Frontiers

3D colored point cloud classification of a deep-sea cold-water coral and sponge habitat using geometric features and machine learning algorithms

Classification of benthic habitats in the deep sea is instrumental in managing and monitoring marine ecosystems as it provides distinct units for which changes can be quantified over time. These ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
IEEE

An Unsupervised Clustering Technique for Dual-Pol Sentinel-1 SLC and GRD SAR Data

Abstract: Synthetic aperture radar (SAR) data classification has gained significant research interest, as accurate land-cover information is vital in a wide range of planning and management activities ...
CNN

TikTok’s algorithm will be overseen by Oracle in the US after the sale is completed

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...
Scientific Research Publishing

Goldstein, M. and Uchida, S. (2016) A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data. PLOS ONE, 11, e0152173.

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
Frontiers

Automated classification of MESSENGER plasma observations via unsupervised transfer learning

1 Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States 2 Southwest Research Institute, San Antonio, TX, United States Our methodology demonstrates a proof of concept of the ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...