Data Analysis Techniques and Applications.

Format:

Book

Author/Creator:

Méndez-González, Luis Carlos.

Series:

EAI/Springer Innovations in Communication and Computing Series

Language:

English

Physical Description:

1 online resource (630 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

This book presents innovative techniques in data analysis and related branches for solving problems in different areas of science.The authors present multiple techniques in data science and its applications, such as multi-objective optimization, statistical analysis, statistical process, and design of experiments for industry, artificial.

Contents:

EAI/Springer Innovations in Communication and Computing

Data Analysis Techniques and Applications

Preface

Contents

1. Predicting Electricity Generation and Consumption Through a Time Series Algorithm in Mexico

2. Aggregate Production Planning in a Reverse Logistics Context Under Uncertainty of Demand and Service Level

3. Bibliometric Analysis of Nitriding Thermochemical Treatment

4. Developing a Computer Vision-Based Handwritten Recognition, Modeling, and Simulation of Deterministic and Nondeterministic Finite Automata: A Multidisciplinary Approach

5. Strengthening Resilience Through Risk Analysis in the Mining Sector of the State of Sonora

6. Risks in the Supply Chain of the Persian Lemon: Mexican Case

7. Covers the Route to Humanitarian Support Centers with Unmanned Aerial Systems (UAVs)

8. Resilient Supply Chain in Manufacturing Small and Medium Enterprises (SMEs) Using New Trendings in Data Analysis Techniques. A Literature Review

9. Synergic Method for the Installation of a Humanitarian Logistics Center in Mexico

10. Predictive Diagnosis of Chronic Diseases Using Deep Learning Approaches for Vulnerable Populations

11. Advancing Renewable Energy: Integrating Machine Learning and Multi-Objective Optimization for Efficient Data Analysis and Applications

12. Applying Advanced Data Science Tools to Enhance University Teacher Evaluation Processes

13. Lung Cancer Detection Based on Data Analysis of Histopathological Images

14. Determinants of Information Technology Governance Mechanisms: A Systematic Literature Review

15. Application of Machine Learning Using Unsupervised Models on Databases of University Students Under the Effect of COVID-19

16. UAV and AI into Innovation Strategies to Smallholders

17. Blood Vessel Segmentation in Infrared Reflectance Retinography Using Deep Learning.

18. Design and Validation of a Multidisciplinary Mobile App Simulator of a Real-Time Human Body Modeling and Movement Tracking

19. Bi-level Approach for Discovering Latent Variables in Bayesian Networks

Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-13703-9

OCLC:

1589863324