Results 31 to 40 of about 9,019,139 (162)

Quantum-Enhanced K-Medoids Clustering: Comparative Analysis of Stroke Medical Data

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Stroke is a severe medical condition that occurs when the blood supply to parts of the brain is interrupted or reduced, resulting in brain tissue that lacks oxygen and nutrients. This causes brain cells to start to die in minutes.
Ricardo Siahaan, Swingly Purba, Jeremia Siregar, Marvin Frans Sakti Hutabarat, Rasmi Sitohang   +4 more
doaj   +1 more source

Analisis Komparasi Algoritma K-Means Dan K-Medoids Dalam Segmentasi Data Untuk Strategi Promosi Mahasiswa Baru Di Universitas X

Komputika
Peningkatan efektivitas strategi promosi menjadi tantangan bagi institusi pendidikan dalam menarik calon mahasiswa baru. Penelitian ini membandingkan performa algoritma K-Means dan K-Medoids dalam segmentasi calon mahasiswa berdasarkan data Penerimaan ...
Teguh Syafrudin, Arief Hermawan, Donny Avianto, Indra Maulana   +3 more
doaj   +1 more source

scTIDE: Deciphering Critical Transitions Through Cell‐Perturbed Manifold Graphs and Optimal Transport Conditional Flow Matching

Advanced Science, EarlyView.
scTIDE identifies single‐cell tipping points by combining manifold‐based graph representations with optimal‐transport conditional flow matching, which preserves intrinsic topology and models distributional dynamics. It supports critical‐transition detection at individual‐cell resolution, prediction of unseen cells, and dimensionality reduction and ...
Jiayuan Zhong, Bowen Niu, Yongbo Yu, Shiyang Nie, Xuerong Gu, Pei Chen, Rui Liu   +6 more
wiley   +1 more source

Biometric cryptosystem based on keystroke dynamics and k-medoids [PDF]

, 2011
An approach for a biometric cryptosystem based on keystroke dynamics and the k-medoids algorithm is proposed. The stages that comprise the approach are training enrollment and user verification.
VICENTE ALARCON AQUINO, HECTOR AUGUSTO GARCIA BALEON, JUAN MANUEL RAMIREZ CORTES, OLEG STAROSTENKO BASARAB, María del Pilar Gómez Gil   +4 more
core  

Identifying a Csmd3+ Microglial Subpopulation that Drives Cold‐to‐Hot Transition and Immune‐Cure in Glioblastoma

Advanced Science, EarlyView.
The study establishes an immune‐cure (ICu) mouse model based on a TMEMed G422TN‐GBM system that faithfully recapitulates human TMEMed GBM. scRNA‐seq analysis reveals a Csmd3+ microglial subset with innate immune memory (IIM) potential that potently suppresses GBM growth, drives a TME cold‐to‐hot transition, and induces 100% ICu in long‐term survival ...
Hai‐Feng Jiang, Pan‐Pan Gao, Yu‐Wen Du, Li‐Qin Wu, En‐Zhi Yin, Qi An, Ze‐Hua Ding, Jin‐Wen Shi, Ya Shu, Ruoqiao Chen, Feng Liu, Mingfeng Li, Xiao Qian Chen   +12 more
wiley   +1 more source

Implementasi Algoritma K-Medoids dan K-Means untuk Pengelompokkan Wilayah Sebaran Cacat pada Anak

Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi, 2018
Usia dibawah 18 tahun merupakan usia yang baik dalam pertumbuhan dan perkembangan fisik dan mental pada seseorang. Pertumbuhan dan perkembangan yang baik akan menjadi modal bagi kelangsungan anak sebagai generasi penerus yang baik.
Dini Marlina, Nure lina, Andri Fernando, Aditya Ramadhan   +3 more
doaj   +1 more source

Crosstalk Between CTSB+ Glioblastoma Cells and S100A10+ Macrophages: A Self‐Reinforcing Circuit Promotes Immune Evasion and Limits Response to Immunotherapy

Advanced Science, EarlyView.
In glioblastoma, M2‐polarized macrophages secrete IL‐6, which activates STAT3 signaling in tumor cells to upregulate CTSB. Tumor‐derived CTSB binds the C‐terminus of macrophage S100A10, reinforcing M2 polarization and further IL‐6 secretion, thereby establishing a feedforward IL‐6/STAT3/CTSB/S100A10 loop. This cascade drives tumor growth, invasion, and
Hao Zhang, Nan Zhang, Xisong Liang, Jie Wen, Ziyu Dai, Wantao Wu, Shuyu Li, Songshan Feng, Zaoqu Liu, Zhiwei Xia, Peng Luo, Quan Cheng   +11 more
wiley   +1 more source

Manhattan Distance-based K-Medoids Clustering Improvement for Diagnosing Diabetic Disease

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Diabetes is a metabolic disorder characterized by blood glucose levels above normal limits. Diabetes occurs when the body is unable to produce sufficient insulin to regulate blood sugar levels.
Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi   +3 more
doaj   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
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, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Document Clustering using K-Medoids

CoRR, 2015
People are always in search of matters for which they are prone to use internet, but again it has huge assemblage of data due to which it becomes difficult for the reader to get the most accurate data. To make it easier for people to gather accurate data, similar information has to be clustered at one place.
openaire   +3 more sources