Results 171 to 180 of about 1,149,368 (349)

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

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces

open access: yesAdvanced Intelligent Systems, EarlyView.
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun   +4 more
wiley   +1 more source

LAVRF: Sign language recognition via Lightweight Attentive VGG16 with Random Forest.

open access: yesPLoS ONE
Sign language recognition presents significant challenges due to the intricate nature of hand gestures and the necessity to capture fine-grained details.
Edmond Li Ren Ewe   +4 more
doaj   +1 more source

A new instrumented approach for translating American Sign Language into sound and text [PDF]

open access: green, 2004
Jose L. Hernandez-Rebollar   +2 more
openalex   +1 more source

YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus [PDF]

open access: yesarXiv
Even for better-studied sign languages like American Sign Language (ASL), data is the bottleneck for machine learning research. The situation is worse yet for the many other sign languages used by Deaf/Hard of Hearing communities around the world. In this paper, we present YouTube-SL-25, a large-scale, open-domain multilingual corpus of sign language ...
arxiv  

Numeral Incorporation In American Sign Language [PDF]

open access: yes, 2013
Numeral incorporation is a moderately productive process in ASL which combines a numeral and a base to form a compounded fully formed sign. Numeral-incorporated signs involve some sort of simultaneity of the base and the numeral.
Jones, Vanessa L.
core   +1 more source

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