Face Recognition through Machine Learning of Periocular region

Chandana, Ch Sai; Rao, K. Damodhar; Sahoo, Prasanta Kumar

doi:10.17577/ijertv9is030387

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…Tablet hardness affects the resistance offered by them during handling, transportation, or storage before use. Tablets' hardness was determined by employing a Monsanto hardness tester [36]. The top plunger was pushed against a spring by spinning the threaded bolt while the lower plunger was kept in contact with the tablet, and the reading recorded was zero.…”

Section: Hardnessmentioning

confidence: 99%

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Formulation, Development, and Evaluation of Bosentan Monohydrate Spray Dried- Solid Dispersion Tablets for Improved Dissolution Profile

Raut,

Hajare,

Chougale

et al. 2023

Jordan j. pharm. sci.

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Bosentan monohydrate (BM) is utilized for the treatment of pulmonary arterial hypertension, exhibiting poor aqueous solubility and bioavailability. This study aims to enhance the dissolution rate of the drug using Eudragit®EPO through spray drying. The drug and Eudragit®EPO were combined in ratios of 1:1, 1:2, 1:3, 1:4, and 1:5 (w/w) to generate compositions SD1 to SD5. SD5, at a 1:5 drug-to-carrier ratio, demonstrated a statistically significant increase in saturation solubility and drug content. Six tablet formulations (F1 to F6) containing SD5 and tableting excipients were developed and processed. Formulation F2, consisting of 26.36% HPMC K4M and 23.63% MCC, exhibited the highest dissolution and drug release. The probable mechanism underlying BM dissolution in SD involves its amorphous form and the solubilizing effect facilitated by hydrogen bonding between BM and Eudragit®EPO. The carrier's binding effect likely contributed to high tensile strength, low friability, and extended disintegration time. Direct mixing of SD with HPMC might have improved the uniformity of SD within the tablet matrix and the release profile. This study demonstrates the efficacy of spray drying in preparing SD of BM with Eudragit®EPO, potentially enhancing its solubility and stability.

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Section: Hardnessmentioning

confidence: 99%

“…This solution was then diluted to obtain a solution of strength 10 μg/mL. This diluted solution was filtered, and absorbance was recorded at 273 nm on a UV-visible spectrophotometer [36].…”

Section: Drug Contentmentioning

confidence: 99%

Formulation, Development, and Evaluation of Bosentan Monohydrate Spray Dried- Solid Dispersion Tablets for Improved Dissolution Profile

Raut,

Hajare,

Chougale

et al. 2023

Jordan j. pharm. sci.

View full text Add to dashboard Cite

show abstract

“…Machine learning is a subarea of artificial intelligence based on the idea that systems can learn from data and make decisions automatically. Bayes Theorem is widely used in machine learning [12], including its use in a probability framework for fitting a model to a training dataset, referred to as maximum a posteriori (MAP). We can use probability to make predictions and also in step of developing models for classification predictive modeling problems such as the Bayes Optimal Classifier and Naive Bayes.…”

Section: Introductionmentioning

confidence: 99%

Golden Ratio and Its Application to Bayes Classifier Based Face Sketch Gender Classification and Recognition

Ounachad¹

2020

IJETER

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Machine learning is a subarea of artificial intelligence based on the idea that systems can learn from data and make decisions automatically. Bayes Theorem is widely used in machine learning. The main objective of this paper is to classify the gender of the human being based on their face sketch images by using a golden ratio features and Bayes Classifier. This paper presents a method for human face sketch gender classification and recognition. It is inspired in our other model which was pre-trained on the same task, but with sixteen features and fuzzy approach. Toward this end, just two features will be extract from the input face sketch image based on two face golden ratios. The detection stage passes by Viola and Jones algorithm. The classification task is evaluated through Bayes classifier. An experimental evaluation demonstrates the satisfactory performance of our approach on CUFS database with 80% for training, 20% for testing. The proposed machine learning algorithm will be a competitor of the proposed relative the stat of the art approaches.

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Face Authentication from Masked Face Images Using Deep Learning on Periocular Biometrics

Dejournett

Nannuri

et al. 2022

Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence

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Face Recognition through Machine Learning of Periocular region

Cited by 4 publications

References 2 publications

Formulation, Development, and Evaluation of Bosentan Monohydrate Spray Dried- Solid Dispersion Tablets for Improved Dissolution Profile

Formulation, Development, and Evaluation of Bosentan Monohydrate Spray Dried- Solid Dispersion Tablets for Improved Dissolution Profile

Golden Ratio and Its Application to Bayes Classifier Based Face Sketch Gender Classification and Recognition

Face Authentication from Masked Face Images Using Deep Learning on Periocular Biometrics

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