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Purpose: Information extraction from big data is improved by either reducing the number of features in a data set or selecting features using intelligent data analysis. Generally, big data sets are complex to process using traditional approaches. Fea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea04450d6e12dbb286b92d02bce359f8
https://doi.org/10.36348/sjet.2023.v08i03.002

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Deep Learning Approaches to Detect Distracted Driving Activities: A Survey

Autor: K Sudheevar Reddy, Kiran N Deshmukh, Lokesh M, Prathik Raj RC, Dr. Kavitha K S

Publikováno v: International Journal for Research in Applied Science and Engineering Technology. 11:1074-1082

With increase in the use of advanced systems on vehicle dashboards such as modern infotainment systems and mobile phones, we have come to observe a proportional increase in the distraction of drivers. Distracted driving has proven to be a vital cause

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b029f31c09e79220cb3472d63dbf8667
https://doi.org/10.22214/ijraset.2023.49187

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Review on Iris Recognition Research Directions- A Brief Study

Autor: Dr. Lokesh M R

Publikováno v: International Journal for Research in Applied Science and Engineering Technology. 10:3774-3782

Biometric methods, which identify people based on physical or behavioral characteristics, are of interest because people cannot forget or lose their physical characteristics in the way that they can lose passwords or identity cards. Among these biome

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1bb03ade9a0145f305ca1f54f3e82394
https://doi.org/10.22214/ijraset.2022.45856

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