Within The Lack Of Chest Covid 19 X Ray Dataset A Novel Detection Model Based On Gan And Deep Transfer Learning
Download Within The Lack Of Chest Covid 19 X Ray Dataset A Novel Detection Model Based On Gan And Deep Transfer Learning full books in PDF, epub, and Kindle. Read online free Within The Lack Of Chest Covid 19 X Ray Dataset A Novel Detection Model Based On Gan And Deep Transfer Learning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Within the Lack of Chest COVID 19 X ray Dataset A Novel Detection Model Based on GAN and Deep Transfer Learning
Author | : Mohamed Loey,Florentin Smarandache,Nour Eldeen M. Khalifa |
Publsiher | : Infinite Study |
Total Pages | : 19 |
Release | : 2024 |
Genre | : Mathematics |
ISBN | : 9182736450XXX |
Download Within the Lack of Chest COVID 19 X ray Dataset A Novel Detection Model Based on GAN and Deep Transfer Learning Book in PDF, Epub and Kindle
The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under unprecedented and increasing pressure according to theWorld Health Organization (WHO). With the advances in computer algorithms and especially Artificial Intelligence, the detection of this type of virus in the early stages will help in fast recovery and help in releasing the pressure off healthcare systems.
Computational Modeling and Data Analysis in COVID 19 Research
Author | : Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya |
Publsiher | : CRC Press |
Total Pages | : 270 |
Release | : 2021-05-10 |
Genre | : Technology & Engineering |
ISBN | : 9781000384970 |
Download Computational Modeling and Data Analysis in COVID 19 Research Book in PDF, Epub and Kindle
This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.
Omics Approaches and Technologies in COVID 19
Author | : Debmalya Barh,Vasco Ariston De Car Azevedo |
Publsiher | : Academic Press |
Total Pages | : 464 |
Release | : 2022-12-01 |
Genre | : Medical |
ISBN | : 9780323986212 |
Download Omics Approaches and Technologies in COVID 19 Book in PDF, Epub and Kindle
The COVID-19 pandemic has affected the entire world in an unprecedented way since 2019. However, novel and innovative applications of various omics, computational, and smart technologies have helped manage the pandemic of the 21st century in a very effective manner. Omics approaches and technologies in COVID-19 presents up-to-date knowledge on omics, genetic engineering, mathematical and computational approaches, and advanced technologies in the diagnosis, prevention, monitoring, and management of COVID-19. This book contains 26 chapters written by academic and industry experts from more than 15 countries. Split into three sections (Omics; Artificial Intelligence and Bioinformatics; and Smart and Emerging Technologies), it brings an overview of novel technologies under omics such as, genomic, metagenomic, pangenomic, metabolomics and proteomics in COVID-19. In addition, it discusses hostpathogen interactions and interactomics, management options, application of genetic engineering, mathematical modeling andsimulations, systems biology, and bioinformatics approaches in COVID-19 drug discovery and vaccine development. This is a valuable resource for students, biotechnologists, bioinformaticians, virologists, clinicians, and pharmaceutical, biomedical, and healthcare industry people who want to understand the promising omics and other technologies used in combating COVID-19 from various aspects. Provides novel technologies for rapid diagnostics, drug discovery, vaccine development, monitoring, prediction of future waves, etc. Describes various omics applications including genomics, metagenomics, epigenomics, nutrigenomics, transcriptomics,miRNAomics, proteomics, metabolomics, phenomics, multiomics, etc., in COVID-19 Presents applications of genetic engineering, CRISPR, artificial intelligence, mathematical and in silico modeling, systems biology,and other computational approaches in COVID-19 Discusses emerging, digital, and smart technologies for the monitoring and management of COVID-19
COVID 19 Integrating artificial intelligence data science mathematics medicine and public health epidemiology neuroscience and biomedical science in pandemic management
Author | : Reza Lashgari,Atefeh Abedini,Babak A. Ardekani,Arda Kiani,Seyed Alireza Nadji,Ali Yousefi |
Publsiher | : Frontiers Media SA |
Total Pages | : 1029 |
Release | : 2023-02-09 |
Genre | : Medical |
ISBN | : 9782889766017 |
Download COVID 19 Integrating artificial intelligence data science mathematics medicine and public health epidemiology neuroscience and biomedical science in pandemic management Book in PDF, Epub and Kindle
Proceedings of 7th International Conference on Harmony Search Soft Computing and Applications
Author | : Joong Hoon Kim,Kusum Deep,Zong Woo Geem,Ali Sadollah,Anupam Yadav |
Publsiher | : Springer Nature |
Total Pages | : 509 |
Release | : 2022-09-01 |
Genre | : Technology & Engineering |
ISBN | : 9789811929489 |
Download Proceedings of 7th International Conference on Harmony Search Soft Computing and Applications Book in PDF, Epub and Kindle
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Seventh International Conference on Harmony Search, Soft Computing and Applications held at Virtual Conference, Seoul, South Korea, in February 2022. Harmony search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.
Artificial Intelligence for COVID 19
Author | : Diego Oliva,Said Ali Hassan,Ali Mohamed |
Publsiher | : Springer Nature |
Total Pages | : 594 |
Release | : 2021-07-19 |
Genre | : Technology & Engineering |
ISBN | : 9783030697440 |
Download Artificial Intelligence for COVID 19 Book in PDF, Epub and Kindle
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Structural and Functional Aspects of Biocomputing Systems for Data Processing
Author | : Vignesh, U.,Parvathi, R.,Goncalves, Ricardo |
Publsiher | : IGI Global |
Total Pages | : 263 |
Release | : 2023-01-20 |
Genre | : Computers |
ISBN | : 9781668465257 |
Download Structural and Functional Aspects of Biocomputing Systems for Data Processing Book in PDF, Epub and Kindle
Due to the diversity of contexts in which biological computation is performed, a major problem is the selection of functional-oriented techniques for the analysis of biological sequences in a huge environment. The performances of various sequences in biocomputational algorithms are evaluated with variant features to prove their efficiency in real-time environments. Structural and Functional Aspects of Biocomputing Systems for Data Processing provides insight into the structural and functional aspects of biological sequences and the pattern recognition they embed into the data processingcepts, methodologies, and empirical research advances of various biological data mining systems through machine learning approaches. Covering topics such as DNA sequencing, high-speed architecture, and medical image processing, this premier reference source is an essential resource for healthcare professionals, biological systems in biocomputing systems. It extends recent con specialists, industrial professionals, PCR testing professionals, scientists, bioinformaticians, students and educators of higher education, librarians, researchers, and academicians.
Emerging Research in Computing Information Communication and Applications
Author | : N. R. Shetty,L. M. Patnaik,H. C. Nagaraj,Prasad N. Hamsavath,N. Nalini |
Publsiher | : Springer Nature |
Total Pages | : 1015 |
Release | : 2021-11-30 |
Genre | : Technology & Engineering |
ISBN | : 9789811613425 |
Download Emerging Research in Computing Information Communication and Applications Book in PDF, Epub and Kindle
This book presents the proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators and technologists to discuss, debate and promote research and technology in the upcoming areas of computing, information, communication and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.