Globular clusters are often described as ancient, tightly bound fossils of the early Milky Way. It has been believed that ...
Background Although multiple studies have offered self-collection for human papillomavirus (HPV)-based cervical screening in ...
Astronomers at Princeton University have uncovered evidence that the outer solar system is more structured than long believed ...
The newly identified cluster of Kuiper Belt objects lies about 4 billion miles from the Sun, offering fresh clues about how ...
Introduction Like many countries globally, childhood immunisation coverage is below government targets in the Philippines and ...
Ali Hussain has a background that consists of a career in finance with large financial institutions and in journalism covering business. Vikki Velasquez is a researcher and writer who has managed, ...
Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
Abstract: Deep metric learning has gained significant attention recently due to its promising performance in image retrieval, face recognition, and clustering tasks. Deep metric learning algorithms ...
Cluster sampling divides a population into smaller clusters, simplifying large-scale research. Cluster sampling is a probability sampling method where researchers divide a population into smaller ...
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