Vai al contenuto principale della pagina
Autore: | Ramdane-Cherif Amar |
Titolo: | Machine Intelligence and Data Science Applications : Proceedings of MIDAS 2022 / / edited by Amar Ramdane-Cherif, T. P. Singh, Ravi Tomar, Tanupriya Choudhury, Jung-Sup Um |
Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (559 pages) |
Disciplina: | 006.3 |
Soggetto topico: | Computational intelligence |
Artificial intelligence | |
Quantitative research | |
Machine learning | |
Computational Intelligence | |
Artificial Intelligence | |
Data Analysis and Big Data | |
Machine Learning | |
Altri autori: | SinghT. P TomarRavi ChoudhuryTanupriya UmJung-Sup |
Nota di contenuto: | Blockchain-supported Sustainable Supply Chain in Industry 4.0 -- COVID 19 Cases In India: A Study on the effect of Weather Factors and Building the Forecast Model -- A Review On Scheduling in Cloud Fog Computing Environments -- Simplifying Handwritten Medical Prescription: OCR Approach. |
Sommario/riassunto: | This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates. |
Titolo autorizzato: | Machine Intelligence and Data Science Applications |
ISBN: | 981-9916-20-8 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910743681303321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |