Results 261 to 270 of about 66,224 (345)

Fuzzy weighted natural nearest neighbor based density peak clustering. [PDF]

Sci Rep
Wang M, Chen X, Xie J.
europepmc   +1 more source

Classroom boundaries and teacher agency: Challenges of implementing Ireland's new primary curriculum

The Curriculum Journal, EarlyView.
Abstract This article reports on a doctoral study examining teacher agency in one Irish primary school at a timely moment ahead of the implementation of the new Primary Curriculum Framework in September 2025. The framework embeds teacher agency as a central professional principle, yet findings from this study reveal a more cautious and bounded reality.
Máiréad Nally, Carmel O. Sullivan, Karin Bacon   +2 more
wiley   +1 more source

Centralized two tier clustering method for wireless sensor networks based on a coupled cascaded fuzzy system. [PDF]

Sci Rep
Yuste-Delgado AJ, Triviño A, Diaz-Jimenez D, Cuevas-Martinez JC.   +3 more
europepmc   +1 more source

Adaptive deep Q-networks for accurate electric vehicle range estimation. [PDF]

Front Big Data
Khekare U, Vedaraj I S R.
europepmc   +1 more source

Fuzzy Logic Approaches for Causal Inference in Health Care: Systematic Review. [PDF]

JMIR AI
Jamett J, Melendez P, Collao-Ferrada X, Cordero-Torres K, Veloz A.   +4 more
europepmc   +1 more source

Federated TriNet-AQ: Explainable english proficiency classification in augmented and virtual reality learning. [PDF]

PLoS One
Zhang C, Liu Z.
europepmc   +1 more source

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Gaussian Collaborative Fuzzy C-Means Clustering

International Journal of Fuzzy Systems, 2021
For most FCM-based fuzzy clustering algorithms, several problems, such as noise, non-spherical clusters, and size-imbalanced clusters, are difficult to solve. Different fuzzy clustering algorithms are developed to deal with these problems from different perspectives. However, no comprehensive viewpoint to generalize these problems has been put forward.
Yunlong Gao, Zhihao Wang, Huidui Li, Jinyan Pan   +3 more
openaire   +2 more sources

FRCM: A fuzzy rough c-means clustering method

Fuzzy Sets and Systems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz, Weiping Ding   +4 more
openaire   +2 more sources

Efficient Implementation of the Fuzzy c-Means Clustering Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986
This paper reports the results of a numerical comparison of two versions of the fuzzy c-means (FCM) clustering algorithms. In particular, we propose and exemplify an approximate fuzzy c-means (AFCM) implementation based upon replacing the necessary ``exact'' variates in the FCM equation with integer-valued or real-valued estimates.
Cannon, Robert L., Dave, Jitendra V., Bezdek, James C.   +2 more
openaire   +5 more sources

A possibilistic fuzzy c-means clustering algorithm

IEEE Transactions on Fuzzy Systems, 2005
N. Pal, K. Pal, J. Keller, J. Bezdek
semanticscholar   +3 more sources