Results 211 to 220 of about 1,011,171 (338)

Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features

, 2011
Michael Döllinger, Jörg Lohscheller, Jan G. Švec, Andrew J. McWhorter, Melda Kunduk   +4 more
openalex   +2 more sources

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

An optimized support vector machine for lung cancer classification system. [PDF]

Front Oncol
Oyediran MO, Ojo OS, Raji IA, Adeniyi AE, Aroba OJ.   +4 more
europepmc   +1 more source

A New Ensemble Model based Support Vector Machine for Credit Assessing

, 2016
Jianrong Yao, Cheng Lian
openalex   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

α-decay half-life predictions with support vector machine. [PDF]

Sci Rep
Jalili A, Pan F, Draayer JP, Chen AX, Ren Z.   +4 more
europepmc   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Exploring the relationship between annual soil loss and formation rate in different land use scenarios using support vector machine (SVM) learning models in Tigray Highlands. [PDF]

Sci Rep
Haftu M, Gidey E, Mhangara P, Dikinya O.
europepmc   +1 more source

Atomic‐Scale Insights into Nanoparticle Exsolution at Dislocations in Dislocation‐Engineered Catalysts

Advanced Materials, EarlyView.
This study reveals an atomic‐level correlation between bulk dislocations and the exsolution of surface nanoparticles through a novel approach for dislocation engineering in epitaxial thin films. Employing in situ scanning transmission electron microscopy, two primary reasons for the frequent nucleation of dislocation‐associated nanoparticles are ...
Moritz Lukas Weber, Moritz Kindelmann, Dylan Jennings, Jan Hölschke, Regina Dittmann, Joachim Mayer, Wolfgang Rheinheimer, Xufei Fang, Felix Gunkel   +8 more
wiley   +1 more source

Intrusion detection system based on machine learning using least square support vector machine. [PDF]

Sci Rep
Waghmode P, Kanumuri M, El-Ocla H, Boyle T.   +3 more
europepmc   +1 more source