Computational modelling and imaging for SARS-CoV-2 and COVID-19 / edited by S. Prabha, P. Karthikeyan, K. Kamalanand, N. Selvaganesan.
Material type: TextPublication details: Boca Raton : CRC Press, (c)2022.Edition: First editionDescription: pages cmContent type:- text
- unmediated
- volume
- 9780367695293
- 0367695294
- 9780367696245
- 036769624X
- RA644.P733.C667 2022
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Nursing-Reference (LIBRARY USE ONLY) | G. Allen Fleece Library Reference (1st floor - front of library) | RA644.P733.C667 2022 (Browse shelf(Opens below)) | Available | 31923001768056 |
Artificial Intelligence Based CoVID-19 Detection using Medical Imaging Methods : A Review / M Murugappan, Ali K Bourisly, Palani Thanaraj Krishnan, Vasanthan Maruthapillai, and Hariharan Muthusamy -- Review on imaging features for COVID-19 / Chitradevi D and Prabha S -- Investigation of COVID-19 Chest X-ray images using texture features : A comprehensive approach / J. Thamil Selvi, K. Subhashini and M. Methini -- Efficient Diagnosis using Chest CT in COVID-19 : A Review / J. Sivakamasundari and K.Venkatesh -- Automatic Mask Detection and Social Distance Alerting Based on a Deep Learning Computer Vision Algorithm / N. Vinoth, A. Ganesh Ram, M. Vijayakarthick and S. Meyyappan -- Review of effective Mathematical Modelling of Coronavirus Epidemic and effect of Drone Disinfection / Agnishwar Jayaprakash, Nithya .R, Kayalvizhi. M -- ANFIS Algorithm based Modeling and Forecasting of the COVID-19 epidemic : A case study in Tamil Nadu, India / M. Vijayakarthick, E. Sivaraman, S. Meyyappan and N. Vinoth -- Prediction and Analysis of SARS-CoV-2 (COVID-19) epidemic in India using LSTM Network / A. Ganesh Ram, S. Prabha, M. Vijayakarthick.
"This book presents new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2"--
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