Results 51 to 60 of about 609,261 (188)
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding +5 more
wiley +1 more source
Offline Handwritten Signature Database based on Gender Annotation
It has been found that the publicly available standard image datasets of handwritten signatures do not have gender annotation. With this motivation, own dataset is created. The nature of this own offline handwritten signature database is described below.
RCUB, S (via Mendeley Data)
core +1 more source
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci +6 more
wiley +1 more source
ABSTRACT The rise of independent oversight of the accounting profession has attracted considerable research attention. Much of this research has studied how professional accounting bodies and the Big 4 firms have shaped the mandate and capabilities of independent oversight bodies.
Brendan O'Dwyer +2 more
wiley +1 more source
DEEP LEARNING FOR OFFLINE SIGNATURE VERIFICATION: A NOVEL MULTI-CHANNEL FEATURE FUSION NETWORK
This paper addresses the critical challenge of offline signature verification, a task crucial for authenticating documents and identities. Existing deep learning approaches, primarily deep metric learning with Siamese networks and two-channel ...
Anuradha Kasangottuwar, Harshal Hemane
doaj +1 more source
Fixed-sized representation learning from offline handwritten signatures of different sizes [PDF]
Methods for learning feature representations for Offline Handwritten Signature Verification have been successfully proposed in recent literature, using Deep Convolutional Neural Networks to learn representations from signature pixels. Such methods reported large performance improvements compared to handcrafted feature extractors.
Luiz G. Hafemann +2 more
openaire +2 more sources
Programmable van der Waals Heterojunction for Multifunctional Integration
A MoS2/MAPbBr3 van der Waals heterostructure is programmed by gate bias to switch among photodetector, synaptic transistor, and gate‐bias‐assisted optical‐memory modes. Gate‐controlled carrier trapping tunes the response timescale, enabling mode reconfiguration in a single device.
An Gui +9 more
wiley +1 more source
Enhancing Signature Verification Using Triplet Siamese Similarity Networks in Digital Documents
In contexts requiring user authentication, such as financial, legal, and administrative systems, signature verification emerges as a pivotal biometric method.
Sara Tehsin +5 more
doaj +1 more source
Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung +16 more
wiley +1 more source
EMERGING ISSUES FOR STATIC HANDWRITTEN SIGNATURE BIOMETRICS
This paper presents a review of the most recent advances in static/offline signature recognition using Computer Vision and also identifies some new trends and research opportunities such as the generation of synthetic signatures, time drifting, forger ...
Ferrer, Miguel A. +5 more
core +1 more source

