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Multivariate Statistical Machine Learning Methods For Genomic Prediction


Multivariate Statistical Machine Learning Methods For Genomic Prediction
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Multivariate Statistical Machine Learning Methods For Genomic Prediction


Multivariate Statistical Machine Learning Methods For Genomic Prediction
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Author : Osval Antonio Montesinos López
language : en
Publisher: Springer Nature
Release Date : 2022-02-14

Multivariate Statistical Machine Learning Methods For Genomic Prediction written by Osval Antonio Montesinos López and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.


This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.



Artificial Intelligence And Society 5 0


Artificial Intelligence And Society 5 0
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Author : Vikas Khullar
language : en
Publisher: CRC Press
Release Date : 2024-01-22

Artificial Intelligence And Society 5 0 written by Vikas Khullar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-22 with Computers categories.


The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 – a social order supported by innovation in data, information, and knowledge. It showcases current case studies of Society 5.0 in diverse areas such as healthcare, smart cities, and infrastructure. Key Features: Elaborates on the use of big data, cyber-physical systems, robotics, augmented-virtual reality, and cybersecurity as pillars for Society 5.0. Showcases the use of artificial intelligence, architecture, frameworks, and distributed and federated learning structures in Society 5.0. Discusses speech recognition, image classification, robotic process automation, natural language generation, and decision support automation. Elucidates the application of machine learning, deep learning, fuzzy-based systems, and natural language processing. Includes case studies on the application of Society 5.0 aspects in educational, medical, infrastructure, and smart cities. The book is intendended especially for graduate and postgraduate students, and academic researchers in the fields of computer science and engineering, electrical engineering, and information technology.



Insights In Functional And Applied Plant Genomics 2023


Insights In Functional And Applied Plant Genomics 2023
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Author : Huihui Li
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-21

Insights In Functional And Applied Plant Genomics 2023 written by Huihui Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Science categories.


We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of plant science. Frontiers has organized a series of Research Topics to highlight the latest advancements in research across the field of plant science, with articles from the Associate Members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Dr. Huihui Li, Specialty Chief Editor of the Functional and Applied Plant Genomics section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Functional and Applied Plant Genomics. The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining, recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges. The goal of this special edition Research Topic is to shed light on the progress made in the past decade in the field of Functional and Applied Plant Genomics, and on its future challenges to provide a thorough overview of the field. This article collection will inspire, inform and provide direction and guidance to researchers in the field. We welcome original research, reviews, perspective, and thought-provoking opinion to this Research Topic.



Ethics Machine Learning And Python In Geospatial Analysis


Ethics Machine Learning And Python In Geospatial Analysis
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Author : Galety, Mohammad Gouse
language : en
Publisher: IGI Global
Release Date : 2024-04-29

Ethics Machine Learning And Python In Geospatial Analysis written by Galety, Mohammad Gouse and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Technology & Engineering categories.


In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.



Artificial Intelligence In Microbiology Scope And Challenges Volume Ii


Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-06

Artificial Intelligence In Microbiology Scope And Challenges Volume Ii written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Science categories.


Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more. - Uncovers extended functions of AI in microbiology - Includes topics surrounding the production and development of novel drug targets through AI - Presents the existing challenges for using and selecting appropriate AI tools in health, agriculture, and in the food sector



Current Advances In Genomics And Gene Editing Tools For Crop Improvement In A Changing Climate Scenario


Current Advances In Genomics And Gene Editing Tools For Crop Improvement In A Changing Climate Scenario
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Author : Vijay Rani Rajpal
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-10

Current Advances In Genomics And Gene Editing Tools For Crop Improvement In A Changing Climate Scenario written by Vijay Rani Rajpal and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-10 with Science categories.




Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24


Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24
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Author : S. Kannadhasan
language : en
Publisher: Springer Nature
Release Date : 2025-06-24

Proceedings Of The International Conference On Sustainability Innovation In Computing And Engineering Icsice 24 written by S. Kannadhasan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.


This is an open access book. The International Conference on Sustainability Innovation in Computing and Engineering is a distinguished event that brings together leading experts, researchers, practitioners, and innovators to explore the transformative role of computing and engineering in advancing sustainable solutions. In today’s world, where environmental challenges are intensifying, the need for technological innovation in addressing sustainability issues has never been more urgent. This conference serves as a dynamic platform for sharing groundbreaking research, showcasing innovative technologies, and fostering cross-disciplinary collaborations to accelerate sustainable development. With a focus on integrating sustainability into the core of computing and engineering practices, this conference will delve into a wide array of topics such as sustainable computing technologies, energy-efficient systems, green engineering practices, and the role of data science in promoting sustainability. It will also highlight the latest advancements in areas like artificial intelligence, smart systems, and digital solutions that contribute to environmental stewardship and social equity. The conference aims to bridge the gap between theoretical research and practical application, empowering participants to develop actionable strategies and innovative solutions that can be deployed in real-world scenarios. By facilitating robust discussions and knowledge exchange, the conference seeks to inspire new ideas, foster collaboration, and catalyze the development of technologies that not only enhance efficiency and performance but also contribute to a more sustainable future. It is an honor to host a gathering of visionary leaders in computing and engineering, whose expertise and insights will guide the global movement toward a greener, more sustainable world.



Chemoinformatics And Advanced Machine Learning Perspectives Complex Computational Methods And Collaborative Techniques


Chemoinformatics And Advanced Machine Learning Perspectives Complex Computational Methods And Collaborative Techniques
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Author : Lodhi, Huma
language : en
Publisher: IGI Global
Release Date : 2010-07-31

Chemoinformatics And Advanced Machine Learning Perspectives Complex Computational Methods And Collaborative Techniques written by Lodhi, Huma and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-31 with Computers categories.


"This book is a timely compendium of key elements that are crucial for the study of machine learning in chemoinformatics, giving an overview of current research in machine learning and their applications to chemoinformatics tasks"--Provided by publisher.



Detection Diagnosis And Management Of Air Borne Diseases In Agricultural Crops


Detection Diagnosis And Management Of Air Borne Diseases In Agricultural Crops
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Author : Udai B. Singh
language : en
Publisher: Springer Nature
Release Date :

Detection Diagnosis And Management Of Air Borne Diseases In Agricultural Crops written by Udai B. Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Raman Spectroscopy In The Food Industry


Raman Spectroscopy In The Food Industry
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Author : Ugur Tamer
language : en
Publisher: CRC Press
Release Date : 2024-10-29

Raman Spectroscopy In The Food Industry written by Ugur Tamer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Technology & Engineering categories.


Raman spectroscopy has become one of the most important techniques effectively applied to detect specific analytes and microorganisms in food samples. Raman Spectroscopy in the Food Industry provides a comprehensive overview of the current state of the art and future prospects of Raman spectroscopy in food analyses. Through in-depth chapters, the authors discuss the fundamental principles of Raman spectroscopy, its instrumentation, methodologies, and its diverse applications across various food matrices. Real-world case studies and practical examples underscore the transformative potential of Raman spectroscopy in reshaping our understanding, analysis, and innovation within the realm of food science. Featured topics included are as follows: Raman spectroscopy applications in food science and technology The unique property of Raman phenomena, along with the variations in signal modes The different food safety topics, such as toxins, biosafety, foodborne bacteria, and fermentation Machine-learning studies on Raman spectrosopy in food science As the editors, we are committed to providing a valuable resource that inspires further exploration and collaboration in harnessing the power of Raman spectroscopy for the advancement of food analyses. We sincerely hope that this book serves as a catalyst for pushing the boundaries of knowledge and driving innovation in this exciting field.