML] A 2-tuple fuzzy linguistic model for recommending health care services grounded on aspect-based sentiment analysis

J Serrano-Guerrero, M Bani-Doumi, FP Romero… - Expert Systems with …, 2024 - Elsevier
Evaluating the quality of health care systems usually entails the examination of objective
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …

CSAT-FTCN: a fuzzy-oriented model with contextual self-attention network for multimodal emotion recognition

D Jiang, H Liu, R Wei, G Tu - Cognitive Computation, 2023 - Springer
Multimodal emotion analysis has become a hot trend because of its wide applications, such
as the question-answering system. However, in a real-world scenario, people usually have …

Proposal of a facilitating methodology for fuzzy FMEA implementation with application in process risk analysis in the aeronautical sector

BA Resende, FG Dedini, JJ Eckert… - International Journal of …, 2024 - emerald.com
Purpose This study aims to propose a facilitating methodology for the application of Fuzzy
FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy …

[HTML][HTML] Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions

J Serrano-Guerrero, M Bani-Doumi, FP Romero… - Artificial Intelligence in …, 2022 - Elsevier
Introduction Most hospital assessment systems are based on the study of objective statistical
variables as well as patient opinions on their experiences with respect to the services …