Results 11 to 20 of about 682 (182)
GraphReco: Probabilistic Structure Recognition for Chemical Molecules. [PDF]
ChemistryOpenMolecule 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
Bioxolography Using Diphenyliodonium Chloride and N-Vinylpyrrolidone Enables Rapid High-Resolution Volumetric 3D Printing of Spatially Encoded Living Matter. [PDF]
Adv MaterBioxolography, 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
First in situ measurements of the prototype Tesseract fluxgate magnetometer on the ACES-II-Low sounding rocket [PDF]
Geoscientific Instrumentation, Methods and Data SystemsOngoing 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
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OCR with Google Vision API and Tesseract
The 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]
Geoscientific 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
Tesseract: Parallelize the Tensor Parallelism Efficiently
Proceedings 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
, 2023 4 pages, 6 figures, Bridges 2023 Conference ...
Estévez, Manuel +2 more
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Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019 We propose Tesseract, a secure real-time cryptocurrency exchange service. Existing centralized exchange designs are vulnerable to theft of funds, while decentralized exchanges cannot offer real-time cross-chain trades. All currently deployed exchanges are also vulnerable to frontrunning attacks.
Iddo Bentov +5 more
openaire +1 more source
Applied System Innovation, 2019 Companies are relying more on artificial intelligence and machine learning in order to enhance and automate existing business processes. While the power of OCR (Optical Character Recognition) technologies can be harnessed for the digitization of image ...
Coenrad de Jager, Marinda Nel
doaj +1 more source
PROCESSING IMAGES OF SALES RECEIPTS FOR ISOLATING AND RECOGNISING TEXT INFORMATION
Вестник Дагестанского государственного технического университета: Технические науки, 2020 Objectives. This article presents an application for the processing of scanned images of sales receipts for subsequent extraction of text information using the Tesseract OCR Engine.
A. S. Nazdryukhin +2 more
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