Artificial Intelligence and Industry 4.0:
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego
Elsevier
[2022]
|
| Schriftenreihe: | Intelligent Data Centric Systems
|
| Online-Zugang: | FHD01 |
| Beschreibung: | 1 Online-Ressource (xiii, 247 Seiten) |
| ISBN: | 9780323906395 |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048833632 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230227s2022 |||| o||u| ||||||eng d | ||
| 020 | |a 9780323906395 |9 978-0-323-90639-5 | ||
| 035 | |a (OCoLC)1371322492 | ||
| 035 | |a (DE-599)BVBBV048833632 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1050 | ||
| 245 | 1 | 0 | |a Artificial Intelligence and Industry 4.0 |c edited by Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain |
| 264 | 1 | |a San Diego |b Elsevier |c [2022] | |
| 300 | |a 1 Online-Ressource (xiii, 247 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Intelligent Data Centric Systems | |
| 505 | 8 | |a Intro -- Artificial Intelligence and Industry 4.0 -- Copyright -- Contents -- Contributors -- Part 1: Artificial intelligence and Industry 4.0 with healthcare -- Chapter 1: Influence and implementation of Industry 4.0 in health care -- 1.1. Introduction -- 1.2. Industry 1.0 to 4.0 -- 1.3. Healthcare 1.0 to 4.0 -- 1.4. Literature review -- 1.5. Big data in health care -- 1.6. Internet of Things in the healthcare sector -- 1.7. Blockchain technology in the healthcare sector -- 1.8. Applications in healthcare 4.0 -- 1.8.1. Observing physiological and pathological signals | |
| 505 | 8 | |a 1.8.2. Self-management, wellness monitoring, and prevention -- 1.8.3. Smart pharmaceuticals and monitoring of medication intake -- 1.8.4. Personalized healthcare system -- 1.8.5. Cloud-based health information systems -- 1.8.6. Telepathology, telemedicine, and disease monitoring -- 1.8.7. Assisted living -- 1.8.8. Rehabilitation -- 1.9. Case studies -- 1.10. Conclusion -- 1.11. The recent innovations and research solutions of Industry 4.0 in healthcare sector -- References -- Chapter 2: Impact of artificial intelligence in the healthcare sector -- 2.1. Introduction -- 2.2. Literature review | |
| 505 | 8 | |a 2.2.1. AI in health care -- 2.2.2. Utilization of AI in health care in India -- 2.2.2.1. Hospitals -- 2.2.2.2. Pharmaceuticals -- 2.2.2.3. Diagnostics -- 2.2.2.4. Medical equipment and supplies -- 2.2.2.5. Health insurance -- 2.2.2.6. Telemedicine -- 2.3. Research framework and development of hypotheses -- 2.3.1. Technological perspective (TP) -- 2.3.1.1. Cost-effectiveness (CE) -- 2.3.1.2. Relative advantage (RA) -- 2.3.1.3. Security and privacy concerns (SPC) -- 2.3.1.4. Complexity (COMP) -- 2.3.2. Organizational perspective (OP) -- 2.3.2.1. HR readiness (HRR) | |
| 505 | 8 | |a 2.3.2.2. Top management support (TMS) -- 2.3.2.3. Organizational readiness (ORR) -- 2.3.3. Environmental perspective (EP) -- 2.3.3.1. Competitive pressure (CP) -- 2.3.3.2. Support from technology vendors (STV) -- 2.3.3.3. Environmental uncertainty (EU) -- 2.4. Research methodology -- 2.4.1. Demographics of the respondents -- 2.5. Data analysis -- 2.5.1. Reliability and validity -- 2.5.1.1. Cronbachs alpha -- 2.5.1.2. Composite reliability -- 2.5.2. Harman test -- 2.5.3. Exploratory factor analysis (EFA) -- 2.5.4. Construct validity (CV) -- 2.5.5. Structural equation modeling -- 2.6. Discussion | |
| 505 | 8 | |a 2.6.1. Technological perspective (TP) -- 2.6.2. Organizational perspectives (OP) -- 2.6.3. Environmental perspectives (EP) -- 2.7. Conclusion -- 2.8. Limitations and future scope of the study -- Appendix A. Measurement items -- Appendix B. Questionnaire -- References -- Part 2: Role of artificial intelligence in industry 4.0 -- Chapter 3: Embedded system for model characterization developing intelligent controllers in industry 4.0 -- 3.1. Introduction -- 3.2. Theoretical framework -- 3.2.1. Processing unit Raspberry PI -- 3.2.2. Analogic digital converter ADS1115 -- 3.2.3. Genetic algorithms | |
| 700 | 1 | |a Hassanien, Aboul Ella |d 1964- |0 (DE-588)135922631 |4 edt | |
| 700 | 1 | |a Chatterjee, Jyotir Moy |0 (DE-588)1176054384 |4 edt | |
| 700 | 1 | |a Jain, Vishal |d 1983- |0 (DE-588)1222050188 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-0-323-88468-6 |
| 912 | |a ZDB-30-PQE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034099178 | ||
| 966 | e | |u https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=7073874 |l FHD01 |p ZDB-30-PQE |q FHD01_PQE_Kauf |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804184937211887616 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Hassanien, Aboul Ella 1964- Chatterjee, Jyotir Moy Jain, Vishal 1983- |
| author2_role | edt edt edt |
| author2_variant | a e h ae aeh j m c jm jmc v j vj |
| author_GND | (DE-588)135922631 (DE-588)1176054384 (DE-588)1222050188 |
| author_facet | Hassanien, Aboul Ella 1964- Chatterjee, Jyotir Moy Jain, Vishal 1983- |
| building | Verbundindex |
| bvnumber | BV048833632 |
| collection | ZDB-30-PQE |
| contents | Intro -- Artificial Intelligence and Industry 4.0 -- Copyright -- Contents -- Contributors -- Part 1: Artificial intelligence and Industry 4.0 with healthcare -- Chapter 1: Influence and implementation of Industry 4.0 in health care -- 1.1. Introduction -- 1.2. Industry 1.0 to 4.0 -- 1.3. Healthcare 1.0 to 4.0 -- 1.4. Literature review -- 1.5. Big data in health care -- 1.6. Internet of Things in the healthcare sector -- 1.7. Blockchain technology in the healthcare sector -- 1.8. Applications in healthcare 4.0 -- 1.8.1. Observing physiological and pathological signals 1.8.2. Self-management, wellness monitoring, and prevention -- 1.8.3. Smart pharmaceuticals and monitoring of medication intake -- 1.8.4. Personalized healthcare system -- 1.8.5. Cloud-based health information systems -- 1.8.6. Telepathology, telemedicine, and disease monitoring -- 1.8.7. Assisted living -- 1.8.8. Rehabilitation -- 1.9. Case studies -- 1.10. Conclusion -- 1.11. The recent innovations and research solutions of Industry 4.0 in healthcare sector -- References -- Chapter 2: Impact of artificial intelligence in the healthcare sector -- 2.1. Introduction -- 2.2. Literature review 2.2.1. AI in health care -- 2.2.2. Utilization of AI in health care in India -- 2.2.2.1. Hospitals -- 2.2.2.2. Pharmaceuticals -- 2.2.2.3. Diagnostics -- 2.2.2.4. Medical equipment and supplies -- 2.2.2.5. Health insurance -- 2.2.2.6. Telemedicine -- 2.3. Research framework and development of hypotheses -- 2.3.1. Technological perspective (TP) -- 2.3.1.1. Cost-effectiveness (CE) -- 2.3.1.2. Relative advantage (RA) -- 2.3.1.3. Security and privacy concerns (SPC) -- 2.3.1.4. Complexity (COMP) -- 2.3.2. Organizational perspective (OP) -- 2.3.2.1. HR readiness (HRR) 2.3.2.2. Top management support (TMS) -- 2.3.2.3. Organizational readiness (ORR) -- 2.3.3. Environmental perspective (EP) -- 2.3.3.1. Competitive pressure (CP) -- 2.3.3.2. Support from technology vendors (STV) -- 2.3.3.3. Environmental uncertainty (EU) -- 2.4. Research methodology -- 2.4.1. Demographics of the respondents -- 2.5. Data analysis -- 2.5.1. Reliability and validity -- 2.5.1.1. Cronbachs alpha -- 2.5.1.2. Composite reliability -- 2.5.2. Harman test -- 2.5.3. Exploratory factor analysis (EFA) -- 2.5.4. Construct validity (CV) -- 2.5.5. Structural equation modeling -- 2.6. Discussion 2.6.1. Technological perspective (TP) -- 2.6.2. Organizational perspectives (OP) -- 2.6.3. Environmental perspectives (EP) -- 2.7. Conclusion -- 2.8. Limitations and future scope of the study -- Appendix A. Measurement items -- Appendix B. Questionnaire -- References -- Part 2: Role of artificial intelligence in industry 4.0 -- Chapter 3: Embedded system for model characterization developing intelligent controllers in industry 4.0 -- 3.1. Introduction -- 3.2. Theoretical framework -- 3.2.1. Processing unit Raspberry PI -- 3.2.2. Analogic digital converter ADS1115 -- 3.2.3. Genetic algorithms |
| ctrlnum | (OCoLC)1371322492 (DE-599)BVBBV048833632 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04258nmm a2200385 c 4500</leader><controlfield tag="001">BV048833632</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230227s2022 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780323906395</subfield><subfield code="9">978-0-323-90639-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1371322492</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048833632</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1050</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Artificial Intelligence and Industry 4.0</subfield><subfield code="c">edited by Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">San Diego</subfield><subfield code="b">Elsevier</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 247 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Intelligent Data Centric Systems</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Intro -- Artificial Intelligence and Industry 4.0 -- Copyright -- Contents -- Contributors -- Part 1: Artificial intelligence and Industry 4.0 with healthcare -- Chapter 1: Influence and implementation of Industry 4.0 in health care -- 1.1. Introduction -- 1.2. Industry 1.0 to 4.0 -- 1.3. Healthcare 1.0 to 4.0 -- 1.4. Literature review -- 1.5. Big data in health care -- 1.6. Internet of Things in the healthcare sector -- 1.7. Blockchain technology in the healthcare sector -- 1.8. Applications in healthcare 4.0 -- 1.8.1. Observing physiological and pathological signals</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">1.8.2. Self-management, wellness monitoring, and prevention -- 1.8.3. Smart pharmaceuticals and monitoring of medication intake -- 1.8.4. Personalized healthcare system -- 1.8.5. Cloud-based health information systems -- 1.8.6. Telepathology, telemedicine, and disease monitoring -- 1.8.7. Assisted living -- 1.8.8. Rehabilitation -- 1.9. Case studies -- 1.10. Conclusion -- 1.11. The recent innovations and research solutions of Industry 4.0 in healthcare sector -- References -- Chapter 2: Impact of artificial intelligence in the healthcare sector -- 2.1. Introduction -- 2.2. Literature review</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.2.1. AI in health care -- 2.2.2. Utilization of AI in health care in India -- 2.2.2.1. Hospitals -- 2.2.2.2. Pharmaceuticals -- 2.2.2.3. Diagnostics -- 2.2.2.4. Medical equipment and supplies -- 2.2.2.5. Health insurance -- 2.2.2.6. Telemedicine -- 2.3. Research framework and development of hypotheses -- 2.3.1. Technological perspective (TP) -- 2.3.1.1. Cost-effectiveness (CE) -- 2.3.1.2. Relative advantage (RA) -- 2.3.1.3. Security and privacy concerns (SPC) -- 2.3.1.4. Complexity (COMP) -- 2.3.2. Organizational perspective (OP) -- 2.3.2.1. HR readiness (HRR)</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.3.2.2. Top management support (TMS) -- 2.3.2.3. Organizational readiness (ORR) -- 2.3.3. Environmental perspective (EP) -- 2.3.3.1. Competitive pressure (CP) -- 2.3.3.2. Support from technology vendors (STV) -- 2.3.3.3. Environmental uncertainty (EU) -- 2.4. Research methodology -- 2.4.1. Demographics of the respondents -- 2.5. Data analysis -- 2.5.1. Reliability and validity -- 2.5.1.1. Cronbachs alpha -- 2.5.1.2. Composite reliability -- 2.5.2. Harman test -- 2.5.3. Exploratory factor analysis (EFA) -- 2.5.4. Construct validity (CV) -- 2.5.5. Structural equation modeling -- 2.6. Discussion</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.6.1. Technological perspective (TP) -- 2.6.2. Organizational perspectives (OP) -- 2.6.3. Environmental perspectives (EP) -- 2.7. Conclusion -- 2.8. Limitations and future scope of the study -- Appendix A. Measurement items -- Appendix B. Questionnaire -- References -- Part 2: Role of artificial intelligence in industry 4.0 -- Chapter 3: Embedded system for model characterization developing intelligent controllers in industry 4.0 -- 3.1. Introduction -- 3.2. Theoretical framework -- 3.2.1. Processing unit Raspberry PI -- 3.2.2. Analogic digital converter ADS1115 -- 3.2.3. Genetic algorithms</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hassanien, Aboul Ella</subfield><subfield code="d">1964-</subfield><subfield code="0">(DE-588)135922631</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chatterjee, Jyotir Moy</subfield><subfield code="0">(DE-588)1176054384</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jain, Vishal</subfield><subfield code="d">1983-</subfield><subfield code="0">(DE-588)1222050188</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-0-323-88468-6</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034099178</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=7073874</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FHD01_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048833632 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:35:52Z |
| indexdate | 2024-07-10T09:47:16Z |
| institution | BVB |
| isbn | 9780323906395 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034099178 |
| oclc_num | 1371322492 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (xiii, 247 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| record_format | marc |
| series2 | Intelligent Data Centric Systems |
| spelling | Artificial Intelligence and Industry 4.0 edited by Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain San Diego Elsevier [2022] 1 Online-Ressource (xiii, 247 Seiten) txt rdacontent c rdamedia cr rdacarrier Intelligent Data Centric Systems Intro -- Artificial Intelligence and Industry 4.0 -- Copyright -- Contents -- Contributors -- Part 1: Artificial intelligence and Industry 4.0 with healthcare -- Chapter 1: Influence and implementation of Industry 4.0 in health care -- 1.1. Introduction -- 1.2. Industry 1.0 to 4.0 -- 1.3. Healthcare 1.0 to 4.0 -- 1.4. Literature review -- 1.5. Big data in health care -- 1.6. Internet of Things in the healthcare sector -- 1.7. Blockchain technology in the healthcare sector -- 1.8. Applications in healthcare 4.0 -- 1.8.1. Observing physiological and pathological signals 1.8.2. Self-management, wellness monitoring, and prevention -- 1.8.3. Smart pharmaceuticals and monitoring of medication intake -- 1.8.4. Personalized healthcare system -- 1.8.5. Cloud-based health information systems -- 1.8.6. Telepathology, telemedicine, and disease monitoring -- 1.8.7. Assisted living -- 1.8.8. Rehabilitation -- 1.9. Case studies -- 1.10. Conclusion -- 1.11. The recent innovations and research solutions of Industry 4.0 in healthcare sector -- References -- Chapter 2: Impact of artificial intelligence in the healthcare sector -- 2.1. Introduction -- 2.2. Literature review 2.2.1. AI in health care -- 2.2.2. Utilization of AI in health care in India -- 2.2.2.1. Hospitals -- 2.2.2.2. Pharmaceuticals -- 2.2.2.3. Diagnostics -- 2.2.2.4. Medical equipment and supplies -- 2.2.2.5. Health insurance -- 2.2.2.6. Telemedicine -- 2.3. Research framework and development of hypotheses -- 2.3.1. Technological perspective (TP) -- 2.3.1.1. Cost-effectiveness (CE) -- 2.3.1.2. Relative advantage (RA) -- 2.3.1.3. Security and privacy concerns (SPC) -- 2.3.1.4. Complexity (COMP) -- 2.3.2. Organizational perspective (OP) -- 2.3.2.1. HR readiness (HRR) 2.3.2.2. Top management support (TMS) -- 2.3.2.3. Organizational readiness (ORR) -- 2.3.3. Environmental perspective (EP) -- 2.3.3.1. Competitive pressure (CP) -- 2.3.3.2. Support from technology vendors (STV) -- 2.3.3.3. Environmental uncertainty (EU) -- 2.4. Research methodology -- 2.4.1. Demographics of the respondents -- 2.5. Data analysis -- 2.5.1. Reliability and validity -- 2.5.1.1. Cronbachs alpha -- 2.5.1.2. Composite reliability -- 2.5.2. Harman test -- 2.5.3. Exploratory factor analysis (EFA) -- 2.5.4. Construct validity (CV) -- 2.5.5. Structural equation modeling -- 2.6. Discussion 2.6.1. Technological perspective (TP) -- 2.6.2. Organizational perspectives (OP) -- 2.6.3. Environmental perspectives (EP) -- 2.7. Conclusion -- 2.8. Limitations and future scope of the study -- Appendix A. Measurement items -- Appendix B. Questionnaire -- References -- Part 2: Role of artificial intelligence in industry 4.0 -- Chapter 3: Embedded system for model characterization developing intelligent controllers in industry 4.0 -- 3.1. Introduction -- 3.2. Theoretical framework -- 3.2.1. Processing unit Raspberry PI -- 3.2.2. Analogic digital converter ADS1115 -- 3.2.3. Genetic algorithms Hassanien, Aboul Ella 1964- (DE-588)135922631 edt Chatterjee, Jyotir Moy (DE-588)1176054384 edt Jain, Vishal 1983- (DE-588)1222050188 edt Erscheint auch als Druck-Ausgabe 978-0-323-88468-6 |
| spellingShingle | Artificial Intelligence and Industry 4.0 Intro -- Artificial Intelligence and Industry 4.0 -- Copyright -- Contents -- Contributors -- Part 1: Artificial intelligence and Industry 4.0 with healthcare -- Chapter 1: Influence and implementation of Industry 4.0 in health care -- 1.1. Introduction -- 1.2. Industry 1.0 to 4.0 -- 1.3. Healthcare 1.0 to 4.0 -- 1.4. Literature review -- 1.5. Big data in health care -- 1.6. Internet of Things in the healthcare sector -- 1.7. Blockchain technology in the healthcare sector -- 1.8. Applications in healthcare 4.0 -- 1.8.1. Observing physiological and pathological signals 1.8.2. Self-management, wellness monitoring, and prevention -- 1.8.3. Smart pharmaceuticals and monitoring of medication intake -- 1.8.4. Personalized healthcare system -- 1.8.5. Cloud-based health information systems -- 1.8.6. Telepathology, telemedicine, and disease monitoring -- 1.8.7. Assisted living -- 1.8.8. Rehabilitation -- 1.9. Case studies -- 1.10. Conclusion -- 1.11. The recent innovations and research solutions of Industry 4.0 in healthcare sector -- References -- Chapter 2: Impact of artificial intelligence in the healthcare sector -- 2.1. Introduction -- 2.2. Literature review 2.2.1. AI in health care -- 2.2.2. Utilization of AI in health care in India -- 2.2.2.1. Hospitals -- 2.2.2.2. Pharmaceuticals -- 2.2.2.3. Diagnostics -- 2.2.2.4. Medical equipment and supplies -- 2.2.2.5. Health insurance -- 2.2.2.6. Telemedicine -- 2.3. Research framework and development of hypotheses -- 2.3.1. Technological perspective (TP) -- 2.3.1.1. Cost-effectiveness (CE) -- 2.3.1.2. Relative advantage (RA) -- 2.3.1.3. Security and privacy concerns (SPC) -- 2.3.1.4. Complexity (COMP) -- 2.3.2. Organizational perspective (OP) -- 2.3.2.1. HR readiness (HRR) 2.3.2.2. Top management support (TMS) -- 2.3.2.3. Organizational readiness (ORR) -- 2.3.3. Environmental perspective (EP) -- 2.3.3.1. Competitive pressure (CP) -- 2.3.3.2. Support from technology vendors (STV) -- 2.3.3.3. Environmental uncertainty (EU) -- 2.4. Research methodology -- 2.4.1. Demographics of the respondents -- 2.5. Data analysis -- 2.5.1. Reliability and validity -- 2.5.1.1. Cronbachs alpha -- 2.5.1.2. Composite reliability -- 2.5.2. Harman test -- 2.5.3. Exploratory factor analysis (EFA) -- 2.5.4. Construct validity (CV) -- 2.5.5. Structural equation modeling -- 2.6. Discussion 2.6.1. Technological perspective (TP) -- 2.6.2. Organizational perspectives (OP) -- 2.6.3. Environmental perspectives (EP) -- 2.7. Conclusion -- 2.8. Limitations and future scope of the study -- Appendix A. Measurement items -- Appendix B. Questionnaire -- References -- Part 2: Role of artificial intelligence in industry 4.0 -- Chapter 3: Embedded system for model characterization developing intelligent controllers in industry 4.0 -- 3.1. Introduction -- 3.2. Theoretical framework -- 3.2.1. Processing unit Raspberry PI -- 3.2.2. Analogic digital converter ADS1115 -- 3.2.3. Genetic algorithms |
| title | Artificial Intelligence and Industry 4.0 |
| title_auth | Artificial Intelligence and Industry 4.0 |
| title_exact_search | Artificial Intelligence and Industry 4.0 |
| title_exact_search_txtP | Artificial Intelligence and Industry 4.0 |
| title_full | Artificial Intelligence and Industry 4.0 edited by Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain |
| title_fullStr | Artificial Intelligence and Industry 4.0 edited by Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain |
| title_full_unstemmed | Artificial Intelligence and Industry 4.0 edited by Aboul Ella Hassanien, Jyotir Moy Chatterjee, Vishal Jain |
| title_short | Artificial Intelligence and Industry 4.0 |
| title_sort | artificial intelligence and industry 4 0 |
| work_keys_str_mv | AT hassanienaboulella artificialintelligenceandindustry40 AT chatterjeejyotirmoy artificialintelligenceandindustry40 AT jainvishal artificialintelligenceandindustry40 |