Results 131 to 140 of about 326,273 (311)
, 2016 ObjectivesSearching for chemicals that will safely enhance transdermal drug delivery is a significant challenge. This study applies support vector regression (SVR) for the first time to estimating the optimal formulation design of transdermal ...
Moss
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Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives
Advanced Materials, EarlyView.Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi +4 more
wiley +1 more source
SVM-Maj: a majorization approach to linear support vector machines with different hinge errors
Support vector machines (SVM) are becoming increasingly popular for the prediction of a binary dependent variable. SVMs perform very well with respect to competing techniques. Often, the solution of an SVM is obtained by switching to the dual.
Groenen, P.J.F. +2 more
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ITER: An algorithm for predictive regression rule extraction. Data warehousing and knowledge discovery. Proceedings. [PDF]
Various benchmarking studies have shown that artificial neural networks and support vector machines have a superior performance when compared to more traditional machine learning techniques.
Vanthienen, Jan +2 more
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Advanced Materials, EarlyView.This study demonstrates a self‐assembly process to generate free‐standing piezoelectric nanomembranes, forming ultracompact microtubular acoustic wave sensors and actuators. The miniaturized 3D piezoelectric platform reported in this work can be applied in telecommunication, energy harvesting, and acoustofluidics. Moreover, the 3D self‐assembly can add
Raphaël C. L‐M. Doineau +9 more
wiley +1 more source
Data Mining via Support Vector Machines
, 2001 Support vector machines (SVMs) have played a key role in broad classes of problems arising in various elds. Much more recently, SVMs have become the tool of choice for problems arising in data classi - cation and mining.
Mangasarian, Olvi
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Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection
Advanced Materials, EarlyView.Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel +7 more
wiley +1 more source
Advanced Materials, EarlyView.This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Noise-Aware Quantum Support Vector Regression Under Simulator-Based NISQ Approximation
IEEE AccessQuantum Support Vector Regression (QSVR) has become an exciting prospect of modeling the nonlinear relationship of high-dimensional data by using a kernel method.
Rammohan Reddy Kundavaram +2 more
doaj +1 more source