A systematic review on machine learning models for online learning and examination systems

S Kaddoura, DE Popescu, JD Hemanth - PeerJ Computer Science, 2022 - peerj.com
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 …

Automation and orchestration of zero trust architecture: Potential solutions and challenges

Y Cao, SR Pokhrel, Y Zhu, R Doss, G Li - Machine Intelligence Research, 2024 - Springer
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 …

Offline signature verification using deep neural network with application to computer vision

N Sharma, S Gupta, P Mehta, X Cheng… - Journal of …, 2022 - spiedigitallibrary.org
Biometric technologies, such as handwritten signature verification, are extremely useful for
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

N Sharma, S Gupta, HG Mohamed, D Anand… - Sustainability, 2022 - mdpi.com
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 …

Voting by mail and ballot rejection: Lessons from Florida for elections in the age of the coronavirus

A Baringer, MC Herron, DA Smith - Election Law Journal: Rules …, 2020 - liebertpub.com
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 …

A hybrid method of feature extraction for signatures verification using CNN and HOG a multi-classification approach

FM Alsuhimat, FS Mohamad - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Review on chest pathogies detection systems using deep learning techniques

A Rehman, A Khan, G Fatima, S Naz… - Artificial Intelligence …, 2023 - Springer
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 …

Secure deep multimodal biometric authentication using online signature and face features fusion

M Singhal, K Shinghal - Multimedia Tools and Applications, 2024 - Springer
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 …

A novel biometric system for signature verification based on score level fusion approach

T Dhieb, H Boubaker, S Njah, M Ben Ayed… - Multimedia Tools and …, 2022 - Springer
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 …

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 …