[HTML][HTML] A deep dive into membrane distillation literature with data analysis, bibliometric methods, and machine learning

E Aytaç, M Khayet - Desalination, 2023 - Elsevier
Membrane distillation (MD) is a non-isothermal separation process applied mainly in
desalination for the treatment of saline aqueous solutions including brines for distilled water …

[HTML][HTML] A picture fuzzy set multi criteria decision-making approach to customize hospital recommendations based on patient feedback

M Bani-Doumi, J Serrano-Guerrero, F Chiclana… - Applied Soft …, 2024 - Elsevier
Sentiment analysis techniques have allowed exploiting the information available in millions
of opinions conveyed through different Internet services. One example would be the multiple …

Examining public attitudes and perceptions of waste sorting in China through an urban heterogeneity lens: A social media analysis

H Huang, R Long, H Chen, K Sun, Q Sun… - Resources, Conservation …, 2023 - Elsevier
Examining public attitudes is crucial for promoting effective waste sorting (WS). However,
limited studies have utilized social media data to gauge public perspectives on WS …

A user review data-driven supplier ranking model using aspect-based sentiment analysis and fuzzy theory

B Sun, X Song, W Li, L Liu, G Gong, Y Zhao - Engineering Applications of …, 2024 - Elsevier
Background: The supplier selection problem is a sophisticated decision-making process that
involves evaluating multiple factors. While previous research has primarily focused on …

[PDF][PDF] Business intelligent framework using sentiment analysis for smart digital marketing in the E-commerce era

KS Kyaw, P Tepsongkroh, C Thongkamkaew… - Asia Social …, 2023 - academia.edu
Since trading has been transformed into online platforms, marketing strategies have
adapted to digital systems in order to enhance the Customer Relationship Management …

A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems

AS Albahri, MM Jassim, L Alzubaidi… - … and Decision Making, 2024 - eprints.qut.edu.au
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …

Sentiment analysis of public social media as a tool for health-related topics

F Arias, MZ Nunez, A Guerra-Adames… - IEEE …, 2022 - ieeexplore.ieee.org
For decades, researchers have experimented with the possibility that machines can equal
human linguistic capabilities. Recently, advances in the field of natural language processing …

Deep learning XAI for bus passenger forecasting: A use case in Spain

L Monje, RA Carrasco, C Rosado… - Mathematics, 2022 - mdpi.com
Time series forecasting of passenger demand is crucial for optimal planning of limited
resources. For smart cities, passenger transport in urban areas is an increasingly important …

Integrated shannon entropy and COPRAS optimal model-based recommendation framework

N Punetha, G Jain - Evolutionary Intelligence, 2024 - Springer
Multi-criteria decision-making (MCDM) techniques are increasing in product
recommendation decisions, which typically entail several factors. This study aims to …

Will sentiment analysis need subculture? A new data augmentation approach

Z Wang, S He, G Xu, M Ren - Journal of the Association for …, 2024 - Wiley Online Library
Nowadays, the omnipresence of the Internet has fostered a subculture that congregates
around the contemporary milieu. The subculture artfully articulates the intricacies of human …