Results 211 to 220 of about 469,122 (324)

Wasserstein support vector machine: Support vector machines made fair

European Journal of Operational Research
Emilio Carrizosa, Thomas Halskov, Dolores Romero Morales   +2 more
openaire   +1 more source

Ion‐Regulating Membranes with Surface‐Enriched Charge Networks Enabling Stable Zinc‐Manganese Flow Batteries

Advanced Materials, EarlyView.
An ion‐regulating membrane is designed with a surface‐concentrated positively‐charged Zn2⁺ crosslinked network for zinc‐manganese flow batteries. The membrane effectively mitigates proton crossover and regulates zinc ion distribution to avoid dendrites, thus significantly improving areal capacity and prolonging the lifespan with a record accumulated ...
Jine Wu, Jiafeng Lei, Yi‐Chun Lu
wiley   +1 more source

Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes. [PDF]

Sci Rep
Khan M, Hooda BK, Gaur A, Singh V, Jindal Y, Tanwar H, Sharma S, Sheoran S, Vishwakarma DK, Khalid M, Albakri GS, Alreshidi MA, Choi JR, Yadav KK.   +13 more
europepmc   +1 more source

Calculation of exact Shapley values for support vector machines with Tanimoto kernel enables model interpretation. [PDF]

iScience, 2022
Feldmann C, Bajorath J.
europepmc   +1 more source

Hidden Space Smooth Support Vector Machine with C Means Clustering [PDF]

, 2016
Jinjin Liang, Wenhao Xie, Xiaoyan Wang
openalex   +1 more source

OPTIMIZATION OF SUPPORT VECTOR MACHINE (SVM) BASED FORWARD SELECTION FOR PREDICTION OF INCOMING STUDENTS CONTINUE TO PRIVATE COLLEGE

, 2023
IQBAL Fahmi
openalex   +2 more sources

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Tooth shape and sex estimation: a 3D geometric morphometric landmark-based comparative analysis of artificial neural networks, support vector machines, and Random Forest models. [PDF]

3 Biotech
Natarajan S, Ahmed J, Sundarraj R, Vinay V, Shetty S, Jose NP, Chowdappa S, Carnelio S.   +7 more
europepmc   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Leveraging Artificial Neural Networks and Support Vector Machines for Accurate Classification of Breast Tumors in Ultrasound Images. [PDF]

Cureus
Othman Abdullah M, Altun Y, Maghded Ahmed R.   +2 more
europepmc   +1 more source