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  • Artificial Intelligence for Human Fertility: Trends, Insights, and Predictions

    Series series Artificial Intelligence (R0)
    This book studies reasons behind the dramatic decline in total fertility rate (TFR), which has dropped to half of its previous levels. A major factor contributing to this trend is the widespread lack of recognition of fertility issues as a medical concern, compounded by insufficient societal awareness. To better understand the dynamics of human reproduction, this book identifies various factors ... Leer más

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  • Active Learning to Minimize the Possible Risk of Future Epidemics

    Series series Intelligent Technologies and Robotics (R0)
    Future epidemics are inevitable, and it takes months and even years to collect fully annotated data. The sheer magnitude of data required for machine learning algorithms, spanning both shallow and deep structures, raises a fundamental question: how big data is big enough to effectively tackle future epidemics? In this context, active learning, often referred to as human or expert-in-the-loop ... Leer más

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  • AI, Ethical Issues and Explainability—Applied Biometrics

    Series series Intelligent Technologies and Robotics (R0)
    AI has contributed a lot and biometrics is no exception. To make AI solutions commercialized/fully functional, one requires trustworthy and explainable AI (XAI) solutions while respecting ethical issues. Within the scope of biometrics, the book aims at both revisiting ethical AI principles by taking into account state-of-the-art AI-guided tools and their responsibilities i.e., responsible AI. With ... Leer más

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  • Artificial Intelligence and Machine Learning in Public Healthcare

    Opportunities and Societal Impact

    Series series Social Sciences (R0)
    This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in ... Leer más

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  • Deep Learning Models for Medical Imaging

    Series series Primers in Biomedical Imaging Devices and Systems
    Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network ... Leer más

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  • Recent Trends in Image Processing and Pattern Recognition

    Third International Conference, RTIP2R 2020, Aurangabad, India, January 3–4, 2020, Revised Selected Papers, Part I

    Edición de K. C. Santosh, Bharti Gawali ...
    Series Libro 1 - Springer Nature Proceedings Computer Science
    This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020.The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I: Computer vision ... Leer más

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  • Recent Trends in Image Processing and Pattern Recognition

    Second International Conference, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers, Part I

    Series Libro 1 - Springer Nature Proceedings Computer Science
    This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018.The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer ... Leer más

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  • Intelligent Systems and Methods to Combat Covid-19

    This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help ... Leer más

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  • Medical Imaging

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    Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards.The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community.The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), ... Leer más

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  • Document Image Analysis

    Current Trends and Challenges in Graphics Recognition

    de K.C. Santosh ...
    Series series Computer Science (R0)
    The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be ... Leer más

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  • Cracking the Machine Learning Code: Technicality or Innovation?

    Series series Intelligent Technologies and Robotics (R0)
    Employing off-the-shelf machine learning models is not an innovation. The journey through technicalities and innovation in the machine learning field is ongoing, and we hope this book serves as a compass, guiding the readers through the evolving landscape of artificial intelligence. It typically includes model selection, parameter tuning and optimization, use of pre-trained models and transfer ... Leer más

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  • Recent Trends in Image Processing and Pattern Recognition

    Third International Conference, RTIP2R 2020, Aurangabad, India, January 3–4, 2020, Revised Selected Papers, Part II

    Edición de K. C. Santosh, Bharti Gawali ...
    Series Libro 2 - Springer Nature Proceedings Computer Science
    This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020.The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I: Computer vision ... Leer más

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