Results 81 to 90 of about 1,803,229 (305)
BackgroundAcademic perfectionistic concerns are distinct from perfectionistic strivings, yet existing brief study-related measures often conflate these facets and lack rigorous evaluation of measurement fairness.
Weizhe Chen +7 more
doaj +1 more source
Granular computing: analysis and design of intelligent systems
Information granules, as encountered in natural language, are implicit in nature. To make them fully operational so they can be effectively used to analyze and design intelligent systems, information granules need to be made explicit.
Pedrycz, Witold
core
Sonification of probabilistic feedback through granular synthesis [PDF]
We describe a method to improve user feedback, specifically the display of time-varying probabilistic information, through asynchronous granular synthesis. We have applied these techniques to challenging control problems as well as to the sonification of
R. Murray-Smith +3 more
core +2 more sources
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
Isolation-based hyperbox granular classification computing
Bottom-up and top-down are two main computing models in granular computing by which the granule set including granules with different granularities. The top-down hyperbox granular computing classification algorithm based on isolation, or IHBGrC for short,
Hongbing Liu +3 more
doaj +1 more source
Nonparametric Hyperbox Granular Computing Classification Algorithms
Parametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms.
Hongbing Liu, Xiaoyu Diao, Huaping Guo
doaj +1 more source
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos +2 more
wiley +1 more source
Granular computing based data mining in the views of rough set and fuzzy set [PDF]
Granular computing is a title of methodologies, techniques, and devices that make use of granules in the process of problem solving. The idea of granular computing has shown in a lot of areas, and it is likely playing a more and more important position
Siti Mariyam Shamsuddin +5 more
core +1 more source
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Prediction and analysis of time series data based on granular computing. [PDF]
Yin Y.
europepmc +1 more source

