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Big Data and Data Science Engineering: Volume 7 [Kõva köide]

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  • Formaat: Hardback, 184 pages, kõrgus x laius: 235x155 mm, 76 Illustrations, color; 38 Illustrations, black and white; X, 184 p. 114 illus., 76 illus. in color., 1 Hardback
  • Sari: Studies in Computational Intelligence 759
  • Ilmumisaeg: 01-May-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031783727
  • ISBN-13: 9783031783722
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  • Kõva köide
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Big Data and Data Science Engineering: Volume 7Suurem pilt
  • Formaat: Hardback, 184 pages, kõrgus x laius: 235x155 mm, 76 Illustrations, color; 38 Illustrations, black and white; X, 184 p. 114 illus., 76 illus. in color., 1 Hardback
  • Sari: Studies in Computational Intelligence 759
  • Ilmumisaeg: 01-May-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031783727
  • ISBN-13: 9783031783722
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031783722.html
Märksõnad:
This book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world.





This book publishes original papers on both theory and practice that address foundations, state-of-the-art problems and solutions, and crucial challenges.
Using Modified SA With Adaptive Clustering for Solving The Electric
Vehicle Routing Problem.-Utilizing Machine Learning Methods For Predicting
Stock Market Movement A Case StudyWith The S&P 500 Index.- Career awareness
of foreigners working in Hokkaido as a result of studying abroad.- Predicting
Power Plant Start Up Time Leveraging Random Forest Algorithm and Univariate
Selection for Enhanced Generator Performance.- Explainable Sentiment Analysis
Utilizing Deep Learning Methods and LIME.- Quantum safe Hash Time locked
Cross chain Transaction Mechanism.- Positive Computing through Images and
Scents.- Edge Enhanced ConvNeXt Unet for Foveal Avascular Zone Segmentation
from Optical Coherence Tomography Angiography.- Edge Enhanced ConvNeXt Unet
for Foveal Avascular Zone Segmentation from Optical Coherence Tomography
Angiography.- Wavelet Enhanced GAN for Image Outpainting.- Wood Strength
Prediction via Log Section Images using Filtered Swin Transformer
Model.- Lifelog Tagging System Using Physiological and Environmental
Indicators.- Governance of Cyber Threat Information Sharing for Public
Private Partnerships Comparative Analysis of National Cases.- Extracting
Unique Keywords Related to Customer Engagement from Review Text Using
UncorrelatedWeights Estimation in Neural Networks.