Search Results - (( java adaptation optimization algorithm ) OR ( waste pollution based algorithm ))

Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater by Khan M.S.J., Sidek L.M., Kumar P., Alkhadher S.A.A., Basri H., Zawawi M.H., El-Shafie A., Ahmed A.N.

Waste Prediction in Gross Pollutant Trap Using Machine Learning Approach by Elpina, Sari, Tri Basuki, Kurniawan

“…This research compares 3 algorithms for predicting the amount of waste trapped by GPT: Simple Linear Regression, Multiple Linear Regression, and Polynomial Regression. …”
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Design of smart waste bin and prediction algorithm for waste management in household area by Yusoff, Siti Hajar, Abdullah Din, Ummi Nur Kamilah, Mansor, Hasmah, Midi, Nur Shahida, Zaini, Syasya Azra

“…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. …”
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Combustion modelling of an industrial municipal waste combustor in Malaysia by Hussain, Ahmad, Ani, Farid Nasir, Sulaiman, Norzalia, Adnan, Mohammed Fadzil

“…Disposal of Municipal Solid Waste (MSW) in Malaysia by open incineration is increasingly becoming a problem. …”
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Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill by Abunama, Taher, Othman, Faridah, Ansari, Mozafar, El-Shafie, Ahmed

“…Leachate is one of the main surface water pollution sources in Selangor State (SS), Malaysia. …”
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Combustion modeling of municipal waste combustor by Hussain, Ahmad, Ani, Farid Nasir, Darus, Amer Nordin, Adnan, Mohammed Fadzil, Surjosatyo, Adi, Mustafa, Azeman, Salema, Arshad A.

“…The average amount of municipal solid waste (MSW) generated in Malaysia is 0.5-0.8 kg/person/day and has increased to 1.7 kg/person/day in major cities. …”
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Classification model for water quality using machine learning techniques by Azilawati, Rozaimee, Azrul Amri, Jamal, Azwa, Abdul Aziz

“…This article proposes a suitable classification model for classifying water quality based on the machine learning algorithms. The paper analyzed and compared performance of various classification models and algorithms in order to identify the significant features that contributed in classifying water quality of Kinta River, Perak Malaysia. …”
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Neural network prediction for efficient waste management in Malaysia by Yusoff, Siti Hajar, Abdullah Din, Ummi Nur Kamilah, Mansor, Hasmah, Midi, Nur Shahida, Zaini, Syasya Azra

“…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on population growth factor. …”
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Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components by Liang G., Panahi F., Ahmed A.N., Ehteram M., Band S.S., Elshafie A.

Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm by Ting S.C., Ismail A.R., Malek M.A.

Incorporating energy generation process in environmental assessment of a biopharmaceutical process by Auni Hamimi, Idris

“…Therefore, this work aims to estimate the PET value from WFT and pure steam generation using a simple algorithm which is modified from Waste Reduction (WAR) Algorithm. …”
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Instrumentation Monitoring For Heavy Metal Detection In Batik Industry by Kodi, Saravanan Thunsh

“…This project introduced mathematical algorithm to represent the existing metal concentration in the solution based on statistical analysis from the data collection using laboratory control sample. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Incorporating Potential Environmental Impact from Water for Injection in Environmental Assessment of Monoclonal Antibody Production by A., Idris, Chua, Gek Kee, Mohamad Rizza, Othman

“…Utility steam is generated in a steam boiler, where several gas pollutants are produced as by-product. The PEI of these pollutants was estimated based on a modified Waste Reduction (WAR) Algorithm. …”
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Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2-based photocatalysts by Ayodele B.V., Alsaffar M.A., Mustapa S.I., Vo D.-V.N.

The development of instrument for real-time monitoring of heavy metal discharge for batik industry by Zukri, Mohammad Nizar Mohamed

“…This work had employed mathematical algorithm to analyze the existing metal concentration in the solution based on statistical analysis from the data collection using laboratory control sample. …”
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Modification and characterization of phytase for animal feed production by Noorbatcha, Ibrahim Ali, Samsudin, Nurhusna, Mohd. Salleh, Hamzah

“…Multiple mutations of M216R/E219R/H17A, M216R/E219R/F254E and some other multiple mutations showed improvement in the binding strength, primarily due to the addition of hydrogen bond with the adjacent residues. Automated docking based on genetic algorithm is used to dock the phytate in the active site and Partial Mean Force (PMF) scoring is used to calculate the strength of the binding before and after mutation.…”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector by Siah, Q., Zabiri, H.

“…The multi-objective optimization solved using MINIMAX algorithm also provides decision-makers with a guideline on how to implement WFE nexus locally in the agricultural sector. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector by Siah, Q., Zabiri, H.

“…The multi-objective optimization solved using MINIMAX algorithm also provides decision-makers with a guideline on how to implement WFE nexus locally in the agricultural sector. …”
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