Artificial Intelligence and Data Science Based R&D Interventions [electronic resource] : Proceedings of NERC 2022 / edited by Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi.
Tipo de material:
TextoEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXVIII, 205 p. 113 illus., 85 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819926091Tema(s): Artificial intelligence | Artificial intelligence -- Data processing | Natural language processing (Computer science) | Speech processing systems | Signal processing | Artificial Intelligence | Data Science | Natural Language Processing (NLP) | Speech and Audio ProcessingFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónico
Contenidos:
En: Springer Nature eBookResumen: This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.
Negation in A Language -- A Computational Approach for the Tonal Identification in Bodo Language -- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning -- Development Of Directional Drilling Well Profile Design App Using Python -- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Negation in A Language -- A Computational Approach for the Tonal Identification in Bodo Language -- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning -- Development Of Directional Drilling Well Profile Design App Using Python -- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India.
This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.
UABC ; Perpetuidad
