Results 41 to 50 of about 108,709 (265)
In-Air Hand Gesture Signature Recognition Using Multi-Scale Convolutional Neural Networks
JOIV: International Journal on Informatics Visualization, 2023 The hand signature is a unique handwritten name or symbol that serves as a proof of identity. Due to its practicality and widespread use, hand signature is still used by financial institutions as a means of verifying and validating the identity of their ...
Alvin Lim Fang Chuen +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
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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Topological signature for periodic motion recognition
CoRR, 2019 Ministerio de Economía y Competitividad MTM2015-67072 ...
Lamar León, Javier +2 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
Keypoint Signatures for Fast Learning and Recognition [PDF]
, 2008 Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the training itself is usually relatively slow and performed offline. Although methods have recently been proposed to train the classifier online, they can only learn a very limited number
Calonder, Michael +2 more
openaire +2 more sources
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Off-line Signature Recognition Using Weightless Neural Network and Feature Extraction [PDF]
Iraqi Journal for Electrical and Electronic Engineering, 2015 The problem of automatic signature recognition and verification has been extensively investigated due to the vitality of this field of research. Handwritten signatures are broadly used in daily life as a secure way for personal identification.
Ali Al-Saegh
doaj
Off-Line Handwritten Signature Recognition by Wavelet Entropy and Neural Network
Entropy, 2017 Handwritten signatures are widely utilized as a form of personal recognition. However, they have the unfortunate shortcoming of being easily abused by those who would fake the identification or intent of an individual which might be very harmful ...
Khaled Daqrouq +3 more
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Personal Identification based on Multi Biometric Traits [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2017 The biometric system that based on single biometric measure (Unimodal) are usually contained variety of problems and limitation like noisy data, does not provide high security and non-university, so we used the multibiometric system to improve the ...
Wigdan J. Al-Kubaisy, Muzhir S. Al-Ani
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