Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
Frontiers

Construction of a risk prediction model for postoperative atrial fibrillation in lung cancer patients based on multi-dimensional feature fusion and ensemble learning

Introduction: Surgery remains a cornerstone in lung cancer treatment, yet a subset of patients face high risks of recurrence or mortality postoperatively. Poor prognosis significantly shortens ...
IEEE

Early Detection of Anemia Using Ensemble Machine Learning Algorithms with Data Balancing

Abstract: A global public health concern that impacts not just the impoverished but also rich populated countries is anemia. It's an international concern for public health assurance. Although its ...
Nature

AI discovers learning algorithm that outperforms those designed by humans

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
IEEE

Leveraging Bio-Inspired Algorithms and Ensemble Learning for Robust Twitter Spam Detection

Abstract: The inadequate sampling technique that focusses on the bio-inspired technique and collaborative learning is proposed for the purpose of addressing class disparities while dealing with ...