Search Results - (( erp implementation using algorithm ) OR ( java waste optimization algorithm ))
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1
Efficient relay placement algorithm using landscape aware routing (erpalar)
Published 2011“…ERPALAR explores the deployment area and selects specific locations best suited for relay placement that ensures good network coverage, taking into consideration important factors in wireless relay communications such as: Fresnel zone clearance along the Line-of-Sight (LoS), relay transmission range observation, and prevailing height structures in such environment. ERP ALAR was implemented in Matlab R2009a using Genetic Algorithm (GA) with multi-objectives. …”
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2
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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3
Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
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4
P300 detection of brain signals using a combination of wavelet transform techniques
Published 2012“…Wavelet transform (WT), student’s two-sample t-statistic (T-Test) and support vector machines (SVM) used in designing the algorithms. By using three level of channel reduction, three subgroups of channels with the number of 17, 9, and 5 have been chosen based on their ability in P300 pattern recognition. …”
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5
SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…Firstly, a Priority-Based Fair Scheduling (PBFS) algorithm has been introduced to schedule jobs so that jobs can access the required resources at optimal times. …”
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Article -
6
Predictive analytics for pacemaker medical instrument stock management of Transmedic Healthcare
Published 2025“…This study focuses on pacemaker inventory management regarding inefficiencies in forecasts, resultant overstocking, and stockouts due to highly manual data entry at the front end and limited ERP visualisation capabilities. The research applies the CRISP-DM methodology, examining current stock processes, and then collecting and cleansing historical data to develop Always Better Control (ABC) for stock analysis and predictive models using classification and also making a comparison between three algorithms, which are Naive Bayes, Random Forest and Decision Tree. …”
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7
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…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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