Results 261 to 270 of about 2,004,297 (387)

Vehicle Color Recognition in The Surveillance with Deep Convolutional Neural Networks [PDF]

open access: gold, 2015
Boyang Su   +4 more
openalex   +1 more source

The Value of Device Characterization for the Optimization of Organic Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen   +4 more
wiley   +1 more source

Integrating Aggregate Materials and Machine Learning Algorithms: Advancing Detection of Pathogen‐Derived Extracellular Vesicles

open access: yesAggregate, EarlyView.
Pathogen‐derived extracellular vesicle detection: theoretical insights and advanced methodologies: This review explores the theoretical foundations and practical applications of pEV detection, emphasizing the challenges and innovative strategies involving novel aggregate materials and machine learning for enhanced diagnostic accuracy.
Lihan Lai   +6 more
wiley   +1 more source

Deep convolutional neural network architecture for facial emotion recognition. [PDF]

open access: yesPeerJ Comput Sci
Pruthviraja D   +4 more
europepmc   +1 more source

Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications

open access: green, 2015
Yong‐Deok Kim   +5 more
openalex   +2 more sources

Recent Advances in Convolutional Neural Networks

open access: green, 2015
Jiuxiang Gu   +11 more
openalex   +2 more sources

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

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