A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta. [PDF]
Sunusi N, Sikib AA, Pasari S.
europepmc +1 more source
Quantifying extra‐lesional interhemispheric cortical asymmetry in focal cortical dysplasia type II
Abstract Objective Focal cortical dysplasia type II (FCDII) is a cortical malformation representing a common cause of surgically treatable drug‐resistant epilepsy. We studied whether FCDII disrupts normal structural interhemispheric asymmetry beyond the lesion location and quantified these asymmetries derived from structural magnetic resonance imaging (
Faezeh Heidari +3 more
wiley +1 more source
An Interpretable Fuzzy Distance-Based Ensemble Framework with SHAP Analysis for Clinically Transparent Prediction of Diabetes. [PDF]
Syed AH +5 more
europepmc +1 more source
Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley +1 more source
Analysis of chemiluminescence and liquid chromatography-mass spectrometry in 25-hydroxyvitamin D detection using fuzzy logic. [PDF]
Liu H +9 more
europepmc +1 more source
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley +1 more source
Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]
Bhimineni VC, Senapati R.
europepmc +1 more source
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
Hybrid deep learning approach for early emphysema diagnosis combining fuzzy C-means, TransUNet, and faster mask R-CNN. [PDF]
Dharmaraj M, Murugesan A.
europepmc +1 more source
Disrupted modular and hub topology in right temporal lobe epilepsy: a multimodal MRI network analysis. [PDF]
Qu C +5 more
europepmc +1 more source

