Search Results - (( _ application need algorithm ) OR ( some application ((means algorithm) OR (bat algorithm)) ))

Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm by ,, Dwi Pebrianti, Ann Ayop azmi, Nurnajmi Qasrina, Bayuaji, Luhur, Suarin, Nur Aisyah Syafinaz, ,, Muhammad Syafrullah

“…Three different optimization algorithms which are Bat Algorithm (BA), Bat Algorithm with Mutation (BAM) and Extended Bat Algorithm (EBA) are implemented to optimize the value of PID controller gain for wheel mobile robot. …”
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Application of adaptive bats sonar algorithm to minimise car side impact design by Tan, Hon Seong

“…This project was focusing on the modification of bats sonar algorithm (BSA) and renamed to adaptive bats sonar algorithm (ABSA) due to some limitations of previous algorithm. …”
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PID controller design for mobile robot using Bat Algorithm with Mutation (BAM) by Pebrianti, Dwi, Indra, Riyanto, Bayuaji, Luhur, Muhammad Syafrullah, ., Arumgam, Yogesvaran, Nurnajmin Qasrina, Ann

“…Here, an optimization algorithm called Bat Algorithm with Mutation (BAM) is proposed to optimize the value of PID controller gain for mobile robot. …”
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A Mobile Application For Stock Price Prediction by Choy, Yi Tou

“…The evaluation methods were Root Mean Square Error and Mean Absolute Error. The results show ARIMA has the least error among all five prediction algorithms. …”
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Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms by Kamarul Ismail, Nasir Nayan, Siti Naielah Ibrahim

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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications by Teo, Chee Huat

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Survey on job scheduling mechanisms in grid environment by S. M., Argungu, Che Mohamed Arif, Ahmad Suki, Omar, Mohd Hasbullah

“…Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications.These applications generate large data sets.However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as the Internet and WWW), induced impediment in the effective access to such huge and widely distributed data.To minimize this impediment, jobs need to be scheduled across grid environments to achieve efficient data access.Scheduling multiple data requests submitted by grid users onto the grid environment is NP-hard.Thus, there is no best scheduling algorithm that cuts across all grids computing environments.Job scheduling is one of the key research area in grid computing.In the recent past many researchers have proposed different mechanisms to help scheduling of user jobs in grid systems.Some characteristic features of the grid components; such as machines types and nature of jobs at hand means that a choice needs to be made for an appropriate scheduling algorithm to march a given grid environment.The aim of scheduling is to achieve maximum possible system throughput and to match the application needs with the available computing resources.This paper is motivated by the need to explore the various job scheduling techniques alongside their area of implementation.The paper will systematically analyze the strengths and weaknesses of some selected approaches in the area of grid jobs scheduling.This helps researchers better understand the concept of scheduling, and can contribute in developing more efficient and practical scheduling algorithms.This will also benefit interested researchers to carry out further work in this dynamic research area.…”
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Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

“…Texture features involved the middle energy and the middle entropy and shape features involved statistical characterizations including variance, median, standard deviation and mean. Next, the classification was carried out. First, the best set of structures for feed forward neural network were found by multi objective parallel genetic algorithm. …”
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Doa search and retrieval using N-Gram / Nur Nabilah Abu Mangshor ... [et al.] by Abu Mangshor, Nur Nabilah, Sabri, Nurbaity, Ibrahim, Zaidah, Kasiran, Zolidah, Ahmad, Anis Safura

“…Having to search and retrieve the relevant ‘doa’ for one needs at any particular time is beneficial. There are some search and retrieval applications that require using the exact match of the keyword search with the words stored in the database. …”
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Artificial Bee Colony Algorithm for Pairwise Test Generation by Alazzawi, Ammar K., Homaid, Ameen A. Ba, Alomoush, Alaa A., Alsewari, Abdulrahman A.

“…These software applications have many sets of input values, parameters, software/hardware environments and system conditions, which need to be tested to ensure software reliability and quality. …”
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Bat echolocation-inspired algorithms for global optimisation problems by Nafrizuan, Mat Yahya

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Development of committee machine models for multiple response optimization problems by Golestaneh, Seyed Jafar

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USING LATENT SEMANTIC INDEXING FOR DOCUMENT CLUSTERING by MUFLIKHAH, LAILIL

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Dropping down the maximum item set: improving the stylometric authorship attribution algorithm in the text mining for authorship investigation by Mustafa, Tareef Kamil, Mustapha, Norwati, Azmi Murad, Masrah Azrifah, Sulaiman, Md. Nasir

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Simple Screening Method of Maize Disease using Machine Learning by Chyntia Jaby, Entuni, Tengku Mohd Afendi, Zulcaffle

“…Fuzzy C-Means is a new algorithm and very efficient to be used in object detection. …”
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The role of the interface and interface management in the optimization of BIM multi-model applications: a review by Hmidah, Nawal Abdunasseer, Haron, Nuzul Azam, Alias, Aidi Hizami, Law, Teik Hua, Altohami, Abubaker Basheer Abdalwhab, Raja Ahmad Effendi, Raja Ahmad Azmeer

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Keyword search for doa retrieval using N-gram / Anis Safuraa Ahmad Tajudin by Ahmad Tajudin, Anis Safura

“…Doa is derived from Arabic word which means that one asks for the fulfillment of a need or that some harm be removed from him/her. …”
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Comparison of 3S multi-thresolding with fuzzy c-means method by Mortazavi, Daryoush, Mashohor, Syamsiah, Mahmud, Rozi, Jantan, Adznan

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An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

“…Nevertheless, some major issues need to be considered. The GD method not performed well in large scale applications and when higher learning performances are required. …”
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AUTOMATED MALARIA PARASITE QUANTIFICATION OF THIN BLOOD SMEAR by YEO, YEO SOCK CHUANG

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