Results 41 to 50 of about 800,572 (280)

Acute Neurological Events in Children With Hemoglobin SC Disease: A Multicenter Retrospective Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurological manifestations in children with hemoglobin SC (HbSC) disease remain insufficiently characterized, particularly regarding acute events. The aim of this study was to describe the spectrum and frequency of acute neurological events in a multicenter cohort of children with HbSC disease.
Célia Paulmin   +11 more
wiley   +1 more source

Offline Bengali Writer Verification by PDF-CNN and Siamese Net [PDF]

open access: yes, 2018
Automated handwriting analysis is a popular area of research owing to the variation of writing patterns. In this research area, writer verification is one of the most challenging branches, having direct impact on biometrics and forensics.
Chaudhuri, Bidyut   +8 more
core   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan   +3 more
wiley   +1 more source

A Riemannian Dichotomizer Approach on Symmetric Positive Definite Manifolds for Offline, Writer-Independent Signature Verification

open access: yesApplied Sciences
Automated handwritten signature verification continues to pose significant challenges. A common approach for developing writer-independent signature verifiers involves the use of a dichotomizer, a function that generates a dissimilarity vector with the ...
Nikolaos Vasilakis   +2 more
doaj   +1 more source

Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics

open access: yesIEEE Access, 2018
Systems based on deep neural networks have made a breakthrough in many different pattern recognition tasks. However, the use of these systems with traditional architectures seems not to work properly when the amount of training data is scarce.
Ruben Tolosana   +3 more
doaj   +1 more source

Convolutional Neural Networks for Off-Line Writer Identification Based on Simple Graphemes

open access: yesApplied Sciences, 2020
The writer’s identification/verification problem has traditionally been solved by analyzing complex biometric sources (text pages, paragraphs, words, signatures, etc.).
Marco Mora   +2 more
doaj   +1 more source

Redefinisi Kosakata Terkait Perang Bahasa (Kajian Linguistik Forensik)

open access: yesDiglosia, 2021
The purpose of this study is to formulate a redefinition of vocabulary related to language wars. This study uses descriptive qualitative research methods.
Ali Kusno
doaj   +1 more source

Safety and Effectiveness of a High‐Dose, Tailored Tissue Plasminogen Activator Therapy Protocol: A Joint Pediatric Hematology and Cardiac ICU Quality Improvement Initiative Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak   +5 more
wiley   +1 more source

Writer verification using feature selection based on genetic algorithm: A case study on handwritten Bangla dataset

open access: yesETRI Journal
Author verification is challenging because of the diversity in writing styles. We propose an enhanced handwriting verification method that combines handcrafted and automatically extracted features.
Jaya Paul   +4 more
doaj   +1 more source

Brain inspired neuronal silencing mechanism to enable reliable sequence identification

open access: yesScientific Reports, 2022
Real-time sequence identification is a core use-case of artificial neural networks (ANNs), ranging from recognizing temporal events to identifying verification codes.
Shiri Hodassman   +7 more
doaj   +1 more source

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