Results 131 to 140 of about 348,140 (318)

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

A deep-SVM hybrid framework with enhanced EEG feature engineering and SHAP-based explainability for Alzheimer’s classification

Scientific Reports
Accurate classification among Alzheimer’s Disease (AD), Fronto Temporal Dementia (FTD), and Cognitively Normal (CN) adults from EEG remains challenging.
Frnaz Akbar, Yazeed Alkhrijah, Syed Muhammad Usman, Shehzad Khalid, Imran Ihsan, Mohamad A. Alawad   +5 more
doaj   +1 more source

Anomaly-Based DDoS Detection Using Improved Deep Support Vector Data Description (Deep SVDD) and Multi-Model Ensemble Approach

Journal of Applied Informatics and Computing
Distributed Denial-of-Service (DDoS) attacks remain a critical threat to network infrastructure, demanding robust and efficient detection mechanisms. This study proposes an enhanced Deep Support Vector Data Description (Deep SVDD) model for unsupervised ...
Bahtiar Imran, Lalu Delsi Samsumar, Ahmad Subki, Wenti Ayu Wahyuni, Zumratul Muahidin, Muh Nasirudin Karim, Ahmad Yani, M. Zulpahmi   +7 more
doaj   +1 more source

Microstructure Design of Steel‐Spinel Composites via Spark Plasma Sintering Process

Advanced Engineering Materials, EarlyView.
This study illustrates how spark plasma sintering at reduced oxygen partial pressure enables controlled formation of steel‐spinel composites through tailored redox reactions and cation exchange. Comparison of the MgO–Fe2O3, steel–(MgO+Cr2O3), and steel–(MgO+Fe2O3) systems shows how oxygen activity and interface chemistry govern spinel formation, phase ...
Mahnaz Mehdizadehlima, Christian Schimpf, Stefan Martin, Olga Fabrichnaya, David Rafaja   +4 more
wiley   +1 more source

Ancient use and long-distance transport of the Four Corners Potato (Solanum jamesii) across the Colorado Plateau: Implications for early stages of domestication.

PLoS ONE
Despite its long history, utilitarian value, and cultural significance to several Indigenous Tribes in the Southwest USA, the extent to which the Four Corners potato (Solanum jamesii Torr.) has been domesticated requires circumscription. Establishing the
Lisbeth A Louderback, Cynthia Wilson, Stefania L Wilks, Kaley Joyce, Sara Rickett, John Bamberg, Alfonso Del Rio, Bruce M Pavlik   +7 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Distributions a support compact et representations unitaires [PDF]

, 1998
Dominique Manchon
openalex   +1 more source

Production of MgO/TiC Composites From MgO‐C Recyclates Using Spark Plasma Sintering

Advanced Engineering Materials, EarlyView.
Using the spark plasma sintering technique, MgO/TiC composites are manufactured from recycled MgO‐C refractories stemming from the steel production that were mixed with titanium powder. This article shows, how the size of the Ti grains and their distribution in the powder mixture affect the local carbon concentration in TiC.
Jiayan Yu, Christian Schimpf, Stefan Martin, David Rafaja   +3 more
wiley   +1 more source

Cross-Material Benchmarking of Machine Learning Models for Cutting Force Prediction in CNC Turning

Machines
Accurate prediction of cutting force is essential for process optimization and intelligent control in CNC turning, yet cross-material performance comparisons of machine learning models remain limited.
Mohammad S. Alsoufi, Saleh A. Bawazeer
doaj   +1 more source

Direct Metal Deposition of Graphene–Ti28Nb35.4Zr Matrix Composites With Enhanced Mechanical, Corrosion, and Biocompatibility Properties for Bone Implants

Advanced Engineering Materials, EarlyView.
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir, Jixing Lin, Yuncang Li, Li Zhu, Paul F. A. Wright, Cuie Wen   +5 more
wiley   +1 more source