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

Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan by Azha S.F., Sidek L.M., Ahmad Z., Zhang J., Basri H., Zawawi M.H., Noh N.M., Ahmed A.N.

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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.

“…Regular monitoring and prediction of the Air Quality Index (AQI) are critical for combating air pollution. …”

Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam by Ravindiran G., Hayder G., Kanagarathinam K., Alagumalai A., Sonne C.

Subjects: “…Air quality index…”

Forecasting of air pollution index PM2.5 using support vector machine(SVM) / Nor Hayati Binti Shafii ... [et al.] by Shafii, Nor Hayati, Alias, Rohana, Zamani, Nur Fithrinnissaa, Fauzi, Nur Fatihah

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Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME) by Rizal Song, Ian Norman

“…A few process will be prepared for the sample collected namely calculating sludge volume index, image acquisition using microscopy, image processing and analysis, identify image analysis parameter and plot the correlation between SVI with determine parameter. …”
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Investigating the reliability of machine learning algorithms as an advanced tool for ozone concentration prediction by Ayman Mohammed Shaher Yafouz, Mr.

“…Also, Sensitivity analysis of input parameters has been investigated. Also, the uncertainty analysis has been performed on all models to evaluate their level of confidence associated with the Willmott Index. …”

Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent by Emmanuel, Freda

“…This study attempts to provide a better classification of water quality that is of accurate representation of the actual health of river water and is achieved by applying existing water quality evaluation method used in our country, namely DOE-WQI and average NWQS as well as a newly developed model based on Partial Least Squares (PLS) regression and the guideline of NWQS, called PLS-WQI in the indexing process. Indexing with DOE-WQI equation method using six (6) pre-determined DOE-WQI parameters revealed that all stations falls under Class III with a slightly polluted status. …”
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Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring by Amar Lokman, Wan Zakiah Wan Ismail, Nor Azlina Ab Aziz, Anith Khairunnisa Ghazali

An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models by Jalil-Masir H., Fattahi R., Ghanbari-Adivi E., Asadi Aghbolaghi M., Ehteram M., Ahmed A.N., El-Shafie A.

Advancements In Monitoring water Quality Based On Various Sensing Methods: A Systematic Review by Siti Nadhirah Zainurin, Wan Zakiah Wan Ismail, Siti Nurul Iman Mahamud, Irneza Ismail, Khairul Nabilah Zainul Ariffin, Wan Maryam Wan Ahmad Kamil, Juliza Jamaludin

A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee by Wong , Wen Yee

“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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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

“…Other than that, Microsoft Excel also been used to calculate the WQI for each station using WQI algorithm. Overall, the result of this study carried out the relationship between Land use land cover (LULC) change and water quality index (WQI).…”
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Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features by Wen Yee Wong, Ayman Khallel Ibrahim Al-Ani, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Sarah Abdul Razak, Hanee Farzana Hizaddin, Mohd Istajib Mokhtar, Muhammad Mokhzaini Azizan

Water quality monitoring using machine learning and IoT: a review by Hasan, Tahsin Fuad, Kabbashi, Nassereldeen Ahmed, Saleh, Tanveer, Alam, Md. Zahangir, Abd Wahab, Mohd Firdaus, Nour, Abdurahman Hamid

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Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms by Yafouz A., Ahmed A.N., Zaini N., Sherif M., Sefelnasr A., El-Shafie A.

Groundwater quality assessment and optimization of monitored wells using multivariate geostatistical techniques in Amol-Babol Plain, Iran by Narany, Tahoora Sheikhy

“…DRASTIC model was applied as a vulnerability assessment method based on the physical environmental aquifer parameters for assessing potential risk zone of aquifer to contamination, which showed more than 88% of the total area was classified as low to moderate risk to pollutant. …”
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Monitoring water quality in Pusu river using Internet of Things (IoT) and Machine Learning (ML) by Kabbashi, Nassereldeen Ahmed, Hasan, Tahsin Fuad, Alam, Md Zahangir, Saleh, Tanveer, Hassan Abdalla Hashim, Aisha

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Classification of water quality using artificial neural network by Sulaiman, Khadijah

“…Therefore, this research aims to use the artificial neural network (ANN) algorithm to classify water quality at Pontian Kechil, Batu Pahat and Muar river. …”
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Physical Parameters Influence The Microbial Quality Of Indoor Air In Research Laboratories: A Report From Malaysia by Kuilan Yogeswaran, Liyana Azmi, Subha Bhassu, Hafizah N. Isa, Muhamad Afiq Aziz