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Produktbild: Optimization and Data Science in Industrial Engineering
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Optimization and Data Science in Industrial Engineering Second International Conference, ODSIE 2024, Istanbul, Turkey, November 7–8, 2024, Proceedings

Aus der Reihe Communications in Computer and Information Science
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85,99 € UVP 96,29 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.08.2025

Abbildungen

XVII, 450 p. 172 illus., 135 illus. in color.

Herausgeber

A. Mirzazadeh + weitere

Verlag

Springer

Seitenzahl

450

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

703 g

Sprache

Englisch

ISBN

978-3-031-93600-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.08.2025

Abbildungen

XVII, 450 p. 172 illus., 135 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

450

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

703 g

Sprache

Englisch

ISBN

978-3-031-93600-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Optimization and Data Science in Industrial Engineering

  • .-
    Artificial Intelligence and Expert Systems in Engineering
    .


    .- Evaluation of Large Language Models in Annotating Metaphorical Sentences.


    .- Machine Learning-Based Predictive Approach for the Vessel’s Trajectory Using Automatic Identification System and Meteorological Data.


    .- Harnessing Artifiial Intelligence for Proactive Cybersecurity and Operational Optimization in Business Processes.


    .-
    Digital Technologies in Healthcare Systems
    .


    .- Integrative Review of Machine Learning and Deep Learning Approaches for Cardiovascular Disease Detection, Classification, and Prediction.


    .- Psychographic Profiles of Healthcare Professionals and Their Impact on Prescribing Behaviour.


    .- The Impact of AI-Driven Digital Marketing Strategies on Pharmaceutical Consumer Behavior.


    .- The Impact of Artificial Intelligence on Medical Professional Language and Doctor-Patient Interactions.


    .- A New Hybrid Algorithm to Diagnose MS Using MRI Image Processing.


    .- Comparative Approach of Deep Learning Methods for Predicting Functional Outcomes After Stroke.


    .-
    Smart Supply Chain and Manufacturing Systems
    .


    .- Leveraging Supply Chain Analytics in the Era of Industry 4.0: A Comprehensive Guide to Data-Driven Opti-mization and Decision-Making.


    .- A Case Study on Traffic Forecasting for Supply Chain Management: Optimization of the Long Short-Term Memory Model.


    .- Defining Key Competencies for Smart and Sustainable Humanitarian Logistics.


    .-
    Smart Transportation and Logistics Systems
    .


    .- Integrating Pedestrian and Scooter Traffic: A Model for Safe Urban Mobility.


    .- A Study on Optimizing Training Time for Traffic Speed Estimation Using Graph Neural Networks.


    .- Optimization of Signalized Intersections: Analyzing Autonomous Vehicle Behaviors through Data-Driven Simulations.


    .- Integrating Machine Learning with Optimization to Solve Time-Dependent Cash in Transit Vehicle Routing Problem with Time Windows.


    .- Creation of A Fixed Wing UAV Based on Ardupilot Firmware with Elements of Radio Interference Countermeasure System.


    .- Optimizing Vehicle Routing in the Dial-a-Ride Problem Using Deep Q-Networks.


    .-
    Data Analytics and Advanced Optimization
    .


    .- Computational Approach for Solving Fredholm Integral Equations.


    .- Leveraging General Unary Hypotheses Automaton for Automating Technical Analysis: A Case Study on Bitcoin Prices.


    .- Data Science Techniques for Opinion Mining in Industrial Applications.


    .- Investigating the Performance of Recently Proposed Metaheuristic Optimization Algorithms on Real-World Engineering Design Problems.


    .- Comparison of Feasible Initial Solution Methods for the Knapsack Problem.


    .- A Comparative Approach to Multi-response Optimization for AWJM of Monel 400 Alloys Using Hybrid Metaheuristic-MCDM Techniques.


    .-
    Internet and Mobile Technologies
    .


    .- Developing Users’ Acceptance Framework towards Mobile Commerce: An Exploratory Study.


    .- A Smartphone-Based Solution for Enhancing Interactive Learning Experiences in Early Childhood Education using NFC and Holographic Modules.