Search Results - (( java implementation tree algorithm ) OR ( making program gaining algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…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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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

“…There are three main programs work together. The programs are back-propagation neural network program, training and performance program and recognition program. …”
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Petri Net Algorithm for controlling and monitoring system by Mohamad Shaiful, Osman

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A flowchart-based multi-agent system for assisting novice programmers with problem solving activities by Hooshyar D., Ahmad R.B., Raj R.G., Nizam M.H.N.M., Yousefi M., Horng S.-J., Rugelj J.

“…The aim is to improve students' problem solving skills and to introduce them to the basic programming algorithms prior to surface structure, using an automatic text-to-flowchart conversion approach. …”

Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment by Sa'ad, Suleiman

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An empirical study of input methods deployed during treatment session in a clinical system / Fakhrul Hazman Yusoff, Norlis Othman and Abidah Hj. Mat Taib by Yusoff, Fakhrul Hazman, Othman, Norlis, Mat Taib, Abidah

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VHF adaptive antenna using a rear defogger by Abdullah, Noorsaliza

“…For numerical simulation, MATLAB is used to make a program for simplex method. From the simulation results, it shows that almost 80 % of the signals have signal to interference noise ratio (SINR) greater than 20 dB. …”
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A multi-filter feature selection in detecting distributed denial-of-service attack by Yon, Yi Jun, Leau, Yu-Beng, Suraya Alias, Park, Yong Jin

“…In this research, a Multi-Filter Feature Selection (M2FS) method is proposed by combining the 3 filter methods which are Information Gain (IG), Gain Ratio (GR) and Relief. It consists of 3-stage procedures: feature ranking, feature selection and classification. …”
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Development Of An Intelligent Water Blending System For Irrigation Of Crops With Various Salinity Tolerance And Aquaculture by Abdullah Al-Jughaiman, Abdullah Sulaiman

“…The application of Artificial Intelligence (AI) systems in decision-making and intelligent control systems has recently gained attention of researchers. …”
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Customer sentiment analysis through social media feedback by Siti Nur Syamimi, Mat Zain

“…It assists companies in gaining insights and efficiently responding to their customers. …”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis by Rochin Demong, Nur Atiqah, Mohamed Razali, Murni Zarina, Kamaruddin, Juliana Noor, Shamsuddin, Sazwan, Awang, Nor Ain, Kamarudin, Norjuliatie, Wan Othman, Noor Faradilla

“…Attribute selection through Information Gain Attrite Evaluation model highlighted Program Code, Course Code and Type of Course as the strongest predictors of course approval and demand levels. …”
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Development of optimized maintenance scheduling model for coal-fired power plant boiler by Noor Fazreen Binti Ahmad Fuzi, Ms.

“…The MILP model was shown to be a useful decision-making tool for optimizing maintenance scheduling under different circumstances when tested with PSO and some trial simulations. …”