Cloud Computing, Big Data and Emerging Topics
portes grátis
Cloud Computing, Big Data and Emerging Topics
12th Conference, JCC-BD&ET 2024, La Plata, Argentina, June 25-27, 2024, Revised Selected Papers
Chichizola, Franco; Naiouf, Marcelo; Libutti, Leandro; De Giusti, Laura
Springer International Publishing AG
11/2024
172
Mole
9783031708060
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
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 analisis.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
cloud computing;big data;high-performance computing;smart cities;internet of things;Data Intelligence;Edge Computing;Fog Computing;Human-Computer Interaction;Emerging Technologies;Distributed Algorithms;Parallel Algorithms;Hardware Accelerators;Industry 5.0;Business Intelligence;Machine Learning;Artificial Intelligence;Data Mining;Intelligent Agents
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 analisis.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
cloud computing;big data;high-performance computing;smart cities;internet of things;Data Intelligence;Edge Computing;Fog Computing;Human-Computer Interaction;Emerging Technologies;Distributed Algorithms;Parallel Algorithms;Hardware Accelerators;Industry 5.0;Business Intelligence;Machine Learning;Artificial Intelligence;Data Mining;Intelligent Agents
