Results 81 to 90 of about 3,548 (295)
SEMIAUTOMATIC DETECTION OF TUMORAL ZONE
This paper describes a robust method based on the cooperation of fuzzy classification and regions segmentation algorithms, in order to detect the tumoral zone in the brain Magnetic Resonance Imaging (MRI). On one hand, the classification in fuzzy sets is
Ezzeddine Zagrouba, Walid Barhoumi
doaj +1 more source
Atomically dispersed CuOx (CPCu‐1) forms isolated Cu–Ov sites that enable defect‐mediated O2 activation and fast electron/proton transfer via interfacial synergy. In contrast, thick CuOx clusters (CPCu‐10) promote a surface‐adsorption‐controlled pathway with intermediate accumulation, highlighting a mechanism switch from interfacial activation to ...
Yang‐Yang Hsu +8 more
wiley +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
MEASURES OF LOCAL ENTROPIES FOR COMPOSITIVE FUZZY PARTITIONS
The aim of this paper is to characterize of the measures of entropies without probability or fuzzy measure for compositive fuzzy partitions, taking into account the so-called locality property. We propose a system of functional equations, whose solutions
DORETTA VIVONA +2 more
core +1 more source
The genome of Rhodococcus erythropolis D‐1 was analyzed by bioinformatic tools to mine a novel nonribosomal peptide synthetase (NRPS) gene cluster. A nonribosomal peptide analog ZURJC5 associated with the NRPS was chemically synthesized. Through structure‐activity relationship studies, ZURJC28 was ultimately obtained and showed antibacterial activity ...
Keyi Chen +9 more
wiley +1 more source
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
On the selection of m for Fuzzy c-Means
Fuzzy c-means is a well known fuzzy clustering algorithm. It is an unsupervised clustering algorithmthat permits us to build a fuzzy partition from data.
Vicenç Torra, Torra, Vicenç,
core +1 more source
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji +17 more
wiley +1 more source
A novel career prediction method based on fuzzy model—Fuzzy clustering approach
Effective career decision-making strategies can help individuals enhance their competitiveness in the workplace, and assist companies in hiring more suitable employees.
Li Zhang, Xueying Gu
doaj +1 more source
Performance characterization of clustering algorithms for colour image segmentation [PDF]
This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy C-Means clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation ...
Ilea, Dana E. +2 more
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