Industry applications of thrust manufacturing:
"In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively...
Saved in:
Other Authors: | , |
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Format: | Electronic eBook |
Language: | English |
Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
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Subjects: | |
Online Access: | DE-862 DE-863 |
Summary: | "In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability.Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth."-- |
Physical Description: | 20 PDFs (353 Seiten) Also available in print. |
Format: | Mode of access: World Wide Web. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9798369342770 |
Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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245 | 0 | 0 | |a Industry applications of thrust manufacturing |c D. Satishkumar, M. Sivaraja, editor. |
264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
300 | |a 20 PDFs (353 Seiten) | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Chapter 1. Real-time event detection and predictive analytics using IoT and deep learning -- Chapter 2. The transformation of manufacturing by artificial intelligence -- Chapter 3. Revolutionizing trust manufacturing integrating real-time data and AI innovations for enhanced efficiency -- Chapter 4. The future of artificial intelligence in manufacturing industries -- Chapter 5. Integrating the industrial revolution 5.0 with AI: a paradigm shift in manufacturing and beyond -- Chapter 6. Analysis of real-time data using AI: future sales prediction -- Chapter 7. A comprehensive analysis of predicting future sale and forecasting using random forest regression -- Chapter 8. Artificial intelligence's impact on thrust manufacturing with innovations and advancements in aerospace -- Chapter 9. AI-based cameras to detect a leak of chemicals or gas in real time -- Chapter 10. Comparison of machine learning techniques of damage detection in pipes using image classification -- Chapter 11. Robust and real-time detection of underwater sonar image representations by using fast transferred design learning method -- Chapter 12. Efficient detection of QR code image-based attacks in industries through lightweight deep learning models and monarch butterfly optimization algorithm. | |
506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
520 | 3 | |a "In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability.Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth."-- |c Provided by publisher. | |
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
588 | |a Description based on title screen (IGI Global, viewed 03/08/2024). | ||
650 | 0 | |a Artificial intelligence. | |
650 | 0 | |a Manufacturing industries |x Technological innovations. | |
653 | |a AI Technology in Daily Operations. | ||
653 | |a AI Technology. | ||
653 | |a AI-Based Cameras. | ||
653 | |a AI-Enabled Robotics. | ||
653 | |a AI-Powered Tools. | ||
653 | |a Artificial Intelligence. | ||
653 | |a Future of Artificial Intelligence. | ||
653 | |a Industrial Revolution. | ||
653 | |a Manufacturing Industry Applications. | ||
653 | |a Manufacturing Sub-Sector Applications. | ||
653 | |a Real-Time Monitoring Applications. | ||
653 | |a System Conditions Predictions. | ||
653 | |a Transformation of Manufacturing. | ||
655 | 4 | |a Electronic books. | |
700 | 1 | |a Satishkumar, D. |e editor. | |
700 | 1 | |a Sivaraja, M. |e editor. | |
710 | 2 | |a IGI Global, |e publisher. | |
776 | 0 | 8 | |i Print version: |z 9798369342763 |
966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4276-3 |3 Volltext |
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912 | |a ZDB-98-IGB | ||
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Record in the Search Index
DE-BY-FWS_katkey | ZDB-98-IGB-00338395 |
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adam_text | |
any_adam_object | |
author2 | Satishkumar, D. Sivaraja, M. |
author2_role | edt edt |
author2_variant | d s ds m s ms |
author_facet | Satishkumar, D. Sivaraja, M. |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | H - Social Science |
callnumber-label | HD45 |
callnumber-raw | HD45 .I53 2024e |
callnumber-search | HD45 .I53 2024e |
callnumber-sort | HD 245 I53 42024E |
callnumber-subject | HD - Industries, Land Use, Labor |
collection | ZDB-98-IGB |
contents | Chapter 1. Real-time event detection and predictive analytics using IoT and deep learning -- Chapter 2. The transformation of manufacturing by artificial intelligence -- Chapter 3. Revolutionizing trust manufacturing integrating real-time data and AI innovations for enhanced efficiency -- Chapter 4. The future of artificial intelligence in manufacturing industries -- Chapter 5. Integrating the industrial revolution 5.0 with AI: a paradigm shift in manufacturing and beyond -- Chapter 6. Analysis of real-time data using AI: future sales prediction -- Chapter 7. A comprehensive analysis of predicting future sale and forecasting using random forest regression -- Chapter 8. Artificial intelligence's impact on thrust manufacturing with innovations and advancements in aerospace -- Chapter 9. AI-based cameras to detect a leak of chemicals or gas in real time -- Chapter 10. Comparison of machine learning techniques of damage detection in pipes using image classification -- Chapter 11. Robust and real-time detection of underwater sonar image representations by using fast transferred design learning method -- Chapter 12. Efficient detection of QR code image-based attacks in industries through lightweight deep learning models and monarch butterfly optimization algorithm. |
ctrlnum | (CaBNVSL)slc00005672 (OCoLC)1425976622 |
dewey-full | 658.4063 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.4063 |
dewey-search | 658.4063 |
dewey-sort | 3658.4063 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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genre | Electronic books. |
genre_facet | Electronic books. |
id | ZDB-98-IGB-00338395 |
illustrated | Not Illustrated |
indexdate | 2025-03-18T14:30:38Z |
institution | BVB |
isbn | 9798369342770 |
language | English |
oclc_num | 1425976622 |
open_access_boolean | |
owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
physical | 20 PDFs (353 Seiten) Also available in print. |
psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | IGI Global |
record_format | marc |
spelling | Industry applications of thrust manufacturing D. Satishkumar, M. Sivaraja, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 20 PDFs (353 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Real-time event detection and predictive analytics using IoT and deep learning -- Chapter 2. The transformation of manufacturing by artificial intelligence -- Chapter 3. Revolutionizing trust manufacturing integrating real-time data and AI innovations for enhanced efficiency -- Chapter 4. The future of artificial intelligence in manufacturing industries -- Chapter 5. Integrating the industrial revolution 5.0 with AI: a paradigm shift in manufacturing and beyond -- Chapter 6. Analysis of real-time data using AI: future sales prediction -- Chapter 7. A comprehensive analysis of predicting future sale and forecasting using random forest regression -- Chapter 8. Artificial intelligence's impact on thrust manufacturing with innovations and advancements in aerospace -- Chapter 9. AI-based cameras to detect a leak of chemicals or gas in real time -- Chapter 10. Comparison of machine learning techniques of damage detection in pipes using image classification -- Chapter 11. Robust and real-time detection of underwater sonar image representations by using fast transferred design learning method -- Chapter 12. Efficient detection of QR code image-based attacks in industries through lightweight deep learning models and monarch butterfly optimization algorithm. Restricted to subscribers or individual electronic text purchasers. "In manufacturing, entrenched challenges like costly maintenance, operational inefficiencies, and product defects loom large, casting shadows over industry progress. Despite the promise of Industry 4.0 and the proliferation of data-driven technologies, many enterprises need help to effectively harness the transformative power of artificial intelligence (AI). The gap between AI's potential and its practical application persists, hindering manufacturing companies from achieving optimal efficiency, competitiveness, and sustainability.Industry Applications of Thrust Manufacturing: Convergence with Real-Time Data and AI is a groundbreaking book meticulously crafted to address the pressing needs of academic scholars and industry professionals. Offering a nuanced exploration of AI's role in revolutionizing manufacturing, this book serves as a beacon of clarity amidst the complexities of modern industrial landscapes. Whether seeking to optimize operational workflows, mitigate risks, or unlock untapped opportunities, this definitive guide offers invaluable insights and actionable strategies to propel manufacturing enterprises into a future of innovation, efficiency, and sustainable growth."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/08/2024). Artificial intelligence. Manufacturing industries Technological innovations. AI Technology in Daily Operations. AI Technology. AI-Based Cameras. AI-Enabled Robotics. AI-Powered Tools. Artificial Intelligence. Future of Artificial Intelligence. Industrial Revolution. Manufacturing Industry Applications. Manufacturing Sub-Sector Applications. Real-Time Monitoring Applications. System Conditions Predictions. Transformation of Manufacturing. Electronic books. Satishkumar, D. editor. Sivaraja, M. editor. IGI Global, publisher. Print version: 9798369342763 |
spellingShingle | Industry applications of thrust manufacturing Chapter 1. Real-time event detection and predictive analytics using IoT and deep learning -- Chapter 2. The transformation of manufacturing by artificial intelligence -- Chapter 3. Revolutionizing trust manufacturing integrating real-time data and AI innovations for enhanced efficiency -- Chapter 4. The future of artificial intelligence in manufacturing industries -- Chapter 5. Integrating the industrial revolution 5.0 with AI: a paradigm shift in manufacturing and beyond -- Chapter 6. Analysis of real-time data using AI: future sales prediction -- Chapter 7. A comprehensive analysis of predicting future sale and forecasting using random forest regression -- Chapter 8. Artificial intelligence's impact on thrust manufacturing with innovations and advancements in aerospace -- Chapter 9. AI-based cameras to detect a leak of chemicals or gas in real time -- Chapter 10. Comparison of machine learning techniques of damage detection in pipes using image classification -- Chapter 11. Robust and real-time detection of underwater sonar image representations by using fast transferred design learning method -- Chapter 12. Efficient detection of QR code image-based attacks in industries through lightweight deep learning models and monarch butterfly optimization algorithm. Artificial intelligence. Manufacturing industries Technological innovations. |
title | Industry applications of thrust manufacturing |
title_auth | Industry applications of thrust manufacturing |
title_exact_search | Industry applications of thrust manufacturing |
title_full | Industry applications of thrust manufacturing D. Satishkumar, M. Sivaraja, editor. |
title_fullStr | Industry applications of thrust manufacturing D. Satishkumar, M. Sivaraja, editor. |
title_full_unstemmed | Industry applications of thrust manufacturing D. Satishkumar, M. Sivaraja, editor. |
title_short | Industry applications of thrust manufacturing |
title_sort | industry applications of thrust manufacturing |
topic | Artificial intelligence. Manufacturing industries Technological innovations. |
topic_facet | Artificial intelligence. Manufacturing industries Technological innovations. Electronic books. |
work_keys_str_mv | AT satishkumard industryapplicationsofthrustmanufacturing AT sivarajam industryapplicationsofthrustmanufacturing AT igiglobal industryapplicationsofthrustmanufacturing |