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How to Test the Means among Heteroscedastic Normal Populations by Abd. Rahman, Mohd Nawi

“…An alternative test is proposed for some heteroscedastic normal populations with constant coefficient of variations. To facilitate the application of the procedure, an efficient estimation algorithm is shown for its means and the corresponding variance-covariance matrix. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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Sustainable Management Of River Water Quality Using Artificial Intelligence Optimisation Algorithms by Chia, See Leng

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Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression by Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin

“…The proposed hybrid gravitational search based support vector regression HGS-SVR model was evaluated by its mean squared error (MSE), correlation coefficient (CC), and root mean square error (RMSE). …”
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A survey: Challenges of image segmentation based fuzzy c-means clustering algorithm by Alomoush W., Alrosan A., Norwawi N., Alomari Y., Albashish D., Almomani A., Alqahtani M.

A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots by Ismail, Amelia Ritahani, Tumian, Afidalina

“…The main idea in this algorithm is the indirect communication between the ants which is established by the means of pheromones in finding the shortest path between their nest and food [14]. …”
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Sequential pattern mining using PrefixSpan with pseudoprojection and separator database by Saputra, D., Rambli, D.R.A., Foong, Oi Mean

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Predicting factor of online purchasing behaviour among university students in UiTMCT / Mohd Fadzlee Mazlan by Mazlan, Mohd Fadzlee

“…Several prediction rules already been produced with high interestingness by using K-Mean clustering algorithm and Random Tree algorithm. …”
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Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri by Mohd Sabri, Norlina

“…Metaheuristic algorithms have been adapted in various engineering applications due to their efficiencies in solving complex and larger real-life optimization problems. …”
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Enhancing Oil Palm Fruit Detection: A Comparative Analysis Of Yolo Algorithms by Ainul Hakim Fizal Sabillah, Hafizal Mohamad, Sagaya Sabestinal Amalathas, Seung Hwan Won, Muhammad Hakim Ahmad Sobri

Improving robustness of artificial neural networks model using genetic algorithm by Ahmad, Arshad, Chen, Wah Sit

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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar by Md. Rasel, Sarkar

“…In addition, ANFIS approach is implemented to predict the �436�45D of wind turbine blades for investigation of algorithms performance based on Coefficient Determination (R2) and Root Mean Square Error (RMSE). …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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Denoising of digital images using second generation wavelet transforms-hidden markov model by Khmag, Asem Ib Mohamed

“…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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Surgical management of distal tibia fracture: towards an outcome-based treatment algorithm by Isnin, Rushdi, Che Ahmad, Aminudin, Abdul Ghani, Kamarul Haq, Mohd Rus, Razman

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Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination by Nallakukkala, Sirisha, Tackie-Otoo, Bennet Nii, Aliyu, Ruwaida, Lal, Bhajan, Nallakukkala, Jagadish Ram Deepak, Devi, Gayathri

“…Among these, the SVM model showed the best predictive accuracy, R2 of 0.98, with the lowest AIC (56.75), RMSE (1.50), and MAE (1.22) values, highlighting its robustness in capturing the intricate dependencies between operational parameters and removal performance. …”
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An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification by Kumar, Narender, Kumar, Dharmender

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Markov-modulated bernoulli-based performance analysis for gentle BLUE and BLUE algorithms under bursty and correlated traffic by Alsaaidah A., Fadzli M., Abdel-Jaber H., Mohd Zalisham Jali

A framework of modified adaptive neuro-fuzzy inference engine by Hossen, Md. Jakir

“…The Takagi-Sugeno-Kang (TSK) type fuzzy inference system was chosen and constructed by an automatic generation of clusters as well as membership functions and minimal rules through the use of hybrid fuzzy clustering and the modified apriori algorithms respectively. The developed TSK type fuzzy inference engine is called modified adaptive fuzzy inference engine (MAFIE) and its parameters were then adjusted by the hybrid learning algorithm using adaptive neural network architecture towards improved performance which is called MANFIE. …”
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Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

“…The utility of PJP schemes for three different traffic types shows that DPS is preferred over JT for elastic and adaptive applications. The significance of the proposed algorithm is also proven in comparison with previous approach by maintaining the same performance while reducing the backhaul load up to 30%. …”
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