Applied Data Science and Smart Systems
dc.contributor.editor | Singh, Jaiteg | |
dc.contributor.editor | Goyal, SB | |
dc.contributor.editor | Kumar Kaushal, Rajesh | |
dc.contributor.editor | Kumar, Naveen | |
dc.contributor.editor | Singh Sehra, Sukhjit | |
dc.date.accessioned | 2024-06-27T15:44:54Z | |
dc.date.available | 2024-06-27T15:44:54Z | |
dc.date.issued | 2025 | |
dc.identifier | ONIX_20240627_9781040017234_7 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/91133 | |
dc.description.abstract | The Second International Conference on Applied Data Science and Smart Systems (ADSSS-2023) was held on 15-16 December 2023 at Chitkara University, Punjab, India. This multidisciplinary conference focussed on innovation and progressive practices in science, technology, and management. The conference successfully brought together researchers, academicians, and practitioners across different domains such as artificial intel>ligence and machine learning, software engineering, automation, data science, business computing, data com>munication, and computer networks. The presenters shared their most recent research works that are critical to contemporary business and societal landscape and encouraged the participants to devise solutions for real>world challenges. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license. | |
dc.language | English | |
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::UB Information technology: general topics | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering | |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology | |
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 | Data Science | |
dc.subject.other | Machine Learning | |
dc.subject.other | Deep Learning | |
dc.subject.other | Blockchain | |
dc.subject.other | Metaverse | |
dc.subject.other | Deep Intelligence | |
dc.subject.other | Software Engineering | |
dc.subject.other | Business Intelligence | |
dc.title | Applied Data Science and Smart Systems | |
dc.type | book | |
oapen.identifier.doi | 10.1201/9781003471059 | |
oapen.relation.isPublishedBy | 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb | |
oapen.relation.isFundedBy | 068c6068-1d48-4460-935f-c1687015f442 | |
oapen.relation.isbn | 9781040017234 | |
oapen.relation.isbn | 9781040017371 | |
oapen.relation.isbn | 9781003471059 | |
oapen.relation.isbn | 9781032748146 | |
oapen.imprint | CRC Press | |
oapen.pages | 632 | |
oapen.grant.number | [...] |