Vai al contenuto principale della pagina
Titolo: | Proceedings of International Conference on Data Science and Applications . Volume 2 : ICDSA 2022 / / edited by Mukesh Saraswat [and three others] |
Pubblicazione: | Singapore : , : Springer, , [2023] |
©2023 | |
Edizione: | 1st ed. 2023. |
Descrizione fisica: | 1 online resource (908 pages) |
Disciplina: | 016.403 |
Soggetto topico: | Artificial intelligence |
Big data | |
Persona (resp. second.): | SaraswatMukesh |
Note generali: | Includes index. |
Nota di contenuto: | Improving River Streamflow Forecasting utilizing Multi-layer Perceptron-based Butterfly Optimization Algorithm -- Covid-19 Contact Tracing Using Low Calibrated Transmission Power from BLE – Approach & Algorithm Experimentation -- Monitoring loud commercials in television broadcast -- Potential Customers Prediction in Bank Telemarketing -- Analysis and implementation of normalization techniques on KDD'99 Dataset for Detect and Prevent Intrusion on Network -- Deep Neural Networks Predicting Student Performance -- An Efficient Group Signature Scheme based on ECDLP -- Sentiment Analysis of COVID-19 tweets using TextBlob and Machine Learning classifiers - An evaluation to show how COVID -19 opinions is influencing psychological reactions of people‘s behaviour in social media. |
Sommario/riassunto: | This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing. |
Titolo autorizzato: | Proceedings of International Conference on Data Science and Applications |
ISBN: | 981-19-6634-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910647785903321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |