Search Results - (( waste evaluation case algorithm ) OR ( java implication based algorithm ))

Evaluating different machine learning models for predicting municipal solid waste generation: a case study of Malaysia by Latif S.D., Hazrin N.A.B., Younes M.K., Ahmed A.N., Elshafie A.

A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions by Nur Azriati, Mat

“…This research focuses on two solid waste management (SWM) problems, particularly the landfill site selection problem (LSSP) and the waste collection vehicle routing problem (WCVRP). …”
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Performance Review of Modern AI Algorithms Utilized for Medical Waste Sorting Works by Moktar M.H., Hajjaj S., Mohamed H., Weng L.Y.

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection by Ali, Rabiatul Adawiyah, Nik Ibrahim, Nik Nor Liyana, Wan Abdul Karim Ghani, Wan Azlina, Sani, Nor Samsiah, Hon, Loong Lam

“…A decision-making integration framework based on hybrid process network synthesis and machine learning was presented in this study. The municipal solid waste management case study uses to demonstrate the applicability decision-making framework. …”
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Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks by Muftah, Shalghum Khaled

“…In the third part, the worst-case AVB latency under overlapping-based TT windows (AVB-OBTTW) algorithm is presented to examine the OFWOS effects on AVBlatency performance, where represents an AVB queue, i.e., { }. …”
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Development of intelligent evaluation system for product end-of-life selection strategy by Zakri, Ghazalli

“…In order to achieve this, the integration of analytic hierarchical process (AHP) and case-based reasoning (CBR) is used to evaluate the EOL options at the product level. …”
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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.

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Ideally, to perform regression testing is to re-execute all the test cases on the modified software. Re-execution of all test cases can be expensive as there might be wasting resources, could be costly and time consuming. …”
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis by Abujayyab, Sohaib K. M.

“…Hybrid neural network was utilized as an evaluation method to select the optimal selection method and optimal training algorithm. …”
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Strengthening e-waste governance: A decision framework for sustainable transboundary movements under the Swiss-Ghana Amendments by Mohamed Sultan, Al Amin, Faradillah, Pursatul, Samat, Khairul Fadzli, Kamarulzaman, Thahirah

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Crash Recovery Support For Variable Strength T-Way Test Generation Strategy by Abdullah, Syahrul Afzal Che

“…Time and efforts will also be wasted. Secondly, existing strategies commit too early on selection of the best value of input parameters when sampling of the test cases. …”
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