Optimization and Data Science in Industrial Engineering (eBook, PDF)

Second International Conference, ODSIE 2024, Istanbul, Turkey, November 7-8, 2024, Proceedings
Redaktion: Mirzazadeh, A.; Stecke, Kathryn E.; Weber, Gerhard-Wilhelm; Babaee Tirkolaee, Erfan; Molamohamadi, Zohreh

• Format: PDF

Produktbeschreibung

This volume constitutes the refereed proceedings of the Second International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2024, held in Istanbul, Turkey, during November 7-8, 2024.

The 25 full papers and 1 short paper included in this book were carefully reviewed and selected from 92 submissions. They were organized into topics such as : Artificial Intelligence and Expert Systems in Engineering; Digital Technologies in Healthcare Systems; Smart Supply Chain and Manufacturing Systems; Smart Transportation and Logistics Systems; Data Analytics and Advanced Optimization; and Internet and Mobile Technologies.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 450
• Erscheinungstermin: 5. August 2025
• Englisch
• ISBN-13: 9783031936012
• Artikelnr.: 75129893

Inhaltsangabe

.- 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.