Results 41 to 50 of about 1,671,237 (334)
A multilabel fuzzy relevance clustering system for malware attack attribution in the edge layer of cyber-physical networks [PDF]
, 2020 The rapid increase in the number of malicious programs has made malware forensics a daunting task and caused users’ systems to become in danger. Timely identification of malware characteristics including its origin and the malware sample family would ...
Alaeiyan, M +4 more
core +2 more sources
Applied Sciences, 2022 Diabetes, a metabolic disease in which the blood glucose level rises over time, is one of the most common chronic diseases at present. It is critical to accurately predict and classify diabetes to reduce the severity of the disease and treat it early ...
Hanaa Salem +5 more
semanticscholar +1 more source
Tongxin xuebao, 2005 A novel method for speaker identification was proposed which was based on a fuzzy classifier with hyperellipsoidal regions. First, the training data for each class were divided into several clusters.
ZHANG Ling-hua, YANG Zhen, ZHENG Bao-yu
doaj +2 more sources
Fuzzy logic filtering of radar reflectivity to remove non-meteorological echoes using dual polarization radar moments [PDF]
Atmospheric Measurement Techniques, 2015 The ability of a fuzzy logic classifier to dynamically identify non-meteorological radar echoes is demonstrated using data from the National Centre for Atmospheric Science dual polarisation, Doppler, X-band mobile radar. Dynamic filtering of radar echoes
D. R. L. Dufton, C. G. Collier
doaj +1 more source
IEEE AccessThis paper introduces two novel class-specific fuzzy clustering algorithms: Mean-based Supervised Clustering (MSC) and Density-based Mean Supervised Clustering (DMSC).
Deepak Mane +6 more
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Egyptian Journal of Remote Sensing and Space Sciences, 2017 A novel neuro fuzzy classifier Hybrid Kohonen Fuzzy C-Means-σ (HKFCM-σ) is proposed in this paper. The proposed classifier is a hybridization of Kohonen Clustering Network (KCN) with FCM-σ clustering algorithm.
Krishna Kant Singh, Akansha Singh
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An Approach to Enhance the Quality of Recommendation Using Collaborative Tagging [PDF]
International Journal of Computational Intelligence Systems, 2014 Collaborative labeling portrays the process by which numerous users put in metadata in the form of keywords to shared data. Nowadays, collaborative labeling has grown in reputation on the web, on sites that permit users to label bookmarks, photographs ...
Latha Banda, K.K. Bharadwaj
doaj +1 more source
Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]
, 2019 An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Fuzzy Neural Networks—A Review with Case Study
Applied SciencesThis publication focuses on the use of fuzzy neural networks for data prediction. The author reviews papers in which fuzzy neural networks were used. The papers were selected mainly from 2020 to 2025 and were selected if fuzzy neural network were used ...
Lukasz Apiecionek
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