Results 61 to 70 of about 956,220 (295)
Advanced Science, EarlyView.We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
IEEE AccessReliable signature authentication is essential across fields where identity verification is critical. Despite advances in machine learning, validating handwritten signatures remains challenging due to inherent variability in individual writing styles ...
Giovanni Piccinini +2 more
doaj +1 more source
An evaluation on offline signature verification using artificial neural network approach
, 2013 The signature verification is the oldest security technique to verify the identification of persons. Recently, the signature recognition schemes are growing in the world of security technology.
Khalifa, Othman Omran +5 more
core +1 more source
Offline Signature Verification Using Machine Vision [PDF]
, 2014 Signature forgery still represents a great challenge to financial institutions, which makes accurate signature verification inevitable. On the other hand, computer technology and information processing areas witness remarkable qualitative improvements ...
El-Faki, Mohammed S., Alamoudi, Omar O.
core +1 more source
Advanced Science, EarlyView.Chronic stress disrupts copper homeostasis and promotes copper accumulation in the prelimbic cortex, leading to astrocytic FDX1 upregulation. Elevated astrocytic FDX1 impairs calcium signaling, induces structural atrophy, and disrupts synaptic function, contributing to depressive‐like behaviors. Physical exercise reverses these alterations by restoring
Lina Gao +11 more
wiley +1 more source
ATTENTION-GUIDED JOINT CNN–NEURO-FUZZY LEARNING FOR EXPLAINABLE MULTILINGUAL SIGNATURE VERIFICATION [PDF]
ICTACT Journal on Soft ComputingThis paper introduces an attention-guided joint CNN–neuro-fuzzy learning framework for offline handwritten signature verification, in which convolutional feature learning and fuzzy membership optimization are performed simultaneously rather than through ...
Sunil Tanaji Salunkhe +1 more
doaj +1 more source
Offline signature verification using geodesic derivative pattern
In this paper, Geodesic Derivative Pattern (GDP) for Off-line handwritten signature verification is presented. We combine features based on both gray level and geometric information in the decision level.
Hajati, Farshid, Abdoli, Samaneh
core +1 more source
Advanced Science, EarlyView.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
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
OFFLINE SIGNATURE VERIFICATION BASED ON GLCM
International Journal of Electronics Signals and Systems, 2014 Several papers have recently appeared in the literature which propose pseudo-dynamic features for automatic static handwritten signature verification based on the use of gray level values from signature stroke pixels. Good results have been obtained using rotation invariant uniform local binary patternsLBP plus LBP and statistical measures from gray ...
P. NAGENDRA BABU +2 more
openaire +1 more source