Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sateesh N. Hosamane"'
Autor:
Sateesh N Hosamane
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 44, Iss 5, Pp 1256-1263 (2022)
Air pollution, especially particulate matter (PM) pollution, has a significant impact on India. PM pollution is due to roadside dust, fossil fuel use, vehicular population, and industrial emissions. PM10 forecasting model development is essential b
Externí odkaz:
https://doaj.org/article/1c3df43b1f1e4c34a5b8c8c470727d46
Autor:
Shankramma S. Kerur, Manjunath S. Hanagadakar, Santosh S. Nandi, Ratnamala Sholapurmath, Sateesh N. Hosamane
A novel, cost-effective activated carbon was prepared from local corn industry waste sludge to treat chromium (VI) ions from an aqueous solution. Adsorption is one of the promising techniques for treating chromium. The adsorption efficiency depends o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2290757625ef82b1e316289bae9cb966
https://doi.org/10.21203/rs.3.rs-2098125/v1
https://doi.org/10.21203/rs.3.rs-2098125/v1
Publikováno v:
Materials Today: Proceedings. 42:1456-1461
Assessment of Pozzolonic activity of certain industrial waste is important due to an increasing need of cementitious material. This study was undertaken to widen the scope of using pozzolanic waste like fly ash and bagasse ash as a supplement to ceme
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811628252
This article presents physico-chemical parameters of Panchganga River, Maharashtra, India. The river receives varieties of domestic, industrial and agricultural wastes located around the river. The samples are collected from seven different locations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd14681aa92e82a79029e92c6ad14481
https://doi.org/10.1007/978-981-16-2826-9_49
https://doi.org/10.1007/978-981-16-2826-9_49
Autor:
Sateesh N. Hosamane
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811391866
RTIP2R (3)
RTIP2R (3)
Three-layer principal component based artificial neural network (ANN) model is used to predict PM\(_{10}\), NO\(_{2}\) and SO\(_{2}\) concentration. The developed model predictions are compared with the measured pollutant concentrations. The daily av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a593099c9c6cd64e27355a8166f238f
https://doi.org/10.1007/978-981-13-9187-3_39
https://doi.org/10.1007/978-981-13-9187-3_39
Autor:
Akshay Hukerikar, Sateesh N. Hosamane, Sneha S. Bandekar, Akshata Yaragatti, Pavan Chachadi, Chidanand Patil, Sachin Patil
Publikováno v:
Journal of Physics: Conference Series. 1706:012018
Nanotechnology deals with the study of manipulation of the materials on molecular or an atomic scale. Nanomaterials and nanocomposites possess unique characteristics such as miniature particle sizes with a close particle size distribution properties
Publikováno v:
Journal of Physics: Conference Series. 1706:012132
Urban air pollution is rapidly becoming an environmental issue of global concern, affecting public health, regional weather, and climate. The air quality crisis in cities is mainly caused by vehicle emissions. A city's air quality is assessed using t
Autor:
G. P. Desai, Sateesh N. Hosamane
Publikováno v:
Computational Vision and Bio Inspired Computing ISBN: 9783319717661
The aim of this study is to develop neural network air quality prediction model for PM10 (particle whose diameter is less the 10 µm), NO2 and SO2. A multilayer neural network model with a hidden recurrent layer is used to predict pollutant concentra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12ec022a0f2219ed4e0b121021cac6cc
https://doi.org/10.1007/978-3-319-71767-8_39
https://doi.org/10.1007/978-3-319-71767-8_39