Results 61 to 70 of about 176,617 (264)

Support Vector Machines (SVMs) versus Multilayer Perception (MLP) in data classification

open access: yesEgyptian Informatics Journal, 2012
In this paper, we introduce a new kernel function for improving the accuracy of the Support Vector Machines (SVMs) classification. The proposed kernel function is stated in general form and is called Gaussian Radial Basis Polynomials Function (GRPF) that
E.A. Zanaty
doaj   +1 more source

Crack‐Growing Interlayer Design for Deep Crack Propagation and Ultrahigh Sensitivity Strain Sensing

open access: yesAdvanced Functional Materials, EarlyView.
A crack‐growing semi‐cured polyimide interlayer enabling deep cracks for ultrahigh sensitivity in low‐strain regimes is presented. The sensor achieves a gauge factor of 100 000 at 2% strain and detects subtle deformations such as nasal breathing, highlighting potential for minimally obstructive biomedical and micromechanical sensing applications ...
Minho Kim   +11 more
wiley   +1 more source

Development of a Particle Interaction Kernel Function in MPS Method for Simulating Incompressible Free Surface Flow

open access: yesJournal of Applied Mathematics, 2011
We aimed to derive a kernel function that accounts for the interaction among moving particles within the framework of particle method. To predict a computationally more accurate moving particle solution for the Navier-Stokes equations, kernel function ...
Tony W. H. Sheu   +2 more
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Kernel methods and their derivatives: Concept and perspectives for the earth system sciences.

open access: yesPLoS ONE, 2020
Kernel methods are powerful machine learning techniques which use generic non-linear functions to solve complex tasks. They have a solid mathematical foundation and exhibit excellent performance in practice.
J Emmanuel Johnson   +4 more
doaj   +1 more source

Consumed by Abdominal Distention

open access: yes
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge   +3 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Shape‐Morphing Nanoengineered Hydrogel Ribbons as Hemostats

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a self‐assembling, shape‐morphing nanoengineered hydrogel ribbon system that rapidly forms porous aggregates in situ for efficient hemostasis in trauma and surgical applications. Abstract Rapid and effective hemorrhage control remains a major challenge in trauma and surgical care, particularly for complex or noncompressible wounds.
Ryan Davis Jr   +9 more
wiley   +1 more source

WLAN indoor positioning algorithm based on skewness-kurtosis testing

open access: yesTongxin xuebao, 2012
Focused on the issues that large positioning errors produced by the inconsistency of received signal strength (RSS)sample population distributions under indoor wireless local area network (WLAN),an indoor positioning algorithm based on skewness-kurtosis ...
Zhen-long SONG   +4 more
doaj  

Unraveling Quantitative Sensing Mechanism and Predictive Molecular Metrics for High‐Performance OFET Amine Sensors

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces a novel chloro boron subphthalocyanine/polymer blend OFET sensor achieving 0.005 ppb limit of detection for ammonia at room temperature and high selectivity against similar amines. An original theoretical framework is proposed to describe the sensing mechanism, relating analyte molecular volume and Lewis basicity to sensor ...
Kavinraaj Ella Elangovan   +6 more
wiley   +1 more source

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