Výsledky vyhledávání - "Rajya Lakshmi"

Akademický článek

Evaluation of Comfort Levels of Patient and Ergonomics of the Dental Surgeon during Manual Scaling under Both Proprioceptive Derivative Concept and Conventional Approach: A Cross-sectional Study

Autor: Gautami S Penmetsa, Lahari Karuturi, Mohan Kumar Pasupuleti, Srividya Inti, Meghana Gangolu, Rajya Lakshmi Mikkili

Publikováno v: Journal of Clinical and Diagnostic Research, Vol 17, Iss 12, Pp 49-54 (2023)

Introduction: The important components that contribute to successful dental care are maximum accessibility, visibility, comfort, and control over clinical processes. Dental practitioners are more prone to developing musculoskeletal disorders due t

Externí odkaz: https://doaj.org/article/3ffd28d8a6a5489c9d55734b58fc2e10

Zobrazit plný text záznamu

Akademický článek

Image reconstruction techniques using deep learning quality segmentation

Autor: Rajya Lakshmi Adidela, Suresh Sara, Mutalik Desai Prashanth, Aerranagula Veerender, Mounika N., Kaur Namita

Publikováno v: MATEC Web of Conferences, Vol 392, p 01114 (2024)

Translational CT (TCT), in developing nations, a low-end computed tomography (CT) technology are relatively common. The limited-angle TCT scanning mode is often used with large-angle scanning to scan items within a narrow angular range, reduce X-ray

Externí odkaz: https://doaj.org/article/79ed3aaa1bbe415eb17c61ddd64b35cb

Zobrazit plný text záznamu

Akademický článek

Spatial residual clustering and entropy based ranking for hyperspectral band selection

Autor: Kishore Raju K., Saradhi Varma G. P., Rajya Lakshmi D.

Publikováno v: European Journal of Remote Sensing, Vol 53, Iss S1, Pp 82-92 (2020)

Though the Hyper-spectral images (HSI) are associated with rich spectral information for discriminating the class-specific objects, the high dimensional data generates Hughes effect for additional processing. So, during pre-processing, band Selection

Externí odkaz: https://doaj.org/article/480e11c1562f49f19f374ba66935df2e

Zobrazit plný text záznamu

Akademický článek

Identification of potential biomarkers for lung adenocarcinoma

Autor: Deepak Sayeeram, Teesta V. Katte, Saloni Bhatia, Anushree Jai Kumar, Avinesh Kumar, G. Jayashree, D.S. Rachana, Harsha Vardhan Nalla Reddy, Avinash Arvind Rasalkar, Rajya Lakshmi Malempati, Divijendra Natha Reddy S

Publikováno v: Heliyon, Vol 6, Iss 11, Pp e05452- (2020)

Lung adenocarcinoma (LUAD) is the most predominant subtype of lung cancers and is one of the leading causes of cancer related mortality worldwide. Despite the advancements in the field of cancer diagnostics and therapeutics, detection at an early sta

Externí odkaz: https://doaj.org/article/30f266ab985f4a0aac2d00e303372b5f

Zobrazit plný text záznamu