Intelligent Computing and Optimization for Sustainable Development
Proposal review
dc.contributor.editor | Grover, Veena | |
dc.contributor.editor | Dhanaraj, Rajesh Kumar | |
dc.contributor.editor | Balusamy, Balamurugan | |
dc.contributor.editor | Rathinam, Gopal | |
dc.date.accessioned | 2025-03-10T10:57:15Z | |
dc.date.available | 2025-03-10T10:57:15Z | |
dc.date.issued | 2025 | |
dc.identifier | ONIX_20250310_9781040159897_7 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/99313 | |
dc.description.abstract | This book presents insights into how Intelligent Computing and Optimization techniques can be used to attain the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimization techniques across various industries, including business process management, manufacturing, financial sector, agriculture, financial sector, supply chain management, and healthcare. It focuses on computational intelligent techniques and optimization techniques to provide sustainable solutions to many problems. Features: • Provides insights into the theory, implementation, and application of computational intelligence techniques in many industries. • Includes industry practitioner perspectives and case studies for a better understanding of sustainable solutions. • Highlights the role of intelligent computing and optimization as key technologies in decision-making processes and in providing cutting-edge solutions to real-world problems. • Addresses the challenges and limitations of computational approaches in sustainability, such as data availability, model uncertainty, and computational complexity, while also discusses emerging opportunities and future directions in the field. This book will be useful for professionals and scholars looking for up-to-date research on cutting-edge perspectives in the field of computational intelligent and optimization techniques in the areas of agriculture, industry, financial sector, business automation, renewable energy, optimization, and smart cities. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTP Development studies | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UL Operating systems::ULR Real time operating systems | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design | |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering | |
dc.subject.other | Supply Chain Management | |
dc.subject.other | Optimization techniques | |
dc.subject.other | decision-making processes | |
dc.subject.other | Net Zero | |
dc.subject.other | Sustainable Process Engineering | |
dc.subject.other | Deep Neural network | |
dc.subject.other | SDG | |
dc.subject.other | Sustainable Manufacturing | |
dc.subject.other | Green Sustainability | |
dc.subject.other | Robotic Process Management | |
dc.title | Intelligent Computing and Optimization for Sustainable Development | |
dc.type | book | |
oapen.identifier.doi | 10.1201/9781032625829 | |
oapen.relation.isPublishedBy | 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb | |
oapen.relation.isFundedBy | b818ba9d-2dd9-4fd7-a364-7f305aef7ee9 | |
oapen.relation.isbn | 9781040159897 | |
oapen.relation.isbn | 9781032625829 | |
oapen.relation.isbn | 9781040159910 | |
oapen.relation.isbn | 9781032624563 | |
oapen.collection | Knowledge Unlatched (KU) | |
oapen.imprint | Chapman and Hall/CRC | |
oapen.pages | 272 | |
oapen.grant.number | [...] | |
peerreview.anonymity | Single-anonymised | |
peerreview.id | bc80075c-96cc-4740-a9f3-a234bc2598f1 | |
peerreview.open.review | No | |
peerreview.publish.responsibility | Publisher | |
peerreview.review.stage | Pre-publication | |
peerreview.review.type | Proposal | |
peerreview.reviewer.type | Internal editor | |
peerreview.reviewer.type | External peer reviewer | |
peerreview.title | Proposal review | |
oapen.review.comments | Taylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required). |