Results 21 to 30 of about 1,659 (221)

Research and implementation of license plate recognition based on android platform [PDF]

open access: yesMATEC Web of Conferences, 2020
This paper studies and optimizes license plate location and recognition in license plate recognition. A license plate recognition system based on Android platform is designed and implemented.
Sun Yueyue, Zhao Xuechen
doaj   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules. [PDF]

open access: yesChemistryOpen
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Wang H, Yu Y, Liu JC.
europepmc   +2 more sources

The Composite Incompossible: Forbidden symmetries

open access: yesPerformance Philosophy, 2022
This work is a collaboration between Steve Tromans and Heidi Schmidt, and operates in the fold between sound art and philosophy. Both researchers recorded improvised monologues on themes of folding, the tesseract, space and time, and Tromans mixed these
Steve Tromans, Heidi Schmidt
doaj   +1 more source

End to End Invoice Processing Application Based on Key Fields Extraction

open access: yesIEEE Access, 2022
In this paper, an automatic invoice processing system, which is in great demand among private and public companies, was proposed. The proposed system supports all invoice file types that can be submitted by companies. Companies can easily submit invoices
Halil Arslan
doaj   +1 more source

Improving the energy efficiency of sorting centers by identifying objects and digit-letter information with neural networks [PDF]

open access: yesE3S Web of Conferences, 2021
The article is devoted to the development and analysis of methods of identifying dynamic objects. A neural network with the architecture of SSD MobileNetV2 has been developed to solve the problem of detecting baggage tags and barcodes. Several approaches
Ivliev Evgeniy   +4 more
doaj   +1 more source

Bioxolography Using Diphenyliodonium Chloride and N-Vinylpyrrolidone Enables Rapid High-Resolution Volumetric 3D Printing of Spatially Encoded Living Matter. [PDF]

open access: yesAdv Mater
Bioxolography, a novel volumetric 3D‐bioprinting technique, enables rapid and high‐resolution fabrication of >1 cm3 engineered living materials. A newly developed three‐component photoinitiator system significantly enhances the photoreactivity of gelatin methacryloyl‐based bioresins, allowing for precise xolographic bioprinting.
Wolfel A   +6 more
europepmc   +2 more sources

OCR with Google Vision API and Tesseract

open access: yesThe Programming Historian, 2023
Google Vision and Tesseract are both popular and powerful OCR tools, but they each have their weaknesses. In this lesson, you will learn how to combine the two to make the most of their individual strengths and achieve even more accurate OCR results.
Isabelle Gribomont
doaj   +1 more source

Tesseract – a high-stability, low-noise fluxgate sensor designed for constellation applications [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems, 2022
Accurate high-precision magnetic field measurements are a significant challenge for many applications, including constellation missions studying space plasmas.
K. Greene   +4 more
doaj   +1 more source

First in situ measurements of the prototype Tesseract fluxgate magnetometer on the ACES-II-Low sounding rocket [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems
Ongoing innovation in next-generation fluxgate magnetometry is important for enabling future investigations of space plasma, especially multi-spacecraft experimental studies of energy transport in the magnetosphere and the solar wind.
K. Greene   +8 more
doaj   +1 more source

Tesseract: Parallelize the Tensor Parallelism Efficiently

open access: yesProceedings of the 51st International Conference on Parallel Processing, 2022
Together with the improvements in state-of-the-art accuracies of various tasks, deep learning models are getting significantly larger. However, it is extremely difficult to implement these large models because limited GPU memory makes it impossible to fit large models into a single GPU or even a GPU server. Besides, it is highly necessary to reduce the
Boxiang Wang   +3 more
openaire   +2 more sources

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