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...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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."-- |
| Beschreibung: | 20 PDFs (353 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369342770 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00338395 | ||
| 003 | IGIG | ||
| 005 | 20240308134413.0 | ||
| 006 | m eo d | ||
| 007 | cr bn||||m|||a | ||
| 008 | 240308s2024 pau fob 001 0 eng d | ||
| 020 | |a 9798369342770 |q PDF | ||
| 020 | |z 9798369342763 |q print | ||
| 024 | 7 | |a 10.4018/979-8-3693-4276-3 |2 doi | |
| 035 | |a (CaBNVSL)slc00005672 | ||
| 035 | |a (OCoLC)1425976622 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a HD45 |b .I53 2024e | |
| 082 | 7 | |a 658.4063 |2 23 | |
| 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 pages) | ||
| 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. | |
| 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 |
| 856 | 4 | 0 | |l FWS01 |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 |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00338395 |
|---|---|
| _version_ | 1816797088179027968 |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04151nam a2200445 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00338395</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20240308134413.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn||||m|||a</controlfield><controlfield tag="008">240308s2024 pau fob 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369342770</subfield><subfield code="q">PDF</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369342763</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-4276-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00005672</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1425976622</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HD45</subfield><subfield code="b">.I53 2024e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">658.4063</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Industry applications of thrust manufacturing </subfield><subfield code="c">D. Satishkumar, M. Sivaraja, editor.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :</subfield><subfield code="b">IGI Global,</subfield><subfield code="c">2024.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">20 PDFs (353 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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."--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 03/08/2024).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Manufacturing industries</subfield><subfield code="x">Technological innovations.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Satishkumar, D.,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sivaraja, M.,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">9798369342763</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4276-3</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00338395 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369342770 |
| language | English |
| oclc_num | 1425976622 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 20 PDFs (353 pages) Also available in print. |
| psigel | 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 pages) 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. Electronic books. Satishkumar, D., editor. Sivaraja, M., editor. IGI Global, publisher. Print version: 9798369342763 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4276-3 Volltext |
| 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. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4276-3 |
| work_keys_str_mv | AT satishkumard industryapplicationsofthrustmanufacturing AT sivarajam industryapplicationsofthrustmanufacturing AT igiglobal industryapplicationsofthrustmanufacturing |