Mining Biomedical Text Images And Visual Features For Information Retrieval
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Mining Biomedical Text Images And Visual Features For Information Retrieval
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Author : Sujata Dash
language : en
Publisher: Elsevier
Release Date : 2024-11-15
Mining Biomedical Text Images And Visual Features For Information Retrieval written by Sujata Dash and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Science categories.
Mining Biomedical Text, Images and Visual Features for Information Retrieval provides the reader with a broad coverage of the concepts, themes, and instrumentalities of the important and evolving area of biomedical text, images, and visual features towards information retrieval. It aims to encourage an even wider adoption of IR methods for assisting in problem-solving and to stimulate research that may lead to additional innovations in this area of research.The book discusses topics such as internet of things for health informatics; data privacy; smart healthcare; medical image processing; 3D medical images; evolutionary computing; deep learning; medical ontology; linguistic indexing; lexical analysis; and domain specific semantic categories in biomedical applications.It is a valuable resource for researchers and graduate students who are interested to learn more about data mining techniques to improve their research work. - Describes many biomedical imaging techniques to detect diseases at the cellular level i.e., image segmentation, classification, or image indexing using a variety of computational intelligence and image processing approaches - Discusses how data mining techniques can be used for noise diminution and filtering MRI, EEG, MEG, fMRI, fNIRS, and PET Images - Presents text mining techniques used for clinical documents in the areas of medicine and Biomedical NLP Systems
Biomedical Data Mining For Information Retrieval
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Author : Sujata Dash
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-06
Biomedical Data Mining For Information Retrieval written by Sujata Dash and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-06 with Computers categories.
BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.
Ai In Diagnostic Radiology Clinical Applications And Case Based Insights
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Author : Kumar, Praveen
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Ai In Diagnostic Radiology Clinical Applications And Case Based Insights written by Kumar, Praveen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Medical categories.
AI rapidly transforms diagnostic radiology, offering powerful tools to enhance image interpretation, streamline workflows, and improve diagnostic accuracy. By utilizing deep learning algorithms trained on medical images, AI systems can detect abnormalities with precision comparable to experienced radiologists in certain contexts. These advancements have found real-world application in areas like chest X-ray analysis, mammography, CT and MRI interpretation, and triage in emergency imaging. Case-based insights demonstrate how AI assists in early disease detection, supports differential diagnosis, and reduces diagnostic errors, contributing to better patient outcomes. However, effective clinical integration requires careful validation, consideration of ethical implications, and collaboration between radiologists and AI developers to ensure technology works with, rather than replaces, human expertise. AI in Diagnostic Radiology: Clinical Applications and Case-Based Insights explores the use of AI in diagnostic radiology to enhance image analysis, improve diagnostic accuracy, and streamline clinical workflows. It explains real-world applications through case-based insights, demonstrating how AI supports radiologists in detecting and interpreting medical conditions. This book covers topics such as medical detection, deep learning, and radiology, and is a useful resource for medical professionals, computer engineers, academicians, researchers, and scientists.
Ai Innovations For Transforming Food Production
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Author : Whig, Pawan
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Ai Innovations For Transforming Food Production written by Whig, Pawan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Technology & Engineering categories.
Artificial Intelligence (AI) revolutionizes the food production industry, offering innovative solutions to meet the global demand for safe, nutritious, and sustainably produced food. From precision agriculture and smart irrigation systems to automated harvesting and supply chain analytics, AI technologies enhance productivity while minimizing environmental impact. Machine learning algorithms enable farmers to make data-driven decisions by predicting crop yields, detecting plant diseases, and optimizing resource usage. AI-driven robotics and sensors improve efficiency and reduce labor costs in farming and food processing. As these innovations evolve, AI may transform the entire food system, making it more resilient, efficient, and capable. AI Innovations for Transforming Food Production explores the revolutionary role AI plays across various aspects of the food industry. It delves into how AI technologies, including machine learning, robotics, and data analytics, transform food production, supply chains, quality control, and sustainability. This book covers topics such as crop yield production, hydroponics, and precision agriculture, and is a useful resource for business owners, engineers, academicians, researchers, and agriculture scientists.
Integrating Ai And Sustainability In Technical And Vocational Education And Training Tvet
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Integrating Ai And Sustainability In Technical And Vocational Education And Training Tvet written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Education categories.
As industries worldwide adopt advanced technologies and sustainable practices, the role of technical and vocational education and training (TVET) is evolving to meet these new demands. TVET institutions must now integrate artificial intelligence (AI) and sustainability into their programs to produce a workforce equipped with future-ready skills. By incorporating AI tools and sustainable practices into TVET curricula, educators can provide learners with the competencies to thrive in green technologies, smart manufacturing, renewable energy, and other emerging fields. This integration empowers individuals with new skills and contributes to a more sustainable, resilient global economy. Further exploration may bridge the gap between technological advancement and environmental responsibility. Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET) provides a comprehensive guide on how TVET can successfully incorporate technological elements, addressing the frameworks, strategies, best practices, and challenges associated with this transformation. It supports educators in navigating the complexities of integrating AI and sustainability into vocational training. This book covers topics such as cybersecurity, data science, and supply chains, and is a useful resource for business owners, engineers, educators, academicians, researchers, and data scientists.
Ai Enabled Sustainable Innovations In Education And Business
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Ai Enabled Sustainable Innovations In Education And Business written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.
Sustainability for the future is an ever-present concern. Modern innovations in education and business are enhancing resources and technology for improved sustainability-driven solutions. Artificial intelligence (AI), specifically, is transforming education and business by providing real-time data processing systems for decision support and streamlining processes. As a result, educators and business leaders are better able to allocate resources and maximize their impact on students, industries, and customers in addition to sustainability. By fostering efficiency and sustainability in education and business, AI may also increase individual environmental awareness and social responsibility. AI-Enabled Sustainable Innovations in Education and Business discusses technological advancements in digital education and learning, and in various industries, including healthcare, finance, and supply chains. It highlights advanced innovations for environmental, economic, and operational sustainability. Covering topics such as information and communication technology (ICT), state government programs, and automated device management, this book is an excellent resource for business leaders, executives, managers, educators, school administrators, technologists, computer engineers, sustainability advocates, professionals, researchers, scholars, academicians, and more.
Exploring The Impact Of Extended Reality Xr Technologies On Promoting Environmental Sustainability
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Author : Shashi Kant Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-06-11
Exploring The Impact Of Extended Reality Xr Technologies On Promoting Environmental Sustainability written by Shashi Kant Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.
This book offers a groundbreaking exploration of how Extended Reality (XR) technologies can drive environmental sustainability. By integrating virtual, augmented, and mixed realities, it provides innovative solutions to enhance understanding and inspire action on environmental issues. The text is meticulously curated to cover the multifaceted applications of XR, from revolutionizing environmental practices with deep learning to leveraging quantum computing for sustainable solutions. It highlights the synergy between XR and artificial intelligence in optimizing supply chains and enhancing data analytics. Aimed at researchers, practitioners, and policymakers, this resource underscores the critical role of XR in environmental advocacy, emphasizing its potential in effective communication and behavior change. The book also delves into immersive education, fostering a culture of environmental stewardship through experiential learning. Ultimately, it calls for interdisciplinary collaboration to address pressing environmental challenges, envisioning a future where XR technologies are pivotal in safeguarding our planet.
Modernizing The Food Industry Ai Powered Infrastructure Security And Supply Chain Innovation
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Author : Whig, Pawan
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Modernizing The Food Industry Ai Powered Infrastructure Security And Supply Chain Innovation written by Whig, Pawan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Technology & Engineering categories.
The food industry has changed immensely with the integration of AI. AI-powered technologies are streamlining operations and enhance food safety. Smart systems can now predict demand and optimize logistics in real time. As global supply chains become more intricate and consumer expectations rise, modernizing the food industry with AI is not only a competitive advantage but a necessary evolution for resilience, sustainability, and long-term growth. Modernizing the Food Industry: AI-Powered Infrastructure, Security, and Supply Chain Innovation explores how AI is transforming the food industry by enhancing infrastructure efficiency, strengthening food security, and optimizing supply chain operations. It examines cutting-edge technologies and real-world applications that drive innovation, sustainability, and resilience across the global food ecosystem. Covering topics such as automation, food traceability, and nutrition, this book is an excellent resource for food industry professionals, supply chain managers, technology innovators, AI researchers, policymakers, academicians, and more.
Mining Multimedia Documents
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Author : Wahiba Ben Abdessalem Karaa
language : en
Publisher: CRC Press
Release Date : 2017-04-21
Mining Multimedia Documents written by Wahiba Ben Abdessalem Karaa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-21 with Computers categories.
The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.
Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes
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Author : Karâa, Wahiba Ben Abdessalem
language : en
Publisher: IGI Global
Release Date : 2015-11-03
Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes written by Karâa, Wahiba Ben Abdessalem and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-03 with Medical categories.
Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.