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Titlebook: Innovations in Computer Vision and Data Classification; From Pandemic Data A Arfan Ghani Book 2024 European Alliance for Innovation 2024 Da

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Arfan Ghani,Aravind Bommalatate of delivery. Typically, these conditions are discovered over the course of early phase clinical testing. In what follows, we describe a conceptual tool—“ensemble space”—for understanding scientific decision-making in the early phases of clinical development. Briefly, we liken each condition to a
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Arfan Ghanical applications.Includes case studies from Eastern and cent.Ethics and Human Behaviour in ICT Development .discusses ethics in a professional context and encourages readers to self-assessment of their own behaviour. It provides thought-provoking accounts of the little-known early history of technol
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Arfan Ghanical applications.Includes case studies from Eastern and cent.Ethics and Human Behaviour in ICT Development .discusses ethics in a professional context and encourages readers to self-assessment of their own behaviour. It provides thought-provoking accounts of the little-known early history of technol
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Arfan Ghanical applications.Includes case studies from Eastern and cent.Ethics and Human Behaviour in ICT Development .discusses ethics in a professional context and encourages readers to self-assessment of their own behaviour. It provides thought-provoking accounts of the little-known early history of technol
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Arfan Ghanical applications.Includes case studies from Eastern and cent.Ethics and Human Behaviour in ICT Development .discusses ethics in a professional context and encourages readers to self-assessment of their own behaviour. It provides thought-provoking accounts of the little-known early history of technol
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Rabiya Tahir,Saad Qasim Khan,Arfan Ghanical applications.Includes case studies from Eastern and cent.Ethics and Human Behaviour in ICT Development .discusses ethics in a professional context and encourages readers to self-assessment of their own behaviour. It provides thought-provoking accounts of the little-known early history of technol
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Design and Development of an Integrated Healthcare Platform Using Deep Convolutional Neural Networktalities worldwide. Early detection of these ailments is critical for effective treatment and management. In response to this imperative, this book chapter proposes a novel approach leveraging deep convolutional neural network (DCNN) technology for the extraction of discriminative features and class
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