eBook
Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0
| Title: | Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 |
|---|---|
| Description: | Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems. |
| Authors: | Joseph Bamidele Awotunde, Kamalakanta Muduli, Biswajit Brahma |
| Resource Type: | eBook. |
| Subjects: | Manufacturing processes--Data processing, Computational intelligence, Industry 5.0, Industry 4.0 |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Internet of Things (IoT) |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 4092659 RelevancyScore: 981 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 981.043701171875 |
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| Items | – Name: Title Label: Title Group: Ti Data: Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 – Name: Abstract Label: Description Group: Ab Data: Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Joseph+Bamidele+Awotunde%22">Joseph Bamidele Awotunde</searchLink><br /><searchLink fieldCode="AR" term="%22Kamalakanta+Muduli%22">Kamalakanta Muduli</searchLink><br /><searchLink fieldCode="AR" term="%22Biswajit+Brahma%22">Biswajit Brahma</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Manufacturing+processes--Data+processing%22">Manufacturing processes--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+intelligence%22">Computational intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+5%2E0%22">Industry 5.0</searchLink><br /><searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Internet+of+Things+%28IoT%29%22">COMPUTERS / Internet of Things (IoT)</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4092659 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.3 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Manufacturing processes--Data processing Type: general – SubjectFull: Computational intelligence Type: general – SubjectFull: Industry 5.0 Type: general – SubjectFull: Industry 4.0 Type: general Titles: – TitleFull: Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Joseph Bamidele Awotunde – PersonEntity: Name: NameFull: Kamalakanta Muduli – PersonEntity: Name: NameFull: Biswajit Brahma – PersonEntity: Name: NameFull: Joseph Bamidele Awotunde – PersonEntity: Name: NameFull: Kamalakanta Muduli – PersonEntity: Name: NameFull: Biswajit Brahma IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 – D: 23 M: 05 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9781032869230 – Type: isbn-electronic Value: 9781040348093 – Type: isbn-electronic Value: 9781040348116 Titles: – TitleFull: Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 Type: main |
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