Integration of AI-based manufacturing and industrial engineering systems with the Internet of Things
Challenges, opportunities, and the future of industrial engineering with IoT and AI / Pankaj Bhambri and Sita Rani -- Evolution and future of industrial engineering with IOT and AI / Rachna Rana, Pankaj Bhambri and Yogesh Chhabra -- Applications of artificial intelligence and internet of things IoT...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press, Taylor & Francis Group
2024
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| Ausgabe: | First edition |
| Schriftenreihe: | Intelligent manufacturing and industrial engineering
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| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | Challenges, opportunities, and the future of industrial engineering with IoT and AI / Pankaj Bhambri and Sita Rani -- Evolution and future of industrial engineering with IOT and AI / Rachna Rana, Pankaj Bhambri and Yogesh Chhabra -- Applications of artificial intelligence and internet of things IoT in marketing / Lakshmi, M. Dharmananda and B S Harisha -- An introduction to multi-objective decision programming with fuzzy parameters / Zahid Amin Malik -- Data analytics / Saaema Akhtar -- Recent advances on deep learning based thermal infrared object tracking in videos: a survey / Aayushi Gautam, Santosh Kumar and Swaran Singh -- Heuristics to secure IoT-based edge driven UAV / Hemant Kumar Saini and Kusumlata Jain -- Phased.js: automated software deployment & resource provisioning and management for AI / Ushashree P, Archana Naik, Anurag Verma and Anshuman Priyadarshini -- Robust image enhancement technique to automatically enrich the visibility of satellite captured snaps / Dileep M R, Navaneeth A V, Vidyadevi G Biradar and Madhwaraj Kango Gopal -- Implementation of FIR filter and creation of custom IP blocks / Gampa Nikhitha, Pusa Vineela, Polishetty Gayatri and Dharmavaram Asha Devi -- Use cases of blockchain in post-Covid healthcare / Charu Krishna, Divya Kumar and Dharmender Singh Kushwaha -- A prediction of telecom customer churn analysis uses the I-GBDT algorithm / P Geetha, R K Kapila Vani, S Lakshmi Gayathri and S Keerthana Sri -- Deployment of machine learning and deep learning algorithms in industrial engineering / Hutashan Vishal Bhagat and Manminder Singh -- Simulation analysis of AODV and DSDV routing protocols for secure and reliable service in mobile adhoc networks (MANETs) / Gurjeet Singh and Pankaj Bhambri -- Landmine detection and classification based on machine learning algorithms / T. Kalaichelvi and S. Ravi -- Application of queuing technique in an educational institute canteen- a case study / Jagdeep Singh and Prem Singh -- IoT based driver drowsiness detection and alerting system using haar cascade and eye aspect ratio algorithms / R. Sathya, D. Sai Surya Harsha, G. Pavan Sundar Reddy and M. Gopala Krishna -- Force/position control of constrained reconfigurable manipulators using hybrid backstepping neural networks based control approach / Manju Rani and Naveen Kumar. "Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and machine learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies"-- |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xv, 280 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032466019 978-1-032-46601-9 9781032468310 978-1-032-46831-0 |