Intelligent Modelling Prediction And Diagnosis From Epidemiological Data

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Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474704
Total Pages : 233 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-22 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000474739
Total Pages : 290 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data

Author : Siddhartha Bhattacharyya
Publisher : Chapman & Hall/CRC Computational Intelligence and Its Applications
ISBN 13 : 9780367746063
Total Pages : 216 pages
Book Rating : 4.7/5 (46 download)

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Book Synopsis Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by Chapman & Hall/CRC Computational Intelligence and Its Applications. This book was released on 2021 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis and early detection of diseases arising out of outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic economic-social structure. The book offers comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior. A detailed overview of CI techniques. Intelligent modeling, prediction and diagnostic measures for pandemics. Prognostic models. Post-pandemic socio-economic structure. The accompanying case studies are based on real-world data sets available till date. While other books may deal with this Covid-19 pandemic, none features the human immune systems as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to come to the benefit of medical professionals and healthcare workers along with the virologists who are essentially the frontline fighters of Covid-19 pandemic. In addition, it would also serve as an essential resource for relevant researchers in this interdisciplinary field apart from tutors, post-graduate and under-graduate students of information sciences.

IoT, Machine Learning and Data Analytics for Smart Healthcare

Author : Mourade Azrour
Publisher : CRC Press
ISBN 13 : 1003860664
Total Pages : 118 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis IoT, Machine Learning and Data Analytics for Smart Healthcare by : Mourade Azrour

Download or read book IoT, Machine Learning and Data Analytics for Smart Healthcare written by Mourade Azrour and published by CRC Press. This book was released on 2024-03-13 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students

Intelligent Cyber-Physical Systems Security for Industry 4.0

Author : Jyoti Sekhar Banerjee
Publisher : CRC Press
ISBN 13 : 1000815137
Total Pages : 284 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Intelligent Cyber-Physical Systems Security for Industry 4.0 by : Jyoti Sekhar Banerjee

Download or read book Intelligent Cyber-Physical Systems Security for Industry 4.0 written by Jyoti Sekhar Banerjee and published by CRC Press. This book was released on 2022-12-16 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science. Features • Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place • Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0 • Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security • Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0 This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

Hybrid Intelligent Systems for Information Retrieval

Author : Anuradha D Thakare
Publisher : CRC Press
ISBN 13 : 1000783324
Total Pages : 253 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Hybrid Intelligent Systems for Information Retrieval by : Anuradha D Thakare

Download or read book Hybrid Intelligent Systems for Information Retrieval written by Anuradha D Thakare and published by CRC Press. This book was released on 2022-11-22 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval. • Talks about the design, implementation, and performance issues of the hybrid intelligent information retrieval system in one book • Gives a clear insight into challenges and issues in designing a hybrid information retrieval system • Includes case studies on structured and unstructured data for hybrid intelligent information retrieval • Provides research directions for the design and development of intelligent search engines This book is aimed primarily at graduates and researchers in the information retrieval domain.

Computational Intelligence in Image and Video Processing

Author : Mukesh D Patil
Publisher : CRC Press
ISBN 13 : 1000832430
Total Pages : 361 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence in Image and Video Processing by : Mukesh D Patil

Download or read book Computational Intelligence in Image and Video Processing written by Mukesh D Patil and published by CRC Press. This book was released on 2023-02-15 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing. Features: A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processing Advanced evolutionary and nature-inspired approaches to solve optimization problems in the image and video processing domain Outcomes of recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniques Code snippets of the computational intelligence algorithm/techniques used in image and video processing This book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.

Blockchain for IoT

Author : Debarka Mukhopadhyay
Publisher : CRC Press
ISBN 13 : 1000737403
Total Pages : 236 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Blockchain for IoT by : Debarka Mukhopadhyay

Download or read book Blockchain for IoT written by Debarka Mukhopadhyay and published by CRC Press. This book was released on 2022-10-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain for IoT provides the basic concepts of Blockchain technology and its applications to varied domains catering to socio-technical fields. It also introduces intelligent Blockchain platforms by way of infusing elements of computational intelligence into Blockchain technology. With the help of an interdisciplinary approach, it includes insights into real-life IoT applications to enable the readers to assimilate the concepts with ease. This book provides a balanced approach between theoretical understanding and practical applications. Features: A self-contained approach to integrating the principles of Blockchain with elements of computational intelligence A rich and novel foundation of Blockchain technology with reference to the internet of things conjoined with the tenets of artificial intelligence in yielding intelligent Blockchain platforms Elucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subject Information presented in an accessible way for research students of computer science and information technology, as well as software professionals who can inherit the much-needed developmental ideas to boost up their computing knowledge on distributed platforms This book is aimed primarily at undergraduates, postgraduates, and researchers studying Blockchain.

Technological Advancement in E-waste Management

Author : Biswajit Debnath
Publisher : CRC Press
ISBN 13 : 1003804667
Total Pages : 125 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Technological Advancement in E-waste Management by : Biswajit Debnath

Download or read book Technological Advancement in E-waste Management written by Biswajit Debnath and published by CRC Press. This book was released on 2023-12-07 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this book is sustainable e-waste management through effective amalgamation of information and communication technologies (ICT) and green recycling technologies to ensure development of intelligent, smart, and sustainable systems. It encompasses multidisciplinary interventions, including recent case studies from OEMs and IT industries as well as e-waste recyclers, and explores interdisciplinary research and industry–academia collaborations towards the development of smart and sustainable systems for e-waste management. Features: Covers the application of smart and intelligent systems for e-waste management. Explores recent advancements from the technological aspect – both recycling and ICT. Reviews supply chain criticalities for e-waste. Aims at cleaner production and intelligent systems for a green digital economy. Includes real-life case studies reflecting industry standards and the current paradigm. This book is aimed at graduate students and researchers in environmental engineering, waste management, urban mining, circular economy, waste processing, electronics and telecommunication engineering, electrical and electronics engineering, and chemical engineering.

Disruptive Trends in Computer Aided Diagnosis

Author : Rik Das
Publisher : CRC Press
ISBN 13 : 1000414698
Total Pages : 219 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Disruptive Trends in Computer Aided Diagnosis by : Rik Das

Download or read book Disruptive Trends in Computer Aided Diagnosis written by Rik Das and published by CRC Press. This book was released on 2021-09-28 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data, sample annotation, region of interest identification, proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics, computer science and electronics and communication engineering. In addition, the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

Blockchain, IoT, and AI Technologies for Supply Chain Management

Author : Priyanka Chawla
Publisher : CRC Press
ISBN 13 : 1000854957
Total Pages : 295 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Blockchain, IoT, and AI Technologies for Supply Chain Management by : Priyanka Chawla

Download or read book Blockchain, IoT, and AI Technologies for Supply Chain Management written by Priyanka Chawla and published by CRC Press. This book was released on 2023-05-05 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains. Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.

Bayesian Artificial Intelligence

Author : Kevin B. Korb
Publisher : CRC Press
ISBN 13 : 1439815925
Total Pages : 481 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Artificial Intelligence by : Kevin B. Korb

Download or read book Bayesian Artificial Intelligence written by Kevin B. Korb and published by CRC Press. This book was released on 2010-12-16 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new section that addresses foundational problems with causal discovery and Markov blanket discovery and a new section that covers methods of evaluating causal discovery programs. The book also offers more coverage on the uses of causal interventions to understand and reason with causal Bayesian networks. Supplemental materials are available on the book's website.

Artificial Intelligence for COVID-19

Author : Diego Oliva
Publisher : Springer Nature
ISBN 13 : 3030697444
Total Pages : 594 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications

Download Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications PDF Online Free

Author : João Valente Cordeiro
Publisher : Frontiers Media SA
ISBN 13 : 2832537049
Total Pages : 291 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications by : João Valente Cordeiro

Download or read book Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications written by João Valente Cordeiro and published by Frontiers Media SA. This book was released on 2023-10-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Genetic Algorithm and Its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9819934281
Total Pages : 254 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Applied Genetic Algorithm and Its Variants by : Nilanjan Dey

Download or read book Applied Genetic Algorithm and Its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2023-07-01 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.

Predictive Models for Decision Support in the COVID-19 Crisis

Author : Joao Alexandre Lobo Marques
Publisher : Springer Nature
ISBN 13 : 3030619133
Total Pages : 103 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Predictive Models for Decision Support in the COVID-19 Crisis by : Joao Alexandre Lobo Marques

Download or read book Predictive Models for Decision Support in the COVID-19 Crisis written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2020-11-30 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.

COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management

Download COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management PDF Online Free

Author : Reza Lashgari
Publisher : Frontiers Media SA
ISBN 13 : 2889766012
Total Pages : 1029 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management by : Reza Lashgari

Download or read book COVID-19: Integrating artificial intelligence, data science, mathematics, medicine and public health, epidemiology, neuroscience, and biomedical science in pandemic management written by Reza Lashgari and published by Frontiers Media SA. This book was released on 2023-02-09 with total page 1029 pages. Available in PDF, EPUB and Kindle. Book excerpt: