Results 131 to 140 of about 88,237 (314)

Accuracies of different combinations of classifier, feature and fusion rule: from right to left sequentially GLCM+SVM+WMR, GLCM+KNN+MR, LBP+BPNN+MR, LBP+BPNN+WMR, LBP+KNN+MR, LBP+KNN+WMR, LBP+KNN+WSR, LDA+KNN+MR, SIFT(vlfeat)+MR and SIFT(vlfeat)+WMR.

, 2014
Accuracies of different combinations of classifier, feature and fusion rule: from right to left sequentially GLCM+SVM+WMR, GLCM+KNN+MR, LBP+BPNN+MR, LBP+BPNN+WMR, LBP+KNN+MR, LBP+KNN+WMR, LBP+KNN+WSR, LDA+KNN+MR, SIFT(vlfeat)+MR and SIFT(vlfeat)+WMR.
Ching Wen Yang (669420), Kuo-Kun Tseng (669416), Zu Yi Hsieh (669418), Huang-Nan Huang (669421), Jiaqian Li (669415)   +4 more
core   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

A New Multi-Path Hybrid Classifier for Transformer Oil Fault Diagnostic

ENP Engineering Science Journal
This work aims to provide advances in diagnosis algorithms using intelligent techniques and represents an application in fault detection and classification in oil-immersed power transformers.
Youcef Benmahamed, Omar Kherif, Sofiane Chiheb, Madjid Teguar, Sherif Ghoneim, Ahmed Boubakeur   +5 more
doaj   +1 more source

B-kNN to Improve the Efficiency of kNN

Proceedings of the 6th International Conference on Data Science, Technology and Applications, 2017
Dhrgam Al Kafaf, Dae-Kyoo Kim, Lunjin Lu
openaire   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Development of a Web-Based Expert System for Early Tuberculosis Diagnosis Using K-Nearest Neighbors

Journal of Applied Informatics and Computing
Tuberculosis (TB) remains a major infectious disease that continues to challenge global public health, particularly in regions with limited access to early diagnostic services.
Lukas Valentino, Vivi Nur Wijayaningrum, Candra Bella Vista   +2 more
doaj   +1 more source

Bayesian Exploration of Metal‐Organic Framework‐Derived Nanocomposites for High‐Performance Supercapacitors

Advanced Intelligent Discovery, EarlyView.
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc, Pritam Banerjee, Felipe Jacques Lima Duarte, Joerg R. Jinschek, Premkumar Murugesan, Babak Rezaei, Stephan Sylvest Keller, Roland A. Fischer, Mian Zahid Hussain   +8 more
wiley   +1 more source

DiabTrack: Sistem Prediksi Dini Diabetes Melitus Tipe 2 berbasis Web menggunakan Algoritma K-Nearest Neighbors

Edumatic
Type 2 diabetes mellitus is a chronic disease that is often not detected early enough, increasing the risk of serious complications. Based on this, early detection of this disease is very important to reduce its negative impact.
Aditya Gilang Pangestu, Sri Winarno, Adhitya Nugraha, Almas Najiib Imam Muttaqin   +3 more
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Biobased Acrylate Photocurable Resin Formulation for Stereolithography 3D Printing

ACS Omega, 2018
Vincent S. D. Voet, Tobias Strating, Geraldine H. M. Schnelting, Peter Dijkstra, Martin Tietema, Jin Xu, Albert J. J. Woortman, Katja Loos, Jan Jager, Rudy Folkersma   +9 more
doaj   +1 more source