Search Results - (( waste relationship model algorithm ) OR ( java implication based algorithm ))

Biochar production from valorization of agricultural Wastes: Data-Driven modelling using Machine learning algorithms by Kanthasamy, R., Almatrafi, E., Ali, I., Hussain Sait, H., Zwawi, M., Abnisa, F., Choe Peng, L., Victor Ayodele, B.

“…This study employs a data-driven approach to model biochar production from agricultural wastes. …”
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The effect of government policy on the relationship between organizational factors and construction waste management in Abuja, Nigeria by Nasidi, Yusuf

“…The government policy shows a strong, positive relationship with construction waste management among construction organizations and it also moderates and strengthens the relationship positively between organizational structure and construction waste management in Abuja. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Automatic control of flotation process using computer vision by Saravani, Ali Jahed

“…In the mineral production industry, the separation of valuable material from waste material is generally carried out using the flotation process. …”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. Every algorithm makes its own respective prior assumptions about the relationships between the features and target variables, which create different types and levels of bias. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Dynamical fuzzy autocatalytic set of combustion process in circulating fluidized bed boiler using transition matrix / Hazwani Hashim by Hashim, Hazwani

“…The improvised GDAis able to reduce computer running time as compared to previous algorithm and able to deals with a sparse graph. Implementation of the algorithm to graphical FACS model of CFB shows that it is able to better explained the combustion process in terms of depletion species over time t and important species which denotes as by-product of the combustion is shown to be in accordance to the real process. …”
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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.