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General Algorithm of n-Multiple Coil Shape for Variable Links Hyper-Redundant Robotic Manipulator by Jamali, Annisa, Khan, Md. Raisuddin, Rahman , Md Mozasser

“…In this paper, a general algorithm for n-links hyper-redundant robot manipulator to produce n-multiple coil shape to reach final desired position with variable links is presented. …”
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Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems by Sulaiman, Mohd Herwan

“…This algorithm mimics the navigation characteristics of moths in order to travel according to the fittest position. …”
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Saraf, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

“…For this purpose, we implemented four types of variable length meta-heuristic searching algorithms, namely VLBHO-Fitness, VLBHO-Position, variable length particle swarm optimization (VLPSO) and genetic variable length (GAVL), and we compared them in terms of classification metrics. …”
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Saraf, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

“…For this purpose, we implemented four types of variable length meta-heuristic searching algorithms, namely VLBHO-Fitness, VLBHO-Position, variable length particle swarm optimization (VLPSO) and genetic variable length (GAVL), and we compared them in terms of classification metrics. …”
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Sara, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

“…For this purpose, we implemented four types of variable length meta-heuristic searching algorithms, namely VLBHO-Fitness, VLBHO-Position, variable length particle swarm optimization (VLPSO) and genetic variable length (GAVL), and we compared them in terms of classification metrics. …”
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Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

“…Although Anomaly IDS might be complete, its accuracy is questionable since this approach suffers from a high false positive alarm rate and misclassification. This thesis expects an enhancement algorithm to be able to reduce a false positive alarm and misclassification rate. …”
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Monkey Algorithm for Packing Circles with Binary Variables by Torres-Escobar, R., Marmolejo-Saucedo, J.A., Litvinchev, I., Vasant, P.

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Monkey Algorithm for Packing Circles with Binary Variables by Torres-Escobar, R., Marmolejo-Saucedo, J.A., Litvinchev, I., Vasant, P.

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A Fuzzy Logic Positional-Based Controller For Sensorbased Robotic Motion Planning by Khaksar W., Yousefi M., Saharia K.S.M., Ismail F.B.

“…The designed controller defines three positional variables for destination evaluation in order to improve the path length and runtime of the solutions. …”

TUNING PROCESS OF SINGLE INPUT FUZZY LOGIC CONTROLLER BASED ON LINEAR CONTROL SURFACE APPROXIMATION METHOD FOR DEPTH CONTROL OF UNDERWATER REMOTELY OPERATED VEHICLE by Mohd Aras, Mohd Shahrieel, Jaafar, Hazriq Izzuan, Anuar , Mohamed Kassim

“…The optimum parameter will be obtained and approximately no more variable parameter can be tuned because the PSO algorithm will yield optimum parameter. …”
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Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis by Jamian, J.J., Abdullah, M.N., Mokhlis, Hazlie, Mustafa, M.W., Bakar, Ab Halim Abu

“…To overcome this problem, an efficient Global Particle Swarm Optimization (GPSO) algorithm is proposed in this paper, based on a new updated strategy of the particle position. …”
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Identification of continuous-time hammerstein model using improved archimedes optimization algorithm by Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad, Cho, Bo Wen

“…This proposed algorithm also discerned linear and nonlinear subsystem variables within a continuous-time Hammerstein model utilizing input and output data. …”
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A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer by Alsewari, Abdul Rahman Ahmed, Sinan, Q. Salih

“…The algorithm is validated based on 36 unconstrained benchmark functions. …”
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A multi-objective parametric algorithm for sensor-based navigation in uncharted terrains by Khaksar W., Sahari K.S.M.

“…Sensor-based motion planning is one the most challenging tasks in robotics where various approaches and algorithms have been proposed to achieve different planning goals. …”

Variable Structure Control of Two-Wheels Inverted Pendulum Mobile Robot by Nawawi, S.W, Ahmad, M. N., Osman, Johari H. S.

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A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

“…Although Anomaly IDS might be complete, its accuracy is questionable since this approach suffers from a high false positive alarm rate and misclassification.This project expects an enhancement algorithm to be able to reduce a false positive alarm and misclassification rate. …”
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Fine-scale predictive modeling of Aedes mosquito abundance and dengue risk indicators using machine learning algorithms with microclimatic variables by Che Dom, Nazri, Mohd Hardy Abdullah, Nur Athen, Dapari, Rahmat, Salleh, Siti Aekbal

“…This study developed fine-scale predictive models using machine learning algorithms; Artificial Neural Networks (ANN), Random Forest (RF), and Support Vector Machines (SVM) to estimate mosquito abundance and dengue risk at the species level based on daily microclimatic data (temperature, relative humidity, and rainfall) collected over 26 weeks in Kuala Selangor, Malaysia. …”
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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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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad

“…Models were tested with both complete and missing output data to evaluate the robustness of the IAOA-based method. The proposed based method identified linear and nonlinear subsystem variables in a continuous-time Hammerstein model leveraging input and output data, validated through two practical experiments: a Twin Rotor System and an Electromechanical Positioning System. …”
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Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones by Khudhayer, Wael A.

“…The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
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