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Big Data and Data Science Engineering : Volume 7 / edited by Roger Lee.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Contributor:
Lee, Roger, Editor.
Series:
Studies in Computational Intelligence, 1860-9503 ; 759
Language:
English
Subjects (All):
Engineering--Data processing.
Engineering.
Computational intelligence.
Big data.
Data Engineering.
Computational Intelligence.
Big Data.
Local Subjects:
Data Engineering.
Computational Intelligence.
Big Data.
Physical Description:
1 online resource (X, 184 p. 114 illus., 76 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
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.
Contents:
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
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-78373-5
OCLC:
1518801826

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