Results 61 to 70 of about 3,244 (195)

Sigmoid and Transverse Sinus Thrombosis as a Complication of Chronic Suppurative Otitis Media in a Child: A Case Report and Review of Literature

open access: yesClinical Case Reports, Volume 14, Issue 1, January 2026.
ABSTRACT Chronic suppurative otitis media is an easily managed condition with potential for severe sinus thrombophlebitis complications secondary to cholesteatoma, if not diagnosed and treated promptly. Diagnosis relies on the culture and sensitivity of the drained suppuration, computed tomography (CT), and magnetic resonance imaging (MRI).
Abdullah Nadeem   +8 more
wiley   +1 more source

A Method to Construct an Extension of Fuzzy Information Granularity Based on Fuzzy Distance [PDF]

open access: yes, 2016
In fuzzy granular computing, a fuzzy granular structure is the collection of fuzzy information granules and fuzzy information granularity is used to measure the granulation degree of a fuzzy granular structure.
Demetrovics, Janos   +4 more
core  

Engineering Catalysts at the Multiscale: Past, Present, and Future of Catalyst Manufacturing and Shaping Processes

open access: yesChemCatChem, Volume 18, Issue 1, 15 January 2026.
The image illustrates the journey of catalyst engineering across scales, emphasizing the design, shaping, and manufacturing of technical catalysts. It highlights how hierarchical structuring bridges properties and process innovation, showcasing the continuum between fundamental science and industrial practice that defines modern catalyst engineering ...
Ali M. Alkadhem   +6 more
wiley   +1 more source

Generalized Ideals and Co-Granular Rough Sets

open access: yes, 2017
Lattice-theoretic ideals have been used to define and generate non granular rough approximations over general approximation spaces over the last few years by few authors.
Mani, A
core   +1 more source

Knowledge Extraction From Big Data Using Feature Classification and Ensemble Learning With Granular Computing

open access: yesIET Software, Volume 2026, Issue 1, 2026.
Managing large‐scale data, particularly those with high‐dimensional features, poses a significant challenge in data analysis. With the rapid growth in data generation and the increasing importance of data analysis for researchers, extracting meaningful patterns from big data has become a critical concern. Data analysts utilize data mining techniques to
Mohammad Nematpour   +4 more
wiley   +1 more source

FUZZY INFERENCE NEURAL NETWORKS WITH FUZZY PARAMETERS

open access: yesTASK Quarterly, 2003
This paper concerns fuzzy neural networks and fuzzy inference neural networks, which are two different approaches to neuro-fuzzy combinations. The former is a direct fuzzification of artificial neural networks by introducing fuzzy signals and fuzzy ...
DANUTA RUTKOWSKA, YOICHI HAYASHI
doaj  

Mycotic Sphenopalatine Sinusitis With Concurrent Compression of the Optic Nerves and Chiasm and Severe Visual Impairment in A Horse

open access: yesVeterinary Ophthalmology, Volume 29, Issue 1, January 2026.
ABSTRACT A 15‐year‐old Swiss Warmblood gelding was presented to the ophthalmology service of Zurich University due to severe visual impairment. Ophthalmic and neurologic examinations were performed, raising suspicion of post‐retinal blindness. Standing contrast computed tomography (CT) of the head revealed a partially calcified, soft tissue attenuating
Niklas Holz   +4 more
wiley   +1 more source

When Vitamin Supplementation May Cause More Harm Than Good—An Avoidable Case of Intracranial Hypertension

open access: yes
Pediatric Discovery, Volume 4, Issue 1, March 2026.
Kellie Kum Foong Yip   +2 more
wiley   +1 more source

Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms

open access: yesWound Repair and Regeneration, Volume 34, Issue 1, January/February 2026.
ABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
David Reifs   +3 more
wiley   +1 more source

Design of a TSK Rule‐Based Model With Granular Rules and Ensemble Learning in Big Data

open access: yesComplexity, Volume 2026, Issue 1, 2026.
Nowadays, the management and analysis of big data have become major challenges for researchers in the field of data mining. The increasing rate of data generation, along with the need to extract meaningful patterns, highlights the necessity of developing scalable big data analysis methods.
Mohammad Nematpour   +4 more
wiley   +1 more source

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