Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319302595> ?p ?o ?g. }
- W4319302595 endingPage "23" @default.
- W4319302595 startingPage "1" @default.
- W4319302595 abstract "The present chapter provides an exhaustive review on the noise monitoring studies, comparison of the prediction models including physical propagation model, and applications of the artificial intelligence techniques, noise mapping, and noise pollution monitoring in mining sector carried out by various researchers. Most of the noise pollution studies deal with the assessment of traffic noise and some were focused exclusively on noise monitoring for the residential, educational, industrial, and commercial sites noise. The study reveals that early models were based on mathematical prediction models, later machine learning and deep learning methods were generally used for prediction and forecasting of noise levels. A retrospective view on noise mapping and control is presented in the chapter. Also, the noise pollution control and abatement measures are highlighted that shall be indispensable for reducing the ambient noise levels in metropolitan cities of the country." @default.
- W4319302595 created "2023-02-07" @default.
- W4319302595 creator A5034287325 @default.
- W4319302595 creator A5035522115 @default.
- W4319302595 creator A5043429950 @default.
- W4319302595 date "2023-01-01" @default.
- W4319302595 modified "2023-10-01" @default.
- W4319302595 title "Strategies and Implications of Noise Pollution Monitoring, Modelling, and Mitigation in Urban Cities" @default.
- W4319302595 cites W1531695424 @default.
- W4319302595 cites W1635589805 @default.
- W4319302595 cites W1967211271 @default.
- W4319302595 cites W1968165208 @default.
- W4319302595 cites W1977408156 @default.
- W4319302595 cites W1978985447 @default.
- W4319302595 cites W1980049038 @default.
- W4319302595 cites W1986940499 @default.
- W4319302595 cites W1988519022 @default.
- W4319302595 cites W1995738756 @default.
- W4319302595 cites W2009670585 @default.
- W4319302595 cites W2010973889 @default.
- W4319302595 cites W2012392502 @default.
- W4319302595 cites W2013926986 @default.
- W4319302595 cites W2019754927 @default.
- W4319302595 cites W2028546147 @default.
- W4319302595 cites W2034747284 @default.
- W4319302595 cites W2040376361 @default.
- W4319302595 cites W2040536790 @default.
- W4319302595 cites W2045394951 @default.
- W4319302595 cites W2049221022 @default.
- W4319302595 cites W2061846756 @default.
- W4319302595 cites W2062572470 @default.
- W4319302595 cites W2062999869 @default.
- W4319302595 cites W2071640819 @default.
- W4319302595 cites W2077029830 @default.
- W4319302595 cites W2080782212 @default.
- W4319302595 cites W2083342647 @default.
- W4319302595 cites W2084824569 @default.
- W4319302595 cites W2092714473 @default.
- W4319302595 cites W2101469563 @default.
- W4319302595 cites W2114560218 @default.
- W4319302595 cites W2123627429 @default.
- W4319302595 cites W2133058277 @default.
- W4319302595 cites W2160569058 @default.
- W4319302595 cites W2252826397 @default.
- W4319302595 cites W2426725704 @default.
- W4319302595 cites W2427831998 @default.
- W4319302595 cites W2511206678 @default.
- W4319302595 cites W2754007387 @default.
- W4319302595 cites W2947352183 @default.
- W4319302595 cites W2961531191 @default.
- W4319302595 cites W2994151305 @default.
- W4319302595 cites W3005321468 @default.
- W4319302595 cites W3006572774 @default.
- W4319302595 cites W3085808659 @default.
- W4319302595 cites W3088525587 @default.
- W4319302595 cites W3119830934 @default.
- W4319302595 cites W3123965437 @default.
- W4319302595 cites W3133671315 @default.
- W4319302595 cites W3138790025 @default.
- W4319302595 cites W3184514895 @default.
- W4319302595 cites W3185668006 @default.
- W4319302595 cites W3187787124 @default.
- W4319302595 cites W4200349310 @default.
- W4319302595 cites W4214925645 @default.
- W4319302595 cites W4280532235 @default.
- W4319302595 cites W4281752897 @default.
- W4319302595 cites W4281760108 @default.
- W4319302595 doi "https://doi.org/10.1007/978-981-19-1550-5_86-1" @default.
- W4319302595 hasPublicationYear "2023" @default.
- W4319302595 type Work @default.
- W4319302595 citedByCount "0" @default.
- W4319302595 crossrefType "book-chapter" @default.
- W4319302595 hasAuthorship W4319302595A5034287325 @default.
- W4319302595 hasAuthorship W4319302595A5035522115 @default.
- W4319302595 hasAuthorship W4319302595A5043429950 @default.
- W4319302595 hasConcept C115961682 @default.
- W4319302595 hasConcept C116822448 @default.
- W4319302595 hasConcept C119857082 @default.
- W4319302595 hasConcept C121332964 @default.
- W4319302595 hasConcept C130858481 @default.
- W4319302595 hasConcept C154945302 @default.
- W4319302595 hasConcept C158739034 @default.
- W4319302595 hasConcept C163294075 @default.
- W4319302595 hasConcept C166957645 @default.
- W4319302595 hasConcept C18903297 @default.
- W4319302595 hasConcept C203718221 @default.
- W4319302595 hasConcept C205649164 @default.
- W4319302595 hasConcept C24890656 @default.
- W4319302595 hasConcept C29265498 @default.
- W4319302595 hasConcept C39432304 @default.
- W4319302595 hasConcept C41008148 @default.
- W4319302595 hasConcept C45804977 @default.
- W4319302595 hasConcept C521259446 @default.
- W4319302595 hasConcept C86781634 @default.
- W4319302595 hasConcept C86803240 @default.
- W4319302595 hasConcept C99498987 @default.
- W4319302595 hasConceptScore W4319302595C115961682 @default.
- W4319302595 hasConceptScore W4319302595C116822448 @default.