A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings. [PDF]
Agarwal N +7 more
europepmc +1 more source
Monitoring and assessment for obstructive sleep apnea
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu +6 more
wiley +1 more source
Some new results on interval-valued volterra integro-differential equations for caputo fractional derivative. [PDF]
Noureen S, Zehra A, Tolasa FT.
europepmc +1 more source
We developed a lightweight deep learning framework that integrates frequency‐ and spatial‐domain ultrasound features with segmentation‐assisted classification for hepatic echinococcosis diagnosis. The model outperformed existing state‐of‐the‐art methods in both accuracy and inference speed while requiring substantially fewer computational resources ...
Zhu He +11 more
wiley +1 more source
The m-polar fuzzy TOPSIS hybrid method for manufacturing decisions. [PDF]
Jagtap M, Karande P.
europepmc +1 more source
ABSTRACT This study unravels how the effects of work‐life policies (WLPs) on individual employees' perceived control over their work schedule have cumulative effects across employees, ultimately crossing levels to enhance organizational outcomes like sales.
Margarita Mayo +4 more
wiley +1 more source
An advanced multi-attribute decision-making model for Urban transportation planning based on complex intuitionistic fuzzy sets with hierarchical parameters. [PDF]
Alballa T +4 more
europepmc +1 more source
A robust decision making algorithm for handling uncertainty in career planning via a circular intuitionistic fuzzy SWARA WASPAS method. [PDF]
Chen J.
europepmc +1 more source
Abstract Background Non‐pharmacological and complementary therapeutic, notably immersive virtual reality‐based interventions (IVR), could alleviate pain and anxiety associated with gynecologic procedures. Objective To evaluate the effectiveness of IVR in reducing peri‐ and post‐procedural pain and anxiety in gynecologic procedures.
Cristina González‐Lara +4 more
wiley +1 more source
Einstein aggregation operators for multicriteria group decision making in uncertain environments using cubic picture fuzzy sets. [PDF]
Tanoli MNK +5 more
europepmc +1 more source

