Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning write by Roger Inge. This book was released on 2017. Machine Learning available in PDF, EPUB and Kindle. In chapter one, Lei Jia, PhD and Hua Gao, PhD analyze machine learning applications in small molecule and macromolecule drug discovery and development while comparing the similarities and differences between the two. They also examine their advantages and limitations with the intent to encourage further creative machine learning applications in drug discovery and development. During chapter two, Oscar Claveria, Enric Monte, and Salvador Torra present a study on the extrapolative performance of several machine learning models in a multiple-input multiple-output setting that permits cross-correlation between the inputs. Bojan Ploj, Germano Resconi, and Ali Yaghoubi parallel the solution of a system by logic gates and by a neural network, in which considerations are computed by the designated one step method during chapter three. In chapter four, Loris Nannia, Nicolò Zaffonatoa, Christian Salvatoreb, Isabella Castiglionib, and the Alzheimers Disease Neuroimaging Initiative propose a method that could aid in the early diagnosis of Alzheimers disease. Afterwards, F. Dornaika and I. Kamal Aldine present and experimentally assess two non-linear data self-representativeness coding schemes based on Hilbert space and column generation. Lastly, Christos Chrysoulas, Grigorios Kalliatakis, and Georgios Stamatiadis give an overview of Apache Hadoop, an open-source software framework used to distribute storage and process big data using the MapReduce programming model.
Advances in Research and Applications
Advances in Research and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Research and Applications write by . This book was released on 1996-12-13. Advances in Research and Applications available in PDF, EPUB and Kindle. Solid State Physics, Volume 50 continues the series' tradition of excellence by focusing on the optical and electronic properties and applications of semiconductors. All of the topics in this volume are at thecutting-edge of research in the semiconductor field and will be of great interest to the scientific community.
Mobile Health
Mobile Health - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mobile Health write by Gaurav Gupta. This book was released on 2021. Mobile Health available in PDF, EPUB and Kindle. Smart health technologies continue to gain research interest across the globe in this digital era. Researchers are focusing on advancements in healthcare systems to make human life better. Also, such advancements help in early disease diagnosis and prevention of the worst diseases. Designing smart healthcare systems is possible only because of recent developments in artificial intelligence, machine learning and IoT technologies. Though mHealth refers to all mobile devices which can communicate data, mobile phones are presently the most popular platform for mHealth delivery. Ninety-four percent of the world population owns/uses a mobile phone, making mobile phones an optimal delivery platform for mHealth interventions. mHealth may catalyse the healthcare delivery model from a historical/episodic model into a tangible/patient-centric model. mHealth is being viewed progressively by many as an essential technology metaphor to achieve rich, vigorous patient engagement, ultimately achieving a patient-centric paradigm change.This book will discuss diverse topics to explain the rapidly emerging and evolving mobile health and artificial perspective, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various research domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to mHealth. The wide variety in topics it presents offers readers multiple perspectives on a variety of disciplines.The aim of this edited book is to publish the latest research advancements in the convergence of automation technology, artificial intelligence, biomedical engineering and health informatics. This will help readers to grasp the extensive point of view and the essence of recent advances in this field. This book solicits contributions which include theory, case studies and computing paradigms pertaining to healthcare applications. The prospective audience would be researchers, professionals, practitioners, and students from academia and industry who work in this field. We hope the chapters presented will inspire future research from both theoretical and practical viewpoints to spur further advances in the field. A brief introduction about each chapter follows. Chapter 1 focuses on the role of Internet of Things (IoT) technologies in healthcare which provides an overview of the various types of IoT devices and data generating equipment for medical information.In Chapter 2, the objective is to provide a brief discussion about the advantages and disadvantages of using IoT based technologies in healthcare such as wearable devices. Chapter 3 deals with important aspects of data science for healthcare systems, which includes various algorithms for decision support system algorithms. Chapter 4 discusses various innovative technologies like digital twins for healthcare and medical diagnosis.Chapter 5 discusses research investigating the long-term effects of pregnancy and lactation on the female body.Chapter 6 summarizes recent advances in machine and deep learning techniques for smart healthcare applications.Chapter 7 explores the research insights on using an artificial neural network with a wrapper-based feature selection to predict heart failure.Chapter 8 presents a review on context-aware mobile healthcare for smart health services in nursing homes.Chapter 9 focuses on certain machine learning methods that can help in early prediction of pandemics.Chapter 10 explores techniques and methods based on machine learning for malaria diagnosis.Chapter 11 is a complete discussion about mobile health technology to improve health-related quality of life of chronic disease patients in emerging economies.We are grateful to the authors and reviewers for their excellent contributions for making this book possible.
Artificial Intelligence
Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence write by Luis Carlos Rabelo Mendizabal. This book was released on 2017-11. Artificial Intelligence available in PDF, EPUB and Kindle. After decades of basic research and more promises than impressive applications, artificial intelligence (AI) is starting to deliver benefits. A convergence of advances is motivating this new surge of AI development and applications. Computer capability as it has evolved from high throughput and high performance computing systems is increasing. AI models and operations research adaptations are becoming more mature, and the world is breeding big data not only from the web and social media but also from the Internet of Things. Organizations around the world have been realizing that there are substantial performance gains and increases in productivity for the use of AI and predictive analytics techniques. Their use is bringing a new era of breakthrough innovation and opportunities. This book, compiles research insights and applications in diverse areas such as manufacturing, supply chain management, pricing, autonomous vehicles, healthcare, ecommerce, and aeronautics. Using classical and advanced tools in AI such as deep learning, particle swarm optimization, support vector machines and genetic programming among others. This is a very distinctive book which discusses important applications using a variety of paradigms from AI and outlines some of the research to be performed. The work supersedes similar books that do not cover as diversified a set of sophisticated applications. The authors present a comprehensive and articulated view of recent developments, identifies the applications gap by quoting from the experience of experts, and details suggested research areas. Artificial Intelligence: Advances in Research and Applications guides the reader through an intuitive understanding of the methodologies and tools for building and modeling intelligent systems. The book's coverage is broad, starting with clustering techniques with unsupervised ensemble learning, where the optimal combination strategy of individual partitions is robust in comparison to the selection of an algorithmic clustering pool. This is followed by a case in a parallel-distributed simulator using deep learning for its configuration. Chapter Three presents a case for autonomous vehicles. Chapter Four discusses the novel use of genetic algorithms with support vector machines. Chapters Five through Thirteen focus on the applications. The book discusses how the use of AI can allow for productivity development and other benefits not just for businesses, but also for economies. Finally, you can find an interesting investigation of the transhuman dimension of AI.
ELISA
ELISA - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook ELISA write by Jose Ma. M. Angeles. This book was released on 2022. ELISA available in PDF, EPUB and Kindle. "In September 1971, Swiss scientists Eva Engvall and Peter Perlmann published a communication in the journal Immunochemistry on enzyme-linked immunosorbent assay (ELISA) as a quantitative assay of immunoglobulin G. They have modified radioimmunoassay (RIA) by replacing the radioactive iodine with enzymes and used in determining the levels of IgG in rabbit serum. Fifty years after, ELISA is still the most commonly used technique in measuring peptides, proteins, antibodies, antigens, and hormones in various samples. This plate-based assay is a very versatile laboratory technique and offers many advantages to laboratory scientists and researchers such as generating quick results, simple protocols, high sensitivity, being easily automated and being convenient to perform. Its application in the diagnosis of different infectious diseases has shown the unquestionable importance of this technique even in the modern world. In this book, the usefulness of ELISA in the control of different parasitic diseases including schistosomiasis, babesiosis, and malaria will be discussed. There is also a chapter featuring an extensive discussion on the use of ELISA in functional food development and regulation. And finally, the last two chapters will present advanced techniques inspired by ELISA including a rapid immunoassay for detecting paralytic shellfish poisoning toxins and the enzyme-linked aptamer assay. May this book provide significant information regarding the current advances and applications of ELISA and possibly inspire its use in another 50 years"--
