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A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
Automation and orchestration of zero trust architecture: Potential solutions and challenges
Zero trust architecture (ZTA) is a paradigm shift in how we protect data, stay connected and
access resources. ZTA is non-perimeter-based defence, which has been emerging as a …
access resources. ZTA is non-perimeter-based defence, which has been emerging as a …
Offline signature verification using deep neural network with application to computer vision
Biometric technologies, such as handwritten signature verification, are extremely useful for
identifying individuals inside an organization or finance department. The improvement of …
identifying individuals inside an organization or finance department. The improvement of …
[HTML][HTML] Siamese convolutional neural network-based twin structure model for independent offline signature verification
One of the toughest biometrics and document forensics problems is confirming a signature's
authenticity and legal identity. A forgery may vary from a genuine signature by specific …
authenticity and legal identity. A forgery may vary from a genuine signature by specific …
Voting by mail and ballot rejection: Lessons from Florida for elections in the age of the coronavirus
The COVID-19 pandemic and its concomitant need for social distancing have increased the
attractiveness of voting by mail. This form of voting is nonetheless not a panacea for election …
attractiveness of voting by mail. This form of voting is nonetheless not a panacea for election …
A hybrid method of feature extraction for signatures verification using CNN and HOG a multi-classification approach
The offline signature verification system's feature extraction stage is regarded as crucial and
has a significant impact on how well these systems perform because the quantity and …
has a significant impact on how well these systems perform because the quantity and …
Review on chest pathogies detection systems using deep learning techniques
Chest radiography is the standard and most affordable way to diagnose, analyze, and
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
Secure deep multimodal biometric authentication using online signature and face features fusion
In Indian banking systems, signatures and faces are the two traits of biometrics that are used
for personal identification. The automation of this identification system requires the use of a …
for personal identification. The automation of this identification system requires the use of a …
A novel biometric system for signature verification based on score level fusion approach
The active modality of handwriting is broadly related to signature verification in the context of
biometric user authentication systems. Signature verification aims to verify a questioned …
biometric user authentication systems. Signature verification aims to verify a questioned …
In-air signature verification system using leap motion
E Guerra-Segura, A Ortega-Pérez… - Expert Systems with …, 2021 - Elsevier
Signature verification is a widely explored field due to its high acceptance and its
compromise between security and comfort. Recently, different techniques have appeared to …
compromise between security and comfort. Recently, different techniques have appeared to …