Name: A Beginner's Guide to Data Agglomeration and Intelligent Sensing (en Inglés)
Price: 540.71 PEN
Availability: InStock
Author: Amartya Mukherjee; Ayan Kumar Panja; Nilanjan Dey
ISBN: 9780128203415

portada A Beginner's Guide to Data Agglomeration and Intelligent Sensing (en Inglés)

A Beginner's Guide to Data Agglomeration and Intelligent Sensing (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Amartya Mukherjee; Ayan Kumar Panja; Nilanjan Dey

Año

2020

Idioma

Inglés

N° páginas

198

Encuadernación

Tapa Blanda

ISBN13

9780128203415

N° edición

Categorías

Biotecnología

A Beginner's Guide to Data Agglomeration and Intelligent Sensing (en Inglés)

Amartya Mukherjee; Ayan Kumar Panja; Nilanjan Dey (Autor) · Academic Press · Tapa Blanda

Más barato Libro Nuevo Importado

Envío: 18 a 23 días háb.

S/ 1.201,59S/ 540,71

-55%

Más rápido Libro Nuevo Importado

Envío: 12 a 17 días háb.

S/ 1.629,26S/ 733,17

-55%

Costos de importación incluídos en el precio ✅

Libro Nuevo Más barato

Quedan 100 unidades

S/ 540,71

Llega entre el 01 Sep y el 09 Sep a CERCADO DE LIMA, Lima. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "A Beginner's Guide to Data Agglomeration and Intelligent Sensing (en Inglés)"

A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures. Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems. Presents the latest advances in data agglomeration for intelligent sensingDiscusses the basic concepts of sensors, real-life applications of sensors and systems, the protocols and applications of wireless sensor networks, the methodology of sensor data accumulation, and real-life applications of Intelligent Sensor NetworksProvides readers with an easy-to-learn and understand introduction to the concepts of the cloud platform, Sensor Cloud and Machine Learning