Multivariate Statistical Machine Learning Methods For Genomic Prediction

Author : Osval Antonio Montesinos López,Abelardo Montesinos López,José Crossa
Publisher : Springer Nature
Page : 707 pages
File Size : 53,5 Mb
Release : 2022-02-14
Category : Technology & Engineering
ISBN : 9783030890100

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Multivariate Statistical Machine Learning Methods for Genomic Prediction by Osval Antonio Montesinos López,Abelardo Montesinos López,José Crossa Pdf

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.

Author : Vikas Khullar,Vrajesh Sharma,Mohit Angurala,Nipun Chhabra
Publisher : CRC Press
Page : 294 pages
File Size : 48,5 Mb
Release : 2024-01-22
Category : Computers
ISBN : 9781003825593

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Artificial Intelligence and Society 5.0 by Vikas Khullar,Vrajesh Sharma,Mohit Angurala,Nipun Chhabra Pdf

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.

Author : Chao Xu,Md Ashad Alam,Shaolong Cao
Publisher : Frontiers Media SA
Page : 136 pages
File Size : 54,6 Mb
Release : 2022-02-02
Category : Science
ISBN : 9782889714360

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Application of Novel Statistical and Machine-learning Methods to High-dimensional Clinical Cancer and (Multi-)Omics data by Chao Xu,Md Ashad Alam,Shaolong Cao Pdf

Author : Galety, Mohammad Gouse,Natarajan, Arul Kumar,Gedefa, Tesfaye Fufa,Lemma, Tsegaye Demsis
Publisher : IGI Global
Page : 359 pages
File Size : 48,8 Mb
Release : 2024-04-29
Category : Technology & Engineering
ISBN : 9798369363836

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Ethics, Machine Learning, and Python in Geospatial Analysis by Galety, Mohammad Gouse,Natarajan, Arul Kumar,Gedefa, Tesfaye Fufa,Lemma, Tsegaye Demsis Pdf

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.

Author : Vijay Rani Rajpal,Deepmala Sehgal,Ravi Valluru,Sukhwinder Singh
Publisher : Frontiers Media SA
Page : 312 pages
File Size : 53,6 Mb
Release : 2023-07-10
Category : Science
ISBN : 9782832528112

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Current advances in genomics and gene editing tools for crop improvement in a changing climate scenario by Vijay Rani Rajpal,Deepmala Sehgal,Ravi Valluru,Sukhwinder Singh Pdf

Author : Srivastava, Pramod Kumar,Yadav, Ashok Kumar
Publisher : IGI Global
Page : 315 pages
File Size : 45,5 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9798369310632

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Methodologies, Frameworks, and Applications of Machine Learning by Srivastava, Pramod Kumar,Yadav, Ashok Kumar Pdf

Technology is constantly evolving, and machine learning is positioned to become a pivotal tool with the power to transform industries and revolutionize everyday life. This book underscores the urgency of leveraging the latest machine learning methodologies and theoretical advancements, all while harnessing a wealth of realistic data and affordable computational resources. Machine learning is no longer confined to theoretical domains; it is now a vital component in healthcare, manufacturing, education, finance, law enforcement, and marketing, ushering in an era of data-driven decision-making. Academic scholars seeking to unlock the potential of machine learning in the context of Industry 5.0 and advanced IoT applications will find that the groundbreaking book, Methodologies, Frameworks, and Applications of Machine Learning, introduces an unmissable opportunity to delve into the forefront of modern research and application. This book offers a wealth of knowledge and practical insights across a wide array of topics, ranging from conceptual frameworks and methodological approaches to the application of probability theory, statistical techniques, and machine learning in domains as diverse as e-government, healthcare, cyber-physical systems, and sustainable development, this comprehensive guide equips you with the tools to navigate the complexities of Industry 5.0 and the Internet of Things (IoT).

Author : Anonim
Publisher : Elsevier
Page : 320 pages
File Size : 50,7 Mb
Release : 2024-02-01
Category : Technology & Engineering
ISBN : 9780443295256

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Advances in Agronomy by Anonim Pdf

Advances in Agronomy, Volume 184, the latest release in this leading reference on agronomy, contains a variety of updates and highlights new advances in the field. Each chapter is written by an international board of authors, with this new release including new chapters on The Role of Artificial Intelligence in Crop Improvement, Dealing with the Impact of Climate Change-Induced Drought on the Management of Soil, Challenges and Emerging Opportunities of Weed Management in Organic Agriculture, The Broadbalk Wheat Experiment, Rothamsted, UK: Crop Yields and Soil Changes During the Last 50 Years. Includes numerous, timely, state-of-the-art reviews on the latest advancements in agronomy Features distinguished, well recognized authors from around the world Builds upon this venerable and iconic review series Covers the extensive variety and breadth of subject matter in the crop and soil sciences

Author : Walid A. Zgallai,Dilber Uzun Ozsahin
Publisher : Elsevier
Page : 437 pages
File Size : 51,9 Mb
Release : 2024-01-18
Category : Science
ISBN : 9780323954631

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Artificial Intelligence and Image Processing in Medical Imaging by Walid A. Zgallai,Dilber Uzun Ozsahin Pdf

Artificial Intelligence and Image Processing in Medical Imaging deals with the applications of processing medical images with a view of improving the quality of the data in order to facilitate better decision- making. The book covers the basics of medical imaging and the fundamentals of image processing. It explains spatial and frequency domain applications of image processing, introduces image compression techniques and their applications, and covers image segmentation techniques and their applications. The book includes object detection and classification applications and provides an overall background to statistical analysis in biomedical systems. The role of Machine Learning, including Neural Networks, Deep Learning, and the implications of the expansion of artificial intelligence is also covered. With contributions from prominent researchers worldwide, this book provides up-to-date and comprehensive coverage of AI applications in image processing where readers will find the latest information with clear examples and illustrations. Provides the latest comprehensive coverage of the developments of AI techniques and the principles of medical imaging Covers all aspects of medical imaging, from acquisition, the use of hardware and software, image analysis and implementation of AI in problem solving Provides examples of medical imaging and how they’re processed, including segmentation, classification, and detection

Author : Mahendra Rai,Shagufta Khan,Aarti Belgamwar
Publisher : Elsevier
Page : 470 pages
File Size : 54,9 Mb
Release : 2023-07-26
Category : Science
ISBN : 9780323983488

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Nanotechnology Principles in Drug Targeting and Diagnosis by Mahendra Rai,Shagufta Khan,Aarti Belgamwar Pdf

Nanotechnology Principles in Drug Targeting and Diagnosis focuses on the nanotechnology principles and mechanisms involved in drug targeting, nano carriers and target interactions associated with particular diseases. The book addresses how phytotherapeutics are effective against solid tumors and how they can be used in designing targeted delivery systems. Also addressed is the use of macrophages as the biomimetic carrier for targeting drugs to different organs. Sections cover the nanotechnology-based concepts in drug targeting, strategies for drug targeting, ways to identify drug carrier-target interaction, the concept of an artificial neural network in identifying drug-target interaction, and more. The book's final section concentrates on the role of nanotechnology in medical diagnosis, throwing light on nanoscale sensors for the diagnosis of viruses in the bloodstream and biomarkers indicating various cancers. This is an important reference source for materials scientists and pharmaceutical scientists who want to understand how nanotechnology plays an important role in creating more efficient drug targeting and delivery systems. Provides extensive coverage of methods of drug-carrier-target identification and the capability of artificial intelligence to recognize patterns in patients using these patterns for nanocarrier design Helps readers understand how nanocarriers must be functionalized for effective targeted delivery and how they can be useful tools for personalized and precise treatment of diseases Assesses the role of nanoscale sensors in the early detection of cancer cells in the bloodstream

Author : Jiangang Liu,Zhenjiang Zhou,Bo Li
Publisher : Frontiers Media SA
Page : 274 pages
File Size : 41,6 Mb
Release : 2024-02-12
Category : Science
ISBN : 9782832544303

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Remote Sensing for Field-based Crop Phenotyping by Jiangang Liu,Zhenjiang Zhou,Bo Li Pdf

Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments

Author : Marte Blikstad-Balas,Inga Staal Jenset
Publisher : Taylor & Francis
Page : 196 pages
File Size : 40,5 Mb
Release : 2024-06-03
Category : Education
ISBN : 9781040032565

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Using Video to Foster Teacher Development by Marte Blikstad-Balas,Inga Staal Jenset Pdf

Featuring an international team of education researchers and practitioners, this edited volume demonstrates various ways in which the use of video recordings can shed light on and improve teaching processes in the classroom environment. Providing a novel and global approach to this burgeoning area of research, chapters highlight how authentic video clips can be used systematically in both teacher education and professional development programs to ensure lifelong professional reflection and growth for teachers. Through detailed insight into research projects where teachers and teacher educators use video to improve practice, the book provides a research-based response to why and how videos can be used to raise instructional quality and discuss key issues in the field. Exploring findings from empirically based research combined with everyday practices, the volume will ultimately serve as a solid and inspiring introduction to the growing body of research on the use of video in teacher learning for educational researchers and educators interested in teaching and teaching practices, as well as practitioners in the fields of teacher education and teachers’ professional development.

Author : Kristin Yvonne Rozier,Swarat Chaudhuri
Publisher : Springer Nature
Page : 508 pages
File Size : 40,5 Mb
Release : 2023-07-04
Category : Computers
ISBN : 9783031331701

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NASA Formal Methods by Kristin Yvonne Rozier,Swarat Chaudhuri Pdf

This book constitutes the proceedings of the 15th International Symposium on NASA Formal Methods, NFM 2023, held in Houston, Texas, USA, during May 16-18, 2023. The 26 full and 3 short papers presented in this volume were carefully reviewed and selected from 75 submissions. The papers deal with advances in formal methods, formal methods techniques, and formal methods in practice.

Author : Daniel Sorensen
Publisher : Springer Nature
Page : 696 pages
File Size : 54,9 Mb
Release : 2023-09-19
Category : Mathematics
ISBN : 9783031358517

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Statistical Learning in Genetics by Daniel Sorensen Pdf

This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, where millions of genetic markers for each individual are coupled with medical records, generating an unparalleled resource for linking human genetic variation to human biology and disease. Similar developments have taken place in animal and plant breeding, where genetic marker information is combined with production traits. An important task for the statistical geneticist is to adapt, construct and implement models that can extract information from these large-scale data. An initial step is to understand the methodology that underlies the probability models and to learn the modern computer-intensive methods required for fitting these models. The objective of this book, suitable for readers who wish to develop analytic skills to perform genomic research, is to provide guidance to take this first step. This book is addressed to numerate biologists who typically lack the formal mathematical background of the professional statistician. For this reason, considerably more detail in explanations and derivations is offered. It is written in a concise style and examples are used profusely. A large proportion of the examples involve programming with the open-source package R. The R code needed to solve the exercises is provided. The MarkDown interface allows the students to implement the code on their own computer, contributing to a better understanding of the underlying theory. Part I presents methods of inference based on likelihood and Bayesian methods, including computational techniques for fitting likelihood and Bayesian models. Part II discusses prediction for continuous and binary data using both frequentist and Bayesian approaches. Some of the models used for prediction are also used for gene discovery. The challenge is to find promising genes without incurring a large proportion of false positive results. Therefore, Part II includes a detour on False Discovery Rate assuming frequentist and Bayesian perspectives. The last chapter of Part II provides an overview of a selected number of non-parametric methods. Part III consists of exercises and their solutions. Daniel Sorensen holds PhD and DSc degrees from the University of Edinburgh and is an elected Fellow of the American Statistical Association. He was professor of Statistical Genetics at Aarhus University where, at present, he is professor emeritus.

Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Page : 391 pages
File Size : 43,6 Mb
Release : 2020-04-23
Category : Computers
ISBN : 9781108470049

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Mathematics for Machine Learning by Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong Pdf

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

Author : Shai Shalev-Shwartz,Shai Ben-David
Publisher : Cambridge University Press
Page : 415 pages
File Size : 55,9 Mb
Release : 2014-05-19
Category : Computers
ISBN : 9781107057135

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Understanding Machine Learning by Shai Shalev-Shwartz,Shai Ben-David Pdf

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.