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Titlebook: Advancements in Interdisciplinary Research; First International Vijayan Sugumaran,Divya Upadhyay,Shanu Sharma Conference proceedings 2022

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41#
發(fā)表于 2025-3-28 17:21:43 | 只看該作者
https://doi.org/10.1007/978-3-031-35731-2participants. MANETs are used in various potential applications like communication, search and rescue operations in battlefield, in home and industrial networks, in entertainment, and in sensor networks. Numerous routing protocols of different types are advised for use with mobile ad-hoc networks to
42#
發(fā)表于 2025-3-28 19:50:34 | 只看該作者
https://doi.org/10.1007/978-3-031-35731-2ansmissible than the previous ones. People infected with this virus must be diagnosed at the earliest to provide the needed clinical attention. Radiological images of the chest are crucial in diagnosing the severity of BA.2 infection RT-PCR (Reverse Transcription-Polymerase Chain Reaction) is one of
43#
發(fā)表于 2025-3-28 23:29:35 | 只看該作者
44#
發(fā)表于 2025-3-29 07:02:25 | 只看該作者
Christopher N. Allan,David Greenrent countries for the protection of their citizens. So it is very important and useful if one is able to perform effective analysis of the same to make the awareness and the effectiveness of each vaccine known to mankind. It is found that COVID-19 vaccines increase the immune system, prepare the bo
45#
發(fā)表于 2025-3-29 07:42:45 | 只看該作者
46#
發(fā)表于 2025-3-29 15:14:20 | 只看該作者
Seng Chee Tan,Helen Bound,Xinghua Wangethod of detecting thoracic and pneumothorax disorders. Due to recent improvements in computer technology, computer vision, and publically available large-scale datasets, machine learning-based techniques to automated pneumothorax diagnosis in chest radiography have risen in favour among academics.
47#
發(fā)表于 2025-3-29 17:38:05 | 只看該作者
Winfried Krieger,Stephan Hofmannt recommendations for diseases. Drug and treatment recommendation is one of the most popular applications, which is now observed and used by everyone in this digital era. These types of recommendation systems usually require a huge set of data from the patients and an efficient Machine learning-base
48#
發(fā)表于 2025-3-29 20:01:34 | 只看該作者
49#
發(fā)表于 2025-3-30 02:16:10 | 只看該作者
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發(fā)表于 2025-3-30 04:34:08 | 只看該作者
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