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Optimization and Data Science in Industrial Engineering -

Optimization and Data Science in Industrial Engineering

Second International Conference, ODSIE 2024, Istanbul, Turkey, November 7–8, 2024, Proceedings
Buch | Softcover
XVII, 450 Seiten
2025
Springer International Publishing (Verlag)
9783031936005 (ISBN)
CHF 134,80 inkl. MwSt
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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.

.- 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.

.-

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XVII, 450 p. 172 illus., 135 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence and Expert Systems • Big data analytics and Data mining • Decision Support Systems • Digital twin and virtual commissioning • Fintech and algorithmic finance • Industry 4.0, IoT and smart manufacturing • machine learning algorithms • Metaheuristic algorithms with applications in IE • Optimization and Data Science based Case studies • Quantitative finance and risk modelling • Robotic Process Automation • Supply chain design and logistics • Sustainable and smart cities
ISBN-13 9783031936005 / 9783031936005
Zustand Neuware
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