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Implementation of Cognitive Mapping Algorithm for Robot Navigation System by Ismail , Amelia Ritahani, Desia, Recky, Zuhri, Muhammad Fuad Reza, Daniel, Raja Muhammad

“…After doing all implementation, finally, some comparison between robot mapping and robot edge follower will be done to observe the differences between these algorithms in term of time and path needed.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Cryptography: A New Approach of Classical Hill Cipher by Abdul Rahman, Mohd Nordin, Yusof, Mohd Kamir, Abidin @ Bharun, Ahmad Faisal Amri, Mohamad Usop, Nor Surayati

“…Studies on previous results showed that the existing Hill algorithms are not yet sufficient. Some of these algorithms are still vulnerable to known plaintext attack. …”
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Fuzzy modeling of brain tissues in Bayesian segmentation of brain MR images by Farzan, Ali, Ramli, Abdul Rahman, Mashohor, Syamsiah, Mahmud, Rozi

“…Results show that our algorithm performs well in comparison with the one implemented in SPM. …”
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Attribute related methods for improvement of ID3 Algorithm in classification of data: A review by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm by Zeni, Saltihie

“…This document is a study about LEACH algorithm where the implementation was done using OMNeT++ network simulator to study the performance of this algorithm in term of network lifetime. …”
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Fuzzy state space modeling for solving inverse problems in multivariable dynamic systems by Ismail, Razidah

“…To facilitate the implementation of these algorithms, a semi-automated computational tool using Matlab® programming facilities is developed. …”
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Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul by Tom´As, Maul

“…At the algorithmic level, several approaches for solving the pose estimation problem are compared in terms of their neural implementability. …”
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja by Nurul Hani , Nortaja

“…Nonetheless, the A • algorithm do have some unique properties which is more efficient in finding the shortest path especially in human real-world problem. …”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem by Lee, Wei Wen, Hashim, Mohd Ruzaini

“…The original ABC algorithm has a better exploration approach while the ARO algorithm has a better exploitation strategy when approaching the optimum value. …”
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Optimal Overcurrent Relays Coordination using an Improved Grey Wolf Optimizer by Noor Zaihah, Jamal, Mohd Herwan, Sulaiman, Omar, Aliman, Zuriani, Mustaffa

“…Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. …”
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Global gbest guided-artificial bee colony algorithm for numerical function optimization by Shah, Habib, Tairan, Nasser, Garg, Harish, Ghazali, Rozaida

“…Recently, an attractive bio-inspired method—namely the Artificial Bee Colony (ABC)—has shown outstanding performance with some typical computational algorithms in different complex problems. …”
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A novel normal parameter reduction algorithm of soft sets by Ma, Xiuqin, Norrozila, Sulaiman, Qin, Hongwu, Herawan, Tutut

“…The comparison result on a Boolean-valued dataset shows that, the proposed algorithm involves relatively less computation and is easier to implement and understand as compared with the soft set-based algorithm of normal parameter reduction.…”
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Friend recommendation using collaborative filtering / Nurfatini Atiqah Hamidi by Hamidi, Nurfatini Atiqah

“…Lastly, the evaluation of the accuracy of the recommendation is done by using Mean Absolute Error and on average the predictive value of Collaborative Filtering algorithm distance from the actual value is 0.046. …”
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Hybrid Real-Value-Genetic-Algorithm and Extended-Nelder- Mead Algorithm for Short Term Energy Demand Prediction by Musa, Wahab, Ku Mahamud, Ku Ruhana, Salim, Sardi, Sediyono, Agung

“…This study proposes a hybrid prediction algorithm which comprises the RVGA and the extended-Nelder-Mead (ENM) algorithm. …”
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An enhanced color image encryption algorithm using LT-PRNG by Mohammed Ismael, Saba

“…Although these algorithms are simple and effective to some extent, most of them are inefficient due to the following reasons: firstly, there is a low security due to the dynamic degradation of chaotic systems in their realization with a digital computer; secondly, some low-dimension chaos-based encryptions have slow performance speeds because of analytical floating-point computations which makes encryption infeasible in real time. …”
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Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

“…Altogether, for BOD, the BR algorithm with 60% training and 12 hidden nodes gives R=0.7825 whereas for COD, the BR algorithm with 70% training and 10 hidden nodes gives R=0.6716. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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Measuring aircraft altimetry system error using automatic dependent surveillance-broadcast data / Kalyani Bahskaran by Kalyani , Bahskaran

“…This research identifies a process to measure the ASE values using ADS-B data. Subsequently, a computer algorithm and interfacing tool is developed. …”
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Mobile student study planner by Chai, Jia Yuan

“…One of the added features lacking in existing applications is to help students to arrange their tasks based on the priority order. In order to implement this feature, an scheduling algorithm is applied to calculate the priority value and an automatic time scheduler is implemented to schedule time to all the created tasks. …”
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