Results 51 to 60 of about 22,177,297 (251)

A New Modified Technique to Identify Outlier Values Using Fuzzy Clustering [PDF]

مجلة جامعة الانبار للعلوم الصرفة
Outliers within a dataset are data points that substantially differ from the rest of the data. These atypical data points can be attributed to a range of factors, such as errors in measurement, issues with data input, and natural variations in the data ...
Wafaa Hasanain, Saja Sakran
doaj   +1 more source

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method

Fuzzy Information and Engineering
Semi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process.
Shirin Khezri, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei   +3 more
doaj   +1 more source

FP-Conv-CM: Fuzzy Probabilistic Convolution C-Means

Mathematics, 2023
Soft computing models based on fuzzy or probabilistic approaches provide decision system makers with the necessary capabilities to deal with imprecise and incomplete information.
Karim El Moutaouakil, Vasile Palade, Safaa Safouan, Anas Charroud   +3 more
doaj   +1 more source

A Fuzzy C-Means Algorithm for Fingerprint Segmentation [PDF]

, 2015
Fingerprint segmentation is a crucial step of an automatic fingerprint identification system, since an accurate segmentation promote both the elimination of spurious minutiae close to the foreground boundaries and the reduction of the computation time of the following steps.
Pedro M. Ferreira 0002, Ana Filipa Sequeira, Ana Rebelo   +2 more
openaire   +2 more sources

Using fuzzy c-means and fuzzy integrals for machinery fault diagnosis [PDF]

, 2005
This research applied fuzzy c-means and fuzzy integral theories to a proposed novel two-step machinery fault diagnosis model. Distributed multiple fuzzy c-means classifiers were used to produce an initial diagnosis result by considering different ...
Mathew, Joseph, Ma, Lin, Zhang, Sheng, Liu, Xiaofeng   +3 more
core  

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation

Frontiers in Computational Neuroscience
In clinical research, it is crucial to segment the magnetic resonance (MR) brain image for studying the internal tissues of the brain. To address this challenge in a sustainable manner, a novel approach has been proposed leveraging the power of ...
Jyoti Arora, Ghadir Altuwaijri, Ali Nauman, Meena Tushir, Tripti Sharma, Deepali Gupta, Sung Won Kim   +6 more
doaj   +1 more source

Fuzzy Logic in KNIME – Modules for Approximate Reasoning – [PDF]

International Journal of Computational Intelligence Systems
In this paper we describe the open source data analytics platform KNIME, focusing particularly on extensions and modules supporting fuzzy sets and fuzzy learning algorithms such as fuzzy clustering algorithms, rule induction methods, and interactive ...
MichaelR. Berthold, Bernd Wiswedel, ThomasR. Gabriel   +2 more
doaj   +1 more source

Hybrid image segmentation using Fuzzy C-Means and gravitational search algorithm [PDF]

, 2012
In this paper, we propose a new hybrid approach for image segmentation. The proposed approach exploits spatial fuzzy c-means for clustering image pixels into homogeneous regions.
Ullah Sheikh, Usman, As'ari, Muhammad Amir, Emadaldin Mozafari Majd, M. A. As'ari, As'ari, M. A., Mozafari Majd, Emadaldin, U. U. Sheikh, Abu-Bakar, S. A. R., Syed Abu Bakar, Syed Abdul Rahman, S. A. R. Abu-Bakar, Sheikh, U.U., Majd, E. M.   +11 more
core   +1 more source