Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Corriere Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Machine Learning for Environmental Noise Classification in Smart Cities

Name: Machine Learning for Environmental Noise Classification in Smart Cities
Brand: Springer, Berlin
SKU: 44743879
Price: 59.19 EUR
Availability: InStock
Author: Ali Othman Albaji
ISBN: 9783031546662

Ali Othman Albaji

Lingua

Inglese

Libro Rigido

Codice Libristo: 44743879

Casa editrice Springer, Berlin, luglio 2024

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both meth... Descrizione completa

Codice Libristo: 44743879

145 b

59.19 €

Magazzino esterno Inviamo tra 10-13 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Sparse sensing and sparsity sensed in multi-sensor array applications Xiangrong Wang

Rigido

171.49 €

New Perspectives in Software Engineering Jezreel Mejía

Rigido

246.49 €

Hacking Connected Cars - Tactics, Techniques, and Procedures Alissa Knight

In brossura

41.29 €

Certified Ethical Hacker (CEH) Foundation Guide Sagar Rahalkar

In brossura

34.89 €

Car Hacker's Handbook Craig Smith

In brossura

36.99 €

Git i GitHub. Kontrola wersji, zarządzanie projektami i zasady pracy zespołowej Mariot Tsitoara

In brossura

19.19 €

Zarządzanie 3.0. Kierowanie zespołami z wykorzystaniem metodyk Agile Jurgen Appelo

In brossura

21.79 €

Sprawne Zarządzanie Projektami Metodą Scrum Ken Schwaber

In brossura

12.99 €

Kompilatory Aho Alfred V.

Rigido

68.59 €

Hardware Hacker Huang Andrew

In brossura

39.49 €

Praktyczna inzynieria wsteczna Opracowanie Zbiorowe

In brossura

25.29 €

Mikuláš na prázdninách Valérie Latour-Burneyová

Rigido

7.19 €

300 citations d'ecrivains anglais Austen

MP3

4.19 €

Úskalia lásky Rupert Martell

Rigido

8.29 €

Candy ja Hugo - eroottinen novelli Varg

MP3

4.19 €

Análisis del discurso y repetición : palabras, actitudes y sentimientos María Matilde Camacho Adarve

In brossura

27.29 €

La extracción de la piedra de la locura y otros poemas Alejandra Pizarnik

In brossura

20.69 €

Stitch à travers les âges

In brossura

15.89 €

Nashville Skyline Bob Dylan

CD audio

12.09 €

Sbírka úloh z matematiky pro přípravu k maturitní zkoušce a k přijímac.zk.na VŠ Josef Kubát

Rigido

15.39 €

House of Dragon hrnek keramický

Articoli di cancelleria

8.69 €

Paleta M2 Dodawanie i odejmowanie w zakresie 100 Tarcze ćwiczeń

binding.

9.19 €

Fénixova věštba Veronika Polehlová

In brossura

9.99 €

Gramatika současné japonštiny

In brossura

14.69 €

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from the collected data, while ML was trained to classify these data. ML algorithms showed promising performance in monitoring the different sound classes such as highways, railways, trains and birds, airports and many more. It is observed that all the data obtained by both methods can be used to control noise pollution levels and for data analytics. They can help decision making and policy making by stakeholders such as municipalities, housing authorities and urban planners in smart cities. The findings indicate that ML can be used effectively in monitoring and measurement. Improvements can be obtained by enhancing the data collection methods. The intention is to develop more ML platforms from which to construct a less noisy. The second objective of this study was to visualize and analyze the data of 18 types of noise pollution that have been collected from 16 different locations in Malaysia. All the collected data were stored in Tableau software. Through the use of both qualitative and quantitative measurements, the data collected for this project was then combined to create a noise map database that can help smart cities make informed decisions.

Attrice & Poliglotta

EWA KASP per

Riproduci video

Libristo ha la più grande selezione di letteratura in lingue straniere. Per questo compro i miei libri qui.

Informazioni sul libro

Titolo completo Machine Learning for Environmental Noise Classification in Smart Cities

Autore Ali Othman Albaji

Lingua

Inglese

Rilegatura Libro - Rigido

Data di pubblicazione 2024

Numero di pagine 188

EAN 9783031546662

Codice Libristo 44743879

Casa editrice Springer, Berlin

Peso 438

Dimensioni 155 x 235

Categorie

Tecnologia, Ingegneria, Agricoltura, processi industriali > Altre tecnologie e scienze applicate > Acustica e ingegneria del suono

Regala questo libro oggi stesso

È facile

1 Aggiungi il libro al carrello e scegli la consegna come regalo 2 Ti invieremo subito il buono 3 Il libro arriverà all'indirizzo del destinatario

Potrebbe interessarti anche

Our Southern Highlanders: A History and Narrative of Adventure in the Southern Appalachian Mountains, and a Study of Life Among the Mountaineers in th Horace Kephart

In brossura

16.09 €