Results 51 to 60 of about 1,172,362 (258)
Silhouette coefficient variation curve with number of clusters (MiniBatchKMeans).
In Fig 11, the horizontal axis represents the number of clusters of clusters and the vertical axis represents the silhouette coefficients. Fig 11(a) shows the overall change curve of the silhouette coefficients, and Fig 11(b) shows the exact change of ...
Dawei Xu (83739) +4 more
core +1 more source
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
Comparison of K-Medoids Method and Analytical Hierarchy Clustering on Students' Data Grouping
One sign of how successfully the educational process is carried out on campus in a university is the timely graduation of students. This study compares the Analytic Hierarchy Clustering (AHC) approach with the K-Medoids method, a data mining technique ...
Lisna Zahrotun +4 more
doaj +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out
Drop out merupakan penghentian atau pemutusan hubungan studi mahasiswa di perguruan tinggi, hal ini disebabkan oleh beberapa hal yang telah ditentukan oleh universitas. Perguruan tinggi dapat membuat kebijakan guna meminimalkan jumlah mahasiswa drop out
Syamsul Bahri, Dwi Marisa Midyanti
doaj +1 more source
Abstract Representation of Movement Parameters in Basal Ganglia Output
The basal ganglia output provides a scalable velocity/position signal across behavioral contexts, supporting the idea that these variables are represented in the brain as abstract entities rather than as fixed changes in joint angles or specific sets of body effectors.
Ana Silvia Báez‐Cordero +3 more
wiley +1 more source
Psychometric properties of a silhouette scale on body image in adults [PDF]
Body image is a multifaceted construct involving several dimensions. Itis socially defined and the way we feel about our own image influences various aspects of our lives.
ANDRÉ DOS SANTOS COSTA +6 more
core +1 more source
In collegiate endurance athletes, a 6‐week randomized CPYE intervention yielded time‐ and sex‐dependent shifts in field‐based cardiorespiratory, metabolic, and redox indices, accompanied by changes in gut multi‐omics profiles. An exploratory extension during intensified training generates hypotheses warranting future validation.
Meng Zhang +8 more
wiley +1 more source
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source

