Search Results - (( wealth distribution factor algorithm ) OR ( parameter pollution over algorithm ))

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  1. 1

    Air quality measurement using remote sensing and digital images processing techniques / Lim, H. S. … [et al.] by Lim, H. S., Jafri, Mat, Abdullah, M. Z., Ahmad, A.N.

    Published 2004
    “…The digital images were separated into three bands namely red, green and blue bands for multispectral algorithm calibration. In-situ measurements of corresponding air pollution parameters were carried out at the ASMA air pollution station in Universiti Sains Malaysia campus, Penang. …”
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    Conference or Workshop Item
  2. 2

    Impact of air pollutants on climate change and prediction of air quality index using machine learning models by Ravindiran G., Rajamanickam S., Kanagarathinam K., Hayder G., Janardhan G., Arunkumar P., Arunachalam S., AlObaid A.A., Warad I., Muniasamy S.K.

    Published 2024
    “…Particulate matter, gaseous pollutants, and meteorological parameters were used to predict AQI, and the heat map generated showed that of all the parameters, PM2.5 has the greatest impact on AQI, with a value of 0.91. …”
    Article
  3. 3

    Instrumentation Monitoring For Heavy Metal Detection In Batik Industry by Kodi, Saravanan Thunsh

    Published 2019
    “…A real-time monitoring of heavy metals in water environment is crucial nowadays because it is the biggest contributor to water pollution and leads to many diseases to humans. In contrast with organic pollutants, heavy metals cannot be biologically or chemically degraded at all, and thus may either accumulate locally or be transported over long distances. …”
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    Monograph
  4. 4

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Shamshirgaran, S. Reza, Ameri, M, Khalajiassadi, Morteza, Ahmadi, M. Hossein

    Published 2016
    “…The energy price is a critical subject regarding the present global conditions over the world. The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. …”
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    Article
  5. 5

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

    Published 2016
    “…The energy price is a critical subject regarding the present global conditions over the world. The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. …”
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    Article
  6. 6

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Reza Shamshirgaran, S., Ameri, M., Khalaji, M., Ahmadi, M.H.

    Published 2016
    “…The energy price is a critical subject regarding the present global conditions over the world. The strong penalties of CO2 generation have forced the designers to develop systems having the least pollution. …”
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    Article
  7. 7

    Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm by Zohrul, Islam Mohammad

    Published 2021
    “…The obtained results showed the decent improvement comparing to other swarm-based techniques like Whale Optimization Algorithm (WOA), Math Flame (MF), and Glowworm Optimization Algorithm (GOA) in terms of convergence performance and quality. …”
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    Thesis
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  10. 10

    Evaluation of land use land cover changes impacts on water quality at Nerus River using geospatial techniques / Noor Azzatul Najwa Azman by Najwa Azman, Noor Azzatul

    Published 2021
    “…Remote sensing applications in water resources management are necessary in order to determine the water quality, which is very important in solving related problems in future such as risk illness that caused by polluted water. Over the last 10 years, Nerus River was rapidly changing with new development and affect the water quality along the river. …”
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    Thesis
  11. 11

    Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani by Ehsan Taslimi , Renani

    Published 2018
    “…To obtain the unknown vector of parameters of the MHTan, three heuristic optimization algorithms are employed to minimize the sum of squared residuals. …”
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    Thesis
  12. 12

    Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

    Published 2005
    “…For this pollutant an AOT40 (accumulative O3 concentration above a threshold of 40 ppb) value causing 5% yield loss for all agricultural crops has been established as 3000 ppb.h, which is applicable during daylight hours over a growing season (UN-ECE, 1996). …”
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    Thesis
  13. 13

    Optimizations and docking simulation study for metolachlor adsorption from water onto MIL-101(Cr) metal�organic framework by Isiyaka, H.A., Jumbri, K., Sambudi, N.S., Zango, Z.U., Abdullah, N.A.F.B., Saad, B.

    Published 2022
    “…The docking simulation was used to study the interaction between the MOF and the pollutant. Prospects for the MOF to be used repeatedly was also evaluated for six cycles and the MOF still maintain over 90 removal efficiency. …”
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    Article
  14. 14

    Optimizations and docking simulation study for metolachlor adsorption from water onto MIL-101(Cr) metal�organic framework by Isiyaka, H.A., Jumbri, K., Sambudi, N.S., Zango, Z.U., Abdullah, N.A.F.B., Saad, B.

    Published 2022
    “…The docking simulation was used to study the interaction between the MOF and the pollutant. Prospects for the MOF to be used repeatedly was also evaluated for six cycles and the MOF still maintain over 90 removal efficiency. …”
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    Article
  15. 15

    Optimizations and docking simulation study for metolachlor adsorption from water onto MIL-101(Cr) metal�organic framework by Isiyaka, H.A., Jumbri, K., Sambudi, N.S., Zango, Z.U., Abdullah, N.A.F.B., Saad, B.

    Published 2022
    “…The docking simulation was used to study the interaction between the MOF and the pollutant. Prospects for the MOF to be used repeatedly was also evaluated for six cycles and the MOF still maintain over 90 removal efficiency. …”
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    Article
  16. 16

    Treatment of oilfield-produced water using biological and membrane processes by Pendashteh, Alireza

    Published 2010
    “…A feed-forward neural network trained by batch back propagation algorithm was employed to model the MSBR. A set of 193 operational data from the wastewater treatment with the MSBR was used to train the network. …”
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    Thesis
  17. 17