Optimization and Data Science in Industrial Engineering

Optimization and Data Science in Industrial Engineering

First International Conference, ODSIE 2023, Istanbul, Turkey, November 16-17, 2023, Proceedings, Part I

Molamohamadi, Zohreh; Mirzazadeh, A.; Weber, Gerhard-Wilhelm; Babaee Tirkolaee, Efran; Leung, Janny

Springer International Publishing AG

02/2025

376

Mole

9783031814549

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- 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.- Performance Enhancement of Two-Way DF Relayed Cooperative NOMA Vehicular Network with Outdated CSI and Imperfect SIC.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.
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Artificial intelligence and expert systems;Metaheuristic algorithms with applications in IE;Machine learning algorithms;Big data analytics and Data mining;Industry 4.0, IoT and smart manufacturing;Digital twin and virtual commissioning;Sustainable and smart cities;Robotic process automation;Decision support systems;Supply chain design and logistics;Fintech and algorithmic finance;Quantitative finance and risk modelling;Optimization and Data Science based Case studies