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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP by Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Muzaffar Hamzah, Aida Mustapha, Angela Amphawan

“…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
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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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Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus by Kumar, A., Ridha, S., Ilyas, S.U., Dzulkarnain, I., Pratama, A.

“…The statistical error estimation exhibits an average root mean squared error of 0.228 and mean absolute percentage error of 8.21 for four different samples of Power-Law fluid, with varying eccentricities. …”
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Minimizing total production cost in hybrid flow shop scheduling using taguchi enhanced particle swarm optimization algorithm by Wasif, Ullah, Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim, G. Tejani, Ghanshyam

“…Through experimental analysis, TPSO consistently provided the best solutions regarding mean fitness, outperforming other algorithms in a maximum of 12 benchmark test problems.Taguchi's Design of Experiment (DOE) was utilized to identify the most influential parameter configurations for PSO. …”
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Analysis of vehicular traffic flow of main road and alternative road in Kuala Terengganu / Nur Aribah Farzana Arifen & Nur Aiman Salsabila Hashim by Arifen, Nur Aribah Farzana, Hashim, Nur Aiman Salsabila

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A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

“…While the firefly algorithm solution is superior, it has a higher time complexity compared to other algorithms used when there are more hidden layers and neurons. …”
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Solving New Student Allocation Problem (NSAP) with Analytical Hierarchy Process (AHP) by Wan Hussin, Wan Haniza, Shibghatullah, Abdul Samad, Shahbodin, Faaizah

“…So, in this paper the researcher’s focus is on solving NSAP by using AHP to allocate students into their respective classes with minimum intelligence gap in each class and the number of students in each class does not exceed its maximum capacity. The proposed solution will be tested using real data from the Politeknik Ungku Omar to see the result.…”
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Breast cancer detector software (BCDS) using case-based reasoning by Ahmad Bukhari, Abdullah

“…The machine learn in other mean the machine save the new case if the new case does not have the highest similarity and the doctor should do the phisycal check. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Solving New Student Allocation Problem (NSAP) With Analytical Hierarchy Process (AHP) by Shahbodin, Faaizah, Wan Hassim, Wan Haniza, Shibghatullah, Abdul Samad

“…There are many approaches used to solve New Student Allocation Problem (NSAP).Many researchers use application of Genetic Algorithm (GA).However,the study presented in this paper applies an Analytical Hierarchy Process (AHP)technique in solving New Student Allocation Problem (NSAP) handled by Registration Unit at Ungku Omar Polytechnic.The problem is the students are allocated to their class randomly,just by using their registration number and by all means without referring to their intelligence level,knowledge,skills and also their performance.So,in this paper the researcher’s focus is on solving NSAP by using AHP to allocate students into their respective classes with minimum intelligence gap in each class and the number of students in each class does not exceed its maximum capacity.The proposed solution will be tested using real data from the Politeknik Ungku Omar to see the result. …”
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Adaptive resource allocation algorithms with QoS support based on network conditions using fuzzy logic system for IEEE 802.11n networks / Bakeel Hussein Naji Maqhat by Naji Maqhat, Bakeel Hussein

“…However, IEEE 802.1 In standard does not specify a scheduling algorithm to guarantee QoS. …”
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Steganography For Embedding Data In Digital Image by Sowan, Salah Ibrahem

“…Steganography, like cryptography, is a means of providing secrecy. Steganography does so by hiding the very existence of the communication, while cryptography does so by scrambling a message so it cannot be understood. …”
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Corrosion Inhibition Study Of Carboxymethyl Celluloseionic Liquid Via Electrochemical And Machine Learning Technique by Adi Hafizamri Ariffin, Wan Mohd Norsani Wan Nik, Samsuri Abdullah, Mohd Ikmar Nizam Mohamad Isa, Vincent Izionworu, Mohammad Fakhratul Ridwan Zulkifli

Development of low cost autonomous wheelchair using gps for outdoor purposes by Salma, Yaakub

“…To solve that problem a simple algorithm is developed to improve the accuracy in positioning and path planning for the wheelchair. …”
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Development of robust procedures for partial least square regression with application to near infrared spectral data by Silalahi, Divo Dharma

“…The nonlinear solutions coupled with some improved robust methods such as Diagnostic Robust Generalized Potential (DRGP) method and GM6-Estimator are also introduced. …”
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Analysis and decentralised optimal flow control of heterogeneous computer communication network models by Ku-Mahamud, Ku Ruhana

“…The direct dependence of the maximum throughput on the mean time delay is also determined. The optimal local flow control with global objectives results in a team decision that does not favour any individual user, and depends only on the relative order of their packet generation rates. …”
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Single input fuzzy logic controller for yaw control of underwater remotely operated crawler by Mohd Zainal, Muhammad Iktisyam

“…Based on the computation results, SIFLC reduces the percentage of overshoot (%OS) of the system and achieve 0.121%, while other controllers (PID and FLC) 4.4% and 1.7% respectively. Even that so, this does not mean that PID and FLC are not reliable but due to the presence of %OS.…”
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Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption by Siti Aishah, Rusdan, Tarlochan, Faris, Mohamad Rusydi, Mohamad Yasin

“…This means that, in order to maximize energy absorption capability, tapered rectangular thin walled column should have 3mm thickness, aspect ratio of 0.5, and tube length of 300mm.…”
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Development and characterization of parenteral nano-delivery system loaded with azithromycin by Daood, Ghaidaa S

“…In order to achieve the optimum topologies, ANN was trained by Incremental Back-Propagation (IBP), Batch Back-Propagation (BBP), Quick Propagation (QP), and Levenberg- Marquardt (LM) algorithms for testing data set. The topologies were confirmed by the indicator of minimized root mean squared error (RMSE) for each. …”
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