Search Results - (( developing mobile using algorithm ) OR ( java application clustering algorithm ))

Application-Programming Interface (API) for Song Recognition Systems by Murtadha Arif Sahbudin, Chakib Chaouch, Salvatore Serrano

Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

“…The prototypes will be developed using JAVA language united with a MySQL database. Core functionality of the simulator are job generation, volunteer generation, simulating algorithms, generating graphical charts and generating reports. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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A web-based implementation of k-means algorithms by Lee, Quan

“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong by Chong, Chun Yong

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A Mobile Application For Stock Price Prediction by Choy, Yi Tou

“…In conclusion, this project’s objectives were achieved by developing the mobile application for stock price prediction using the best time series algorithm evaluated, which is ARIMA.…”
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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

“…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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Mobile game application development using evolutionary algorithms by Ong, Jia Hui

“…Hence it has opened up a whole new market with its mass among users and attracted a large number of smartphone application developers. Evolutionary Algorithms have never been used on mobile applications, thus it gives a novel idea of utilizing Evolutionary Algorithms in developing applications typically in games for mobile platforms. …”
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Implementation of an autonomous mobile robot navigation algorithm using C language by Subra Mullisi, Shafeq Marwan

“…The objective of the project is to develop navigation algorithm for the autonomous mobile robot. …”
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Scan Matching and KNN Classification for Mobile Robot Localisation Algorithm by Addie Irawan, Hashim, Marni Azira, Markom, Abdul Hamid, Adom, Mohd Muslim Tan, E. S.

“…The mobile robot and the developed algorithm are tested in static environment. …”
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Development of coordinating algorithm for rendezvous task of mobile robots by Ng, Jin Siang

“…Each robot has a limited view of the environment, and they communicate with their neighbouring robots to share information about their current position. The proposed algorithm was developed using MATLAB and implemented within ROS2, which are widely used in the robotics industry. …”
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Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space by Zahari, Ammar, Ismail , Amelia Ritahani, Desia, Recky

“…A simulated robot in a simulated environment is used to test the algorithm that is to be developed. …”
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Development of mobile robot and localization system by Juhari, Khairul Anuar

“…Mobile robot is currently being actively developed for both civilian and military use to perform dull, dirty and dangerous activities. …”
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Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah by Wan Ngah, Wan Ahmad Jailani

“…Implementation of Bug algorithm also requires assumption that the localisation for mobile robot is ideal causes the need for ideal sensor and unrealistic for real mobile robots to be implemented in real world. …”
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Marketplace product recommendation using collaborative filter / Muhammad Alif Fauzan Ismail by Ismail, Muhammad Alif Fauzan

“…In conclusion this paper is to develop a product recommender in marketplace mobile application using Collaborative Filter and the accuracy of the algorithm is measured using Mean Absolute Error…”
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Thalassaemia detection using CBR Algorithm via mobile device by Nur Faezah, Omar

“…This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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Secure mobile AES encryptor (SMAE) by Satia, Anbalagan

“…The purpose of this project is to identify a way to develop a mobile web application for the encryption and decryption of files using the 256 –bit Advanced Encryption Standard (AES) encryption algorithm. …”
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Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS) by Khairul Anuar Juhari, Rizauddin Ramli, Sallehuddin Mohamed Haris, Zunaidi Ibrahim, Abdullah Zawawi Mohamed

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A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. …”