Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Abstract: Wireless Sensor Networks (WSNs) offer a powerful technology for sensing and transmitting data across vast geographical regions. However, limitations inherent to WSNs, such as low-power ...
This repository contains a comprehensive research project focused on detecting Primary User Emulation Attacks (PUEA) in Cognitive Radio Networks through advanced machine learning clustering techniques ...
1 Department Health informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia 2 Department of Community Health Nursing, School of Nursing ...
Example of DBSCAN Video E-card showing mathematically generated clustering patterns created by Smart Banner Hub's DBSCAN Animation Engine The DBSCAN Animation Engine represents the first time that ...
Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
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