Search Results - (( waste reduction models algorithm ) OR ( java implementation path algorithm ))

Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization by Akhtar M., Hannan M.A., Begum R.A., Basri H., Scavino E.

“…Bins; Budget control; Carbon dioxide; Cost reduction; Costs; Crashworthiness; Efficiency; Environmental impact; Fuels; Learning algorithms; Optimization; Solid wastes; Vehicle routing; Backtracking search algorithms; Capacitated vehicle routing problem; Environmental emissions; Optimization modeling; Route optimization; Solid waste collection; Threshold waste level; Waste collection; Waste management; fuel; carbon dioxide; solid waste; algorithm; fuel consumption; modeling; optimization; solid waste; threshold; waste management; algorithm; Article; backtracking search algorithm; capacitated vehicle routing problem model; carbon footprint; controlled study; environmental impact assessment; feasibility study; limit of quantitation; measurement precision; process model; process optimization; solid waste collection; solid waste management; motor vehicle; procedures; solid waste; theoretical model; waste disposal; Algorithms; Carbon Dioxide; Models, Theoretical; Motor Vehicles; Refuse Disposal; Solid Waste…”

Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm by Hannan M.A., Akhtar M., Begum R.A., Basri H., Hussain A., Scavino E.

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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Development of novel algorithm features in the modelling of cyclic processes by Choong, Thomas S.Y., Paterson, William R., Scott, David M.

“…The second feature of the algorithm is a reduction of the number of cycles required to reach the CSS while ensuring that the CSS is certainly determined. …”
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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.

Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management by almahameed, Bader aldeen, Bisharah, Majdi

“…Evaluation metrics such as Mean Squared Error, Root Mean Squared Error, Mean Absolute Error, and R-squared are commonly employed in the assessment of Machine Learning models' performance. The Voting regression, which leverages the collective predictive power of multiple models, exhibits superior performance in comparison to individual algorithms. …”
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Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System by Nwogbaga, Nweso Emmanuel

“…The attribute reduction technique is implemented with Matlab. The EECPD and GAEIWPSO algorithms are implemented with Python and Networkx simulators while DTOA algorithm is implemented with iFogSim to demonstrate the efficiency of the proposed scheme. …”
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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

“…Poor motivation for the implementation of the construction on-site waste reduction, insufficient waste management skills, the shortage of appropriately designed and decently handled landfill system, lack of team work, unequal workload and task distribution among the divisions is the result of poor organizational structure among construction organizations in Nigeria. …”
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The classification of FTIR plastic bag spectra via label spreading and stacking by Almanifi, Omair Rashed Abdulwareth, Ng, Jee Kwan, Anwar P. P., Abdul Majeed

“…Four pipelines were investigated, consisting of two machine learning algorithms, a stacked model that stacks the KNN, SVM and RF algorithms together, and Label spreading, as well as two different dimensionality reduction methods namely; SVD and UMAP. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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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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Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks by Muftah, Shalghum Khaled

“…Both models are evaluated under back-to-back and porosity configurations with light and heavy load conditions. …”
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Determination of energy usage and potential environment impact (pei) of a vapor compression distillation system for production of water for injection (wfi) in pharmaceutical indust... by Siti Nabihah, Abdul Latif

“…The amount of PET were analysed in waste reduction (WAR) algorithm using the amount of energy usage adapted from simulation. …”
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