Forum Rockoldies
Khalid Raza - Computational Intelligence Methods in COVID-19 - Druckversion

+- Forum Rockoldies (https://rockoldies.net/forum)
+-- Forum: E BOOKS - AUDIOBOOKS (https://rockoldies.net/forum/forumdisplay.php?fid=9)
+--- Forum: novels, non-fiction and newspapers english (https://rockoldies.net/forum/forumdisplay.php?fid=11)
+---- Forum: Literature (https://rockoldies.net/forum/forumdisplay.php?fid=31)
+---- Thema: Khalid Raza - Computational Intelligence Methods in COVID-19 (/showthread.php?tid=35060)



Khalid Raza - Computational Intelligence Methods in COVID-19 - Panter - 07.09.2021

[Bild: 007d12ef4fk5g.jpg]

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by Khalid Raza
English | PDF | 2021 | 437 Pages | ISBN : 9811585334 | 13.32 MB

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.
The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.


Download from Rapidgator: