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Application of chemometrics based on digital image analysis for simultaneous determination of tartrazine and sunset yellow in food samples
SF Hosseini, T Heidari, A Zendegi-Shiraz, M Ameri - Food Chemistry, 2025 - Elsevier
Azo dyes, such as tartrazine and sunset yellow, are widely used as affordable and stable
food colorants. Accurate quantification is crucial in foods for regulatory monitoring to ensure …
food colorants. Accurate quantification is crucial in foods for regulatory monitoring to ensure …
The Effect of Channel Size on Performance of 1D CNN Architecture for Automatic Detection of Self-Reported COVID-19 Symptoms on Twitter
Social media has a crucial role as the most generally accessed source of information by the
public for obtaining information on various topics, such as COVID-19 and natural disasters …
public for obtaining information on various topics, such as COVID-19 and natural disasters …
Clustering Urban Roads Using Local Binary Patterns to Enhance the Accuracy of Traffic Flow Prediction.
Many studies employ a dynamic statistical approach to model the relationship between
roads for predicting traffic flow. Statistical relationships among roads pertain to the …
roads for predicting traffic flow. Statistical relationships among roads pertain to the …
1D and 2D Feature Extraction Based on AAC and DC Protein Descriptors for Classification of Acetylation in Lysine Proteins using Convolutional Neural Network
Abstract Post-Translational Modification (PTM) denotes a biochemical alteration observed in
an amino acid, playing crucial roles in protein activity, functionality, and the regulation of …
an amino acid, playing crucial roles in protein activity, functionality, and the regulation of …
Bert-CK: A study of user profile classification based on Bert and CK-means+ fusion
Y Qian, J Shao, Z Zhang, H Leng… - Journal of Intelligent & …, 2023 - content.iospress.com
In traditional user portrait construction methods, static word vectors can extract only shallow
semantic representations, which cannot manage word polysemy. Moreover, the common …
semantic representations, which cannot manage word polysemy. Moreover, the common …
Enhance the accuracy of malicious uniform resource locator detection based on effective machine learning approach
H Alqahtani, A Abu-Khadrah - Bulletin of Electrical Engineering and …, 2024 - beei.org
Phishing attacks are increasing with the rise in web users. Addressing them requires
understanding the techniques and employing effective response strategies. Phishing …
understanding the techniques and employing effective response strategies. Phishing …
[PDF][PDF] Local Fourier features for handwriting digit images classification.
DTA Bernard, N Thierry… - … of Electrical & …, 2024 - pdfs.semanticscholar.org
Multiple choice questions (MCQ) are effective in normative assessment and offline testing is
still relevant due to the lack of efficient mass infrastructures and maintenance. For the …
still relevant due to the lack of efficient mass infrastructures and maintenance. For the …
An Effective Preprocessing Data on Performance of Machine Learning for ECG-Based Personal Authentication
A system for person identification has been simulated utilizing electrocardiogram (ECG)
signals as biometric identifiers. To automate ECG signal-based biometric recognition …
signals as biometric identifiers. To automate ECG signal-based biometric recognition …