Retracted: Multi-Kernel Fuzzy Clustering-Based Sporting Consumption Behavior Study. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Fuzzy Modeling of Client Preference in Data-Rich Marketing Environments [PDF]
Advances in computational methods have led, in the world of financial services, to huge databases of client and market information. In the past decade, various computational intelligence (CI) techniques have been applied in mining this data for obtaining
Kaymak, U., Setnes, M.
core +1 more source
PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping
Advanced Science, EarlyView.scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su +7 more
wiley +1 more source
Deep Volumetric Super‐Resolution Imaging in Thick Biological Specimens With Sparse Scanning SIM
Advanced Science, EarlyView.Sparse scanning structured illumination microscopy (SS‐SIM) extends the axial depth in super‐resolution fluorescence imaging by combining rapid laser scanning, pixel‐addressed intensity modulation, and sCMOS camera detection. SS‐SIM yields 1.6× lateral and 1.7× axial resolution gains over wide‐field microscopy and enables imaging through 300–600 µm ...
Sha An +8 more
wiley +1 more source
Retracted: Construction of the Public Management Performance Assessment Algorithm Using Fuzzy Clustering. [PDF]
J Environ Public Health, 2023 Environmental And Public Health JO.
europepmc +1 more source
Distinct Biotypes of Visual Perception in Major Depressive Disorder
Advanced Science, EarlyView.In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai +13 more
wiley +1 more source
A Distributed Particle-Swarm-Optimization-Based Fuzzy Clustering Protocol for Wireless Sensor Networks. [PDF]
Sensors (Basel), 2023 Wang C.
europepmc +1 more source
Fuzzy K-Means Clustering Without Cluster Centroids
Fuzzy K-Means clustering is a critical technique in unsupervised data analysis. Unlike traditional hard clustering algorithms such as K-Means, it allows data points to belong to multiple clusters with varying degrees of membership, determined through iterative optimization to establish optimal cluster centers and memberships, thereby achieving fuzzy ...
Bao, Yichen, Lu, Han, Gao, Quanxue
openaire +2 more sources
Fuzzy clustering for the within-season estimation of cotton phenology. [PDF]
PLoS One, 2023 Sitokonstantinou V +5 more
europepmc +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
Agribusiness, EarlyView.ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source