Del 2189 i serien Communications in Computer and Information Science

Cloud Computing, Big Data and Emerging Topics

12th Conference, JCC-BD&ET 2024, La Plata, Argentina, June 25–27, 2024, Revised Selected Papers

Häftad, Engelska, 2024

AvMarcelo Naiouf,Laura De Giusti,Franco Chichizola,Leandro Libutti

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This volume CCIS 2189 constitutes the refereed proceedings of the 12th Conference, JCC-BD&ET 2024, held in La Plata, Argentina during June 25–27, 2024. The 12 full papers presented were carefully reviewed and selected from 37 submissions. They were categorized under the topical sections as follows: Parallel and Distributed Computing, Machine and Deep Learning, Smart Cities and E-Government, Visualization, Emerging Topics, Innovation in Computer Science Education, Computer Security.

Produktinformation

Utgivningsdatum2024-10-11
Mått155 x 235 x 11 mm
Vikt295 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor176
FörlagSpringer International Publishing AG
ISBN9783031708060

Tillhör följande kategorier

Nätverk och kommunikation inom Data och IT
Databaser inom Data och IT

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.