Science, Engineering Management and Information Technology : Second International Conference, SEMIT 2023, Ankara, Turkey, September 14-15, 2023, Proceedings, Part-II (Communications in Computer and Information Science) / Mirzazadeh, A. (EDT)/ Molamohamadi, Zohreh (EDT)/ Erdebilli, Babek (EDT)

Science, Engineering Management and Information Technology : Second International Conference, SEMIT 2023, Ankara, Turkey, September 14-15, 2023, Proceedings, Part-II (Communications in Computer and Information Science) （2024）

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Science, Engineering Management and Information Technology : Second International Conference, SEMIT 2023, Ankara, Turkey, September 14-15, 2023, Proceedings, Part-II (Communications in Computer and Information Science) （2024）

Mirzazadeh, A. (EDT)/ Molamohamadi, Zohreh (EDT)/ Erdebilli, Babek (EDT)

ウェブストア価格 ¥17,351（本体¥15,774）
Springer International Publishing AG（2024/09発売）
外貨定価 US$ 84.99
ポイント 157pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 320 p.
商品コード 9783031722868

Full Description

This two-volume set constitutes selected papers presented during the Second International Conference on Science, Engineering Management and Information Technology, SEMIT 2023, held in Ankara, Turkey, during September 14-15, 2023.

The 44 full papers and 2 short papers presented were carefully reviewed and selected from 409 submissions. The papers cover the following topics:

Part I - Decision Analysis and Expert Systems; Machine Learning, Data Analysis and Computer Vision in Healthcare and Medicine; Smart Production, Transportation and Supply Chain Systems; Information Technology and Data Science in Industry.

Part II - IoT, Blockchain, and Cyber Security in Complex Systems; Real-Time Data Analysis and Simulation in Engineering Systems; Digitalization and Artificial Intelligence in Manufacturing/ Service Industries; Soft Computing and Artificial Intelligence in Engineering Management and Marketing.

.- IoT, Blockchain, and Cyber Security in Complex Systems.

.- A Conceptual Framework for the Development of Data Acquisition and Integration System for the Dairy Industry.

.- Mathematical Modeling for Exploring the Spread of Cyberattacks through IoT Devices.

.- Review of Intrusion Detection Systems for Supervisor Control and Data Acquisition: A Machine Learning Approach.

.- The Impact of Internet of Things, Blockchain, and Artificial Intelligence on Occupational Health and Safety.

.- Real-Time Data Analysis and Simulation in Engineering Systems.

.- Development of UAVs on Pixhawk family controllers with radio interference protection system.

.- Enhancement Optical Fiber Data Rate by Using 8 port Dense Wide Division Multiplexing OF 256- Quadrature Amplitude Modulation (QAM) and Orthogonal Frequency Division Multiplexing (OFDM) Dual Polarization Technique.

.- Uncertainty Quantification Code Written in MATLAB.

.- An Artificial Intelligence-Enhanced UAV Configuration for Object Detection, Instant Communication, and Real-Time Information Transmission.

.- Digitalization and Artificial Intelligence in Manufacturing/ Service Industries.

.- Energy Consumption Forecasting using Time Series Analysis Methods.

.- An Investigation on the Possibility of Retrofitting 3D Printers from Local Scrap E-Waste in Nigeria.

.- A Reinforcement Learning-Based Fault Tolerant Control Design Approach using the Double Q-Learning Algorithm.

.- Machine Learning in Fault Diagnosis of Electromechanical Devices using Vibration Measurements.

.- Detection of Shilling Attack with Support Vector Machines Using Oversampling.

.- Contribution Classification Methods for Fake News using Machine Learning.

.- Soft Computing and Artificial Intelligence in Engineering Management and Marketing.

.- Omnichannel Strategy Adoption Issues in an eCommerce Company: A SAP LAP Analysis.

.- Enhancing Repurchase Intentions of Online Music Platform Customers for the Middle East.

.- Consumer Confidence on State Regulation of e-commerce in India.

.- Cultivating Synergistic Global Leadership: Unifying Scientific Acumen for Effective Global Problem Solving.

.- Synergizing Global Leadership Competencies with Artificial Intelligence and Expert Systems: A Multidisciplinary Approach for the Future of Management.