Search Results - "deep learning"
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AI and deep learning in biometric security : trends, potential, and challenges /
Published 2021Table of Contents: “…Deep learning based hyperspectral multimodal biometric authentication system using palmprint and dorsal hand vein / Shuping Zhao, Wei Nie, Bob Zhang -- Cancelable biometrics for template protection: Future directives with deep learning / Avantika Singh, Gaurav Jaswal, Aditya Nigam -- On training generative adversarial network for enhancement of latent fingerprints / Indu Joshi, Adithya Anand, Sumantra D Roy and Prem K Kalra.…”
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2
Artificial intelligence trends for data analytics using machine learning and deep learning approaches /
Published 2021Table of Contents: “…Alamelu -- Object detection and tracking in video using deep learning techniques : A review / Dhivya Praba R, Kavitha K.…”
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3
Smart agriculture : emerging pedagogies of deep learning, machine learning and Internet of Things /
Published 2021Table of Contents: “…Machine learning and deep learning in agriculture, Descriptive and predictive analytics of agricultural data using machine learning algorithms, Discrimination between weed and crop via image analysis using machine learning algorithm, Bio-inspired optimization algorithms for machine learning in agriculture applications, Agricultural modernization with forecasting stages and machine learning, Classification of segmented image using increased global contrast for Paddy plant disease, IOT in agriculture: Survey on technology, challenges and future scope, Role of IoT in sustainable farming,Smart farming: Crop models and decision support systems using IOT, Smart irrigation in farming using internet of things, Automation systems in agriculture via IOT, A complete automated solution for farm field and garden nurture using internet of things, Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection, Clock signal and its attribute for agriculture.…”
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4
Accelerating drug discovery with machine learning and AI
Published 2022Subjects: Get full text
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5
Artificial Intelligence for Autonomous Networks /
Published 2018Table of Contents: “…Machine Learning, Deep Learning, Artificial Intelligence --Michael Lanzetta --…”
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6
ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING from theory to clinical practice.
Published 2019Taylor & Francis
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7
Artificial intelligence for drug development, precision medicine, and healthcare /
Published 2020Table of Contents: “…Artificial Neural Network. 6. Deep Learning Neural Network. 7. Kernel Methods. 8. Decision Tree and Ensemble Methods. 9. …”
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AI Meets BI : Artificial Intelligence and Business Intelligence /
Published 2020Taylor & Francis
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Artificial intelligence in accounting : practical applications /
Published 2021Taylor & Francis
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10
Big data : a new medium? /
Published 2021Table of Contents: “…Big data, engendered determinism and the end of prophecy / Franco 'Bifo' Berardi -- "Visual hallucination of probable events" : on environments of images, data, and machine learning / Abelardo Gil-Fournier and Jussi Parikka -- Biometric datafication in governmental and personal spheres / Btihaj Ajana -- Digital biopolitics and the problem of fatigue in platform capitalism / Tim Christaens -- Appreciating machine-generated artwork through deep learning mechanisms / Lonce Wyse -- Data to the Nth degree : zooming in on the smart set / Craig J. …”
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11
Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers /
Published 2015Get full text
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12
Augmented Intelligence The Business Power of Human-Machine Collaboration.
Published 2019Table of Contents: “…Iterative Learning from DataThe Roles of Statistics and Data Mining in Machine Learning; Putting Machine Learning in Context; Approaches to Machine Learning; Supervised Learning; Unsupervised Learning; Reinforcement Learning; Neural Networks and Deep Learning; Evolving to Deep Learning; Preparing for Augmented Intelligence; Chapter 3: The Cycle of Data; Introduction; Knowledge Transfer; Personalization; Determining the Right Data for Building Models; The Phases of the Data Cycle; Data Acquisition; Identifying Data Already within the Organization; Reasons for Acquiring Additional Data…”
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13
Artificial intelligence for the internet of health things /
Published 2021Taylor & Francis
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Artificial intelligence : applications in healthcare delivery /
Published 2021Taylor & Francis
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