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Akademický článek

Automatic segmentation and quantified analysis of meibomian glands from infrared images

Autor: Krishna Poojita Vunnava, Rohit Shetty, Sahana M Prabhu, Piyush Tiwari, Mathew Kurian Kummelil

Publikováno v: Indian Journal of Ophthalmology, Vol 71, Iss 4, Pp 1426-1431 (2023)

Purpose: An algorithm for automated segmentation of meibomian glands from infrared images obtained using a novel prototype infrared hand-held imager has been proposed in this study. Meibomian gland dysfunction (MGD) is quantified in terms of five cli

Externí odkaz: https://doaj.org/article/eef39e7a844f4f5bbefde8927096b9ac

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Akademický článek

Three-stage multi-objective feature selection with distributed ensemble machine and deep learning for processing of complex and large datasets

Autor: Vunnava Dinesh Babu, K. Malathi

Publikováno v: Measurement: Sensors, Vol 28, Iss , Pp 100820- (2023)

The need for analytical solutions using machine learning (ML) and deep learning (DL) has risen in this era of industry-wide informed decision-making. Data is now readily available and moving at fast speeds due to the maturation of data processing tec

Externí odkaz: https://doaj.org/article/99db680de21043a0aa284b5ec0d10be9

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Akademický článek

Energy‐efficient reporting scheme for cognitive radio networks

Autor: Sudhamani Chilakala, Ashutosh Saxena, Aswini Vunnava

Publikováno v: IET Networks, Vol 10, Iss 3, Pp 110-117 (2021)

Abstract Cooperative spectrum sensing in cognitive radio network consumes a large amount of energy during spectrum sensing and reporting. An energy‐efficient reporting scheme called the reduced energy consumption scheme for reporting has been propo

Externí odkaz: https://doaj.org/article/cf97bcad51524934a67cf060a94c1d5d

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