Full Description
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.
Contents
.- 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.
