• Produktbild: Optimization and Data Science in Industrial Engineering
  • Produktbild: Optimization and Data Science in Industrial Engineering
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Optimization and Data Science in Industrial Engineering First International Conference, ODSIE 2023, Istanbul, Turkey, November 16–17, 2023, Proceedings, Part I

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.01.2025

Abbildungen

XXII, 356 p. 143 illus., 130 illus. in color.

Herausgeber

A. Mirzazadeh + weitere

Verlag

Springer

Seitenzahl

356

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

575 g

Sprache

Englisch

ISBN

978-3-031-81454-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.01.2025

Abbildungen

XXII, 356 p. 143 illus., 130 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

356

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

575 g

Sprache

Englisch

ISBN

978-3-031-81454-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Optimization and Data Science in Industrial Engineering
  • Produktbild: Optimization and Data Science in Industrial Engineering

  • .- Smart and Intelligent Transportation Systems.


    .- Optimizing Traffic Flow: A Multi-Agent Approach to Dynamic Signal Control Accounting for Vehicle Types.


    .- Estimating Parking Lot Occupancy Based on Traffic Congestion for Route Planning.


    .- A Framework for Simulating the Optimal Allocation of Shared E-Scooters.


    .- Performance Enhancement of Two-Way DF Relayed Cooperative NOMA Vehicular Network with Outdated CSI and Imperfect SIC.


    .- Machine/Deep/Reinforcement Learning in Industries.


    .- Integration of Artificial Intelligence for the Analysis and Monitoring of Projects within Companies.


    .- Multi-Criteria Inventory Classification with Machine Learning Algorithms in the Manufacturing Industry.


    .- Analyzing Results of Business Process Automation with Machine Learning Methods.


    .- Predictive Analysis of Surface Defects in Engineering Structures Using Machine Learning Technologies.


    .- Enhancing Autonomous Industrial Navigation: Deep Reinforcement Learning for Obstacle Avoidance in Challenging Environments.


    .- Fast and Accurate Right-Hand Detection Based on YOLOv8 from the Egocentric Vision Dataset.


    .- Comparative Study of 3D Hand Pose Estimation on HOI4D Dataset by Convolutional Neural Networks.


    .- Prediction of Ethereum Prices Based on Blockchain Information in an Industrial Finance System using Machine Learning Techniques.


    .- Email Classification of Text Data Using Machine Learning and Natural Language Processing Technique.


    .- The Fake News Detection Model Explanation and Infrastructure Aspects.


    .- Advances of Artificial Intelligence/Operational Research Tools in Healthcare.


    .- An Advanced Approach to COVID-19 Detection using Deep Learning and X-ray Imaging.


    .- Exploring Factors that Affect the User Intention to Take Covid Vaccine Dose.


    .- Unsupervised Incremental-Decremental Attribute Learning Healthcare Application based Feature Selection.


    .- On Solving the Physicians Scheduling Problem at an Emergency Department: A Case Study from Canada.


    .- Temporal Emotional and Thematic Progression (TETP): A Novel Analysis of Mental Health Discussions on Social Platforms.