Description

Book Synopsis

.- 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.

Optimization and Data Science in Industrial Engineering

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    A Paperback by A. Mirzazadeh

    15 in stock


      View other formats and editions of Optimization and Data Science in Industrial Engineering by A. Mirzazadeh

      Publisher: Springer
      Publication Date: 21/06/2025
      ISBN13: 9783031936005, 978-3031936005
      ISBN10:

      Description

      Book Synopsis

      .- 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.

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