Resultados de búsqueda - "Machine Learning"

Bioinformatics Applications Based On Machine Learning

Materias: “…machine learning…”
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Multi-Agent Technologies and Machine Learning

Materias: “…Machine learning bicssc…”
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Bioinformatics and Machine Learning for Cancer Biology

Materias: “…machine learning…”
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Advancing cancer nanomedicine with machine learning por Xifeng Qin, Tun Lu, Zhiqing Pang

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Machine learning enhanced virtual autopsy por Shane O'Sullivan Shane O'Sullivan, Andreas Holzinger, Kurt Zatloukalc, Paulo Saldiva, Mohammed Imran Sajid, Dominic Wichmann

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SYNTHETIC DATA IN MACHINE LEARNING FOR PATHOLOGY por Richard J. Chen, Ming Y. Lu, Tiffany Y. Chen, Drew F.K. Williamson, Faisal Mahmood

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Machine learning empowered drug discovery por Thirumoorthy Durai Ananda Kumar, Naraparaju Swathi

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Machine Learning in Point of Care Ultrasound por Momodou L. Sonko, T. Campbell Arnold, Ivan A. Kuznetsov

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Diagnosing Breast Cancer by Machine Learning por Kasra Dolatkhahi, Adel Azar, Tooraj Karimi, Mohammad Hadizadeh

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Opportunities of machine learning algorithms for education por Olga Ovtšarenko

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Machine Learning in Antibacterial Drug Design por Marko Jukič, Marko Jukič, Urban Bren, Urban Bren

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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018

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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020

Materias: “…Machine Learning…”
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Machine learning methods for optical communications por Machine learning methods for optical communications

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Early Stage Machine Learning-Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach por Mehta, Mihir, Julaiti, Juxihong, Griffin, Paul, Kumara, Soundar

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Machine Learning and Its Application to Reacting Flows ML and Combustion /

Tabla de Contenidos: “…Introduction -- ML Algorithms, Techniques and their Application to Reactive Molecular Dynamics Simulations -- Big Data Analysis, Analytics & ML role -- ML for SGS Turbulence (including scalar flux) Closures -- ML for Combustion Chemistry -- Applying CNNs to model SGS flame wrinkling in thickened flame LES (TFLES) -- Machine Learning Strategy for Subgrid Modelling of Turbulent Combustion using Linear Eddy Mixing based Tabulation -- MILD Combustion-Joint SGS FDF -- Machine Learning for Principal Component Analysis & Transport -- Super Resolution Neural Network for Turbulent non-premixed Combustion -- ML in Thermoacoustics -- Concluding Remarks & Outlook.…”
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Soft Computing and Machine Learning in Dam Engineering

Materias: “…machine learning…”
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Recent Advances in Machine Learning and Computational Intelligence

Materias: “…machine learning…”
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Flood Forecasting Using Machine Learning Methods por Chang, Fi-John

Materias: “…ensemble machine learning…”
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Machine Learning With Radiation Oncology Big Data por Lei Xing

Materias: “…machine learning…”
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