Results 61 to 70 of about 1,897,899 (303)
Signature recognition using neural network probabilistic
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 The signature of each person is different and has unique characteristics. Thus, this paper discusses the development of a personal identification system based on it is unique digital signature.
Heri Nurdiyanto, Hermanto Hermanto
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An examination of quantitative methods for Forensic Signature Analysis and the admissibility of signature verification system as legal evidence. [PDF]
, 2015 The experiments described in this thesis deal with handwriting characteristics which are involved in the production of forged and genuine signatures and complexity of signatures.
Chatzisterkotis, Thomas
core
Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
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The Power of Brand Signature: Unpacking its Impact on Customer Loyalty
Shodh SariIn the contemporary era, consumer preferences are rapidly evolving towards branded products, leading to a stronger connection between consumers and markets. Marketers are using social media more and more to promote their brand’s signature.
Dr. Ritu Bajaj +2 more
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
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Handwritten signature preprocessing for off-line recognition systems [PDF]
E3S Web of ConferencesIn the process of handwritten signature recognition, preliminary processing of the signature is an important step before identifying informative features.
Akhundjanov Umidjon +5 more
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Gesture recognition by learning local motion signatures [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 This paper overviews a new gesture recognition framework based on learning local motion signatures (LMSs) introduced by [5]. After the generation of these LMSs computed on one individual by tracking Histograms of Oriented Gradient (HOG) [2] descriptor, we learn a codebook of video-words (i.e.
Kaâniche, Mohamed, Bremond, François
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
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Biyometrik Güvenlik Sistemlerinin İncelenmesi
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2015 Biyometrik sistemler, bireylerin fiziksel ve davranışsal özelliklerini tanımlayarak kimliklendirme yapan sistemlerdir. En yaygın kullanılanları ise parmak izi, el geometrisi, ses, retina, yüz, imza vb. biyometriklerdir.
Filiz Gürbüz, Nursel Yalçın
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Sensors, 2012 The automatic interpretation of human gestures can be used for a natural interaction with computers while getting rid of mechanical devices such as keyboards and mice.
Derek D. Lichti, Hervé Lahamy
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