AI enables a who's who of brown bears in Alaska

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Scientific Research Publishing

Spatial Clustering Patterns of Thermal Extremes over Epochs in Douala, Littoral Region of Cameroon ()

Awuh, M.E. (2026) Spatial Clustering Patterns of Thermal Extremes over Epochs in Douala, Littoral Region of Cameroon.
Scientific Research Publishing

Hatamlou, A. (2014) Heart: A Novel Optimization Algorithm for Cluster Analysis. Progress in Artificial Intelligence, 2, 167-173.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
IEEE

A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multi-Objective Optimization

Abstract: Prediction-based dynamic multi-objective optimization algorithms (DMOEAs) are widely used to explore the relationships of Pareto-optimal solutions (POSs) under continuous time steps, aiming ...
Frontiers

Identification of mitophagy-related biomarkers in severe acute pancreatitis: integration of WGCNA, machine learning algorithms and scRNA-seq

1 Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China 2 Clinical Center for Acute Pancreatitis, Capital Medical University, Beijing, China Background: Mitophagy ...
GitHub

Iterative Gene clUster Analysis, a high-throughput method for gene cluster family identification.

IGUA is a method for high-throughput content-agnostic identification of Gene Cluster Families (GCFs) from gene clusters of genomic and metagenomic origin. It performs three clustering iterations to ...
Frontiers

Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation

Introduction: Spinal cord injury (SCI) severely affects the central nervous system. Copper homeostasis is closely related to mitochondrial regulation, and cuproptosis is a novel form of cell death ...