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« basu dev shivahare »

1-12 sur 12 résultats pour « basu dev shivahare »
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  • Robotics in Weaponry using Machine Learning and Engineering

    Modifié par Saurav Mallik, Sandeep Kumar Mathivanan, Basu Dev Shivahare, Sangeetha S.K.B, Prabhu Jayagopal, Somenath Chakraborty ...
    The integration ML with robotics and weaponry is revolutionizing mechanical engineering by enabling intelligent systems that can adapt, learn, and operate autonomously. In robotics, ML allows systems to process vast amounts of data from sensors to make real-time decisions. Robots, whether in industrial settings or autonomous vehicles, can navigate environments, recognize objects, and optimize ... En savoir plus

    $96.18 CAD

  • Medical Minds and Machine Learning

    Transforming Care with AI

    Modifié par Sandeep Kumar Mathivanan, Saurav Mallik, Basu Dev Shivahare, Sangeetha S.K.B., Shakila Basheer ...
    This volume reviews the convergence of AI and medicine. As healthcare systems face rising demands, clinician shortages, and the complexity of patient data, machine learning and deep learning are stepping in as transformative forces—to improve diagnosis, personalize treatments, and enhance patient outcomes. This book is a comprehensive guide to technologies, applications, and implications of AI in ... En savoir plus

    $96.18 CAD

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    The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems.Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. ... En savoir plus

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  • Digital Health and Wireless Solutions: Integrating AI, LLMs and Multimodal Health Data for Next-Generation Decision Support

    Second Nordic Conference, NCDHWS 2026, Oulu, Finland, June 16–17, 2026, Proceedings, Part II

    Modifié par Mariella Särestöniemi, Daljeet Singh, Erika Jarva, Jarmo Reponen ...
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    This open access volume set CCIS 3009-3011 constitutes the refereed proceedings of the Second Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2026, held in Oulu, Finland, during June 16-17, 2026.The total of 86 full and 21 short papers included in the proceedings was carefully reviewed and selected from 159 submissions. They were organized in topical sections as follows:Part I: ... En savoir plus

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  • Revolutionizing Healthcare 5.0: The Power of Generative AI

    Advancements in Patient Care Through Generative AI Algorithms

    Modifié par Pronaya Bhattacharya, Haipeng Liu, Pushan Kumar Dutta, Joel J. P. C. Rodrigues, Gautam Sethi ...
    Collections series Medicine (R0)
    This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms ... En savoir plus

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  • Application of Generative AI in Healthcare Systems

    Modifié par Azadeh Zamanifar, Miad Faezipour ...
    Collections series Computer Science (R0)
    Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image ... En savoir plus

    $230.99 CAD

  • Advances of Machine Learning for Knowledge Mining in Electronic Health Records

    Modifié par P. Mohamed Fathimal, T. Ganesh Kumar, J. B. Shajilin Loret, Venkataraman Lakshmi, Manish T. I. ...
    The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR consisting of demographics, medical history, and diagnosis, with a focus on the design and representation of structured, semi-structured, and unstructured data.Explains ... En savoir plus

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  • Primer to Neuromorphic Computing

    Modifié par R Sujatha, Shatrughan Modi, Harish Garg, Jyotir Moy Chatterjee ...
    Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and ... En savoir plus

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  • Feature Fusion for Next-Generation AI

    Building Intelligent Solutions from Medical Data

    Modifié par Anindya Nag, Md. Mehedi Hassan, Anupam Kumar Bairagi ...
    Collections series Artificial Intelligence (R0)
    This book delves into the fundamental concepts, methodologies, and practical implementations of feature fusion, providing valuable perspectives on how merging several data aspects might augment the decision-making skills of artificial intelligence. Feature fusion is inherently connected to the advancement of intelligent solutions from medical data as it enables the incorporation of various and ... En savoir plus

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  • Generative Artificial Intelligence for Biomedical and Smart Health Informatics

    Modifié par Aditya Khamparia, Deepak Gupta ...
    Enables readers to understand the future of medical applications with generative AI and related applicationsGenerative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data ... En savoir plus

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  • Deep Learning in Medical Signal and Image Processing

    Modifié par Muhammad Aamir, Uzair Aslam Bhatti, Ziaur Rahman, Jameel Ahmed Bhutto, Waheed Ahmed Abro ...
    Deep learning is revolutionizing the analysis of medical signals and images, offering unprecedented advancements in diagnostic accuracy and efficiency. Techniques such as convolutional and recurrent neural networks are transforming the processing of radiological scans, ultrasound images, and ECG readings. By enabling more detailed and precise interpretations, deep learning enhances the ability of ... En savoir plus

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  • Multimedia and Multimodal Intelligence for Secure and Sustainable Healthcare

    Theoretical and Practical Insights

    Modifié par Sita Rani, Sui Yang Khoo, Ashima Kalra, Hemant Kumar Saini ...
    Collections series Multimedia and Multimodal Intelligence
    Providing a comprehensive examination of artificial intelligence techniques that integrate heterogeneous healthcare data to support intelligent, secure, and sustainable healthcare systems, this book presents both theoretical foundations and practical methodologies for multimodal data fusion, representation learning, decision-making using medical images, biosignals, electronic health records, ... En savoir plus

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