Description

Book Synopsis

Parallel and Distributed Computing.- Fast genomic data compression on multicore machines.- Machine and Deep Learning.- Deep Learning based instance segmentation of Neural Progenitor Cell nuclei in fluorescence microscopy images.- Deep Learning based instance segmentation of Neural Progenitor Cell nuclei in fluorescence microscopy images.- CB-RISE Improving the RISE interpretability method through Convergence Detection and Blurred Perturbations.- Wavelength Calibration of Historical Spectrographic Plates With Dynamic Time Warping.- An Empirical Method for Processing IO Traces to Analyze the Performance of DL Application.- Smart Cities and E-Government.- Industry 5.0. Digital Twins in the process industry A bibliometric análisis.- Visualization.- An ABMS COVID19 Propagation Model for Hospital Emergency Departments.- Emerging Topics.- QuantumUnit A proposal for classic multi qubit assertion development.- Tool for quantum classical software lifecycle.- Innovation in Computer Science Education.- Strategies to predict students exam attendance.- Computer Security.- Prediction of TCP Firewall Action Using Different Machine Learning Models.

Cloud Computing Big Data and Emerging Topics

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    A Paperback by Marcelo Naiouf

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      View other formats and editions of Cloud Computing Big Data and Emerging Topics by Marcelo Naiouf

      Publisher: Springer
      Publication Date: 11/10/2024
      ISBN13: 9783031708060, 978-3031708060
      ISBN10:

      Description

      Book Synopsis

      Parallel and Distributed Computing.- Fast genomic data compression on multicore machines.- Machine and Deep Learning.- Deep Learning based instance segmentation of Neural Progenitor Cell nuclei in fluorescence microscopy images.- Deep Learning based instance segmentation of Neural Progenitor Cell nuclei in fluorescence microscopy images.- CB-RISE Improving the RISE interpretability method through Convergence Detection and Blurred Perturbations.- Wavelength Calibration of Historical Spectrographic Plates With Dynamic Time Warping.- An Empirical Method for Processing IO Traces to Analyze the Performance of DL Application.- Smart Cities and E-Government.- Industry 5.0. Digital Twins in the process industry A bibliometric análisis.- Visualization.- An ABMS COVID19 Propagation Model for Hospital Emergency Departments.- Emerging Topics.- QuantumUnit A proposal for classic multi qubit assertion development.- Tool for quantum classical software lifecycle.- Innovation in Computer Science Education.- Strategies to predict students exam attendance.- Computer Security.- Prediction of TCP Firewall Action Using Different Machine Learning Models.

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