Prevalence and early prediction of diabetes using machine learning in North Kashmir: a case study of district bandipora

SS Bhat, V Selvam, GA Ansari… - Computational …, 2022 - Wiley Online Library
Diabetes is one of the biggest health problems that affect millions of people across the
world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage …

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 …

Deep hashing with multilayer CNN-based biometric authentication for identifying individuals in transportation security

SR Borra, B Premalatha, G Divya… - Journal of …, 2024 - Springer
One of the biggest challenges in transportation security systems is ensuring reliable and
effective identification of people. However, improved security in transportation systems was …

[PDF][PDF] Handwritten Signatures Forgery Detection Using Pre-Trained Deep Learning Methods

N Ebrahimpour - International Congress of New Horizons in …, 2023 - researchgate.net
Handwritten signature recognition (HSR) is crucial in various applications, such as
document verification, authentication, financial transactions, banking transactions, and legal …

Evaluating Customer and Employee Satisfaction at Luna Park: A Sentiment Analysis of Online Reviews and Internal Feedback

M Allaberganova - Financial Technology and Innovation, 2024 - americaspg.com
This study aims to evaluate customer and employee satisfaction at Luna Park through
sentiment analysis of online reviews and internal feedback. Utilizing advanced sentiment …

A Binarized Multi-Resolution Feature-Based Offline Signature

S Bendjoudi, H Doghmane, Z Mentouri… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
When a higher level of exactness is needed, handwritten signature recognition is mainly
employed to certify administrative and official papers. Despite extensive previous research …

A Robust and Secure Image to Multi-Images Steganography

P Singh, S Pandey, P Kumari… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
With the enhancement in technology sharing of information in different forms like text,
images or videos is being adopted worldwide. But this sharing of information also led to …

Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning

M Saraswat, A Agarwal - … Conference on Applied Machine Learning and …, 2022 - Springer
This research focuses on predicting the gender and handedness and also combined
prediction through Handwriting Recognition. In this paper we have analyzed various Deep …

Retracted: Deformation Adjustment with Single Real Signature Image for Biometric Verification Using CNN

C Intelligence - Computational Intelligence and Neuroscience, 2023 - ncbi.nlm.nih.gov
Retracted: Deformation Adjustment with Single Real Signature Image for Biometric Verification
Using CNN - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …

[PDF][PDF] A HYBRID METHOD OF FEATURE EXTRACTION FOR SIGNATURES VERIFICATION USING CNN AND HOG A MULTI-CLASSIFICATION APPROACH

SVU CNN, A HOG - ijarst.in
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 …