Fuzzy clustering‐based image segmentation techniques used to segment magnetic resonance imaging/computed tomography scan brain tissues: Comparative …

P Kaur, P Sharma, A Palmia - International Journal of Imaging …, 2020 - Wiley Online Library
Medical images are obtained with computer‐aided diagnosis using electronic devices such
as CT scanners and MRI machines. The captured computed tomography (CT)/magnetic …

A spatio-temporal framework for managing archeological data

A Belussi, S Migliorini - Annals of Mathematics and Artificial Intelligence, 2017 - Springer
Abstract Space and time are two important characteristics of data in many domains. This is
particularly true in the archaeological context where information concerning the discovery …

Decision Support System for Single Tuition Scholarship Awardees in Higher Education Using Mamdani Fuzzy Inference

M Kholifaturrahman… - Journal of Information …, 2023 - jurnal.untag-sby.ac.id
Abstract Universitas Madura implements the Single Tuition Fee (UKT) scholarship program
in the Informatics department. The current UKT scholarship selection system uses a …

[PDF][PDF] Konstruksi Sistem Inferensi Fuzzy Menggunakan Subtractive Fuzzy C-Means pada Data Parkinson

R Deana, D Suhaedi, E Harahap - Bandung Conference Series …, 2022 - scholar.archive.org
Sistem Inferensi Fuzzy memerlukan beberapa tahap untuk mendapatkan output, 1)
pembentukan himpunan Fuzzy, 2) pembentukan aturan, 3) aplikasi fungsi implikasi, 4) …

Improving disease prediction using ICD-9 ontological features

M Popescu, M Khalilia - … on Fuzzy Systems (FUZZ-IEEE 2011), 2011 - ieeexplore.ieee.org
Disease prediction has become important in a variety of applications such as health
insurance, tailored health communication and public health. Disease prediction is usually …

The synergistic combination of fuzzy C-means and ensemble filtering for class noise detection

Z Nematzadeh, R Ibrahim, A Selamat… - Engineering …, 2020 - emerald.com
Purpose The purpose of this study is to enhance data quality and overall accuracy and
improve certainty by reducing the negative impacts of the FCM algorithm while clustering …

Optimization of machine learning in various situations using ICT-based TVOC sensors

JH Cho, H Lee - Micromachines, 2020 - mdpi.com
A computational framework using artificial intelligence (AI) has been suggested in numerous
fields, such as medicine, robotics, meteorology, and chemistry. The specificity of each AI …

Detection of Parkinson's disease using fuzzy inference system

A Chakraborty, A Chakraborty, B Mukherjee - … Systems Technologies and …, 2016 - Springer
Parkinson's disease is a degenerative neurological disorder which severely affects the
ability to move, speak and behave. Parkinsonism is clinically diagnosed but the laboratory …

Document management with ant colony optimization metaheuristic: A fuzzy text clustering approach using pheromone trails

A Cobo, R Rocha - Soft Computing in Industrial Applications, 2011 - Springer
This paper proposes an ant colony optimization (ACO) algorithm to deal with fuzzy
document clustering problems. A specialized glossary and a thesaurus are used in order to …

FCM with Optimization Algorithms–PSO, CSO, and GA

D Savlekar, S Dahiya - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
One of the most used fuzzy clustering algorithms is the fuzzy c-means (FCM). On the other
hand, FCM can stuck in local optima due to its sensitivity to initialization. In this paper, two …