Results 71 to 80 of about 28,526 (253)

Feature Selection for High Dimensional Data Using Monte Carlo Tree Search

IEEE Access, 2018
Feature selection is the preliminary step in machine learning and data mining. It identifies the most important and relevant features within a dataset by eliminating the redundant or irrelevant features.
Muhammad Umar Chaudhry, Jee-Hyong Lee
doaj   +1 more source

Race and Household Income Are Associated With Disease Outcomes in Pediatric Patients With Antineutrophil Cytoplasmic Antibody–Associated Vasculitis Hospitalized in the United States

Arthritis Care &Research, EarlyView.
Objective Race and household income impact outcomes in patients with rheumatic conditions; however, their role in pediatric antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV) remains poorly understood. We aimed to evaluate whether race and ethnicity and household income are associated with severe AAV disease and renal outcomes among
Roberto Alejandro Valdovinos, William Daniel Soulsby III, Emily von Scheven   +2 more
wiley   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, Accepted Article.
Objective VEXAS syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures. A VEXAS‐specific disease activity index (DAI) is an essential tool for reliably capturing changes in disease ...
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur, Faruk Kaya, Bora Derin, Mustafa Lütfi Öveçoğlu, Ju Li, Duygu Ağaoğulları   +5 more
wiley   +1 more source

Adaptive Semi-Personalized Email Classification Model (ASPEC) with Incremental Learning

Informatics
The volume of daily email traffic continues to grow rapidly, creating challenges in efficiently distinguishing important from irrelevant messages. Beyond spam detection, modern email systems classify messages into categories such as promotions, social ...
Worawit Kitikusoun, Nawaporn Wisitpongphan   +1 more
doaj   +1 more source

Characterization of Aluminized Layers on Inconel‐738 Alloy: Microstructure, Modeling of Aluminizing Kinetics, and Thermal Behavior

Advanced Engineering Materials, EarlyView.
This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe, Tuba Yener, Suayb Cagri Yener, Mourad Keddam, Cuma Bindal   +4 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Enhancing Strength and Electrical Conductivity in Al–Zr–Sc Conductor Alloys Through Sn and Sr Microalloying and Two‐Step Aging Treatment

Advanced Engineering Materials, EarlyView.
Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao, Emad M. Elgallad, Alexandre Maltais, X.‐Grant Chen   +3 more
wiley   +1 more source

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

Frontiers in Big Data
In the face of increasing cyberattacks, Structured Query Language (SQL) injection remains one of the most common and damaging types of web threats, accounting for over 20% of global cyberattack costs.
Emanuel Casmiry, Neema Mduma, Ramadhani Sinde   +2 more
doaj   +1 more source

Near‐Field Electrospinning Micro‐Printhead Achieves Precise Control of Nanofiber Deposition

Advanced Engineering Materials, EarlyView.
A micro‐printhead for near‐field electrospinning enables reproducible deposition of polymer nanofibers with diameters below 50 nm. Systematic parameter studies uncover the mechanisms linking operating conditions to fiber morphology, paving the way for precise and low‐cost nanoscale 3D manufacturing.As a high‐resolution, cost‐effective, and rapid ...
Han Xu, Dario Mager, Jan G. Korvink
wiley   +1 more source