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Classification model for hotspot occurrences using spatial decision tree algorithm by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

“…As the ID3 algorithm that uses information gain in the attribute selection, the proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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Predictive models for hotspots occurrence using decision tree algorithms and logistic regression. by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

“…Furthermore, the logistic regression model outperforms the decision tree algorithms with the accuracy of 68.63%. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

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Extended spatial decision tree algorithm for classifying hotspot occurrence by Sitanggang, Imas Sukaesih

“…The proposed algorithm uses spatial information gain to choose the best splitting layer from a set of explanatory layers. …”
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Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System by Zulkifli, Abdul Hayy

“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

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A Multi-tier Model and Filtering Approach to Detect Fake News Using Machine Learning Algorithms by Yu, Chiung Chang, A Hamid, Isredza Rahmi, Abdullah, Zubaile, Kipli, Kuryati, Amnur, Hidra

“…The consensus layer acts as the final decision when collision results occur in the first two-tier layer. …”
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Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich by Bathich, Ammar

“…Accomplishment of seamless handover between macrocell layer (first tier) and femtocell layer (second tier) is one of the key challenges to attain the Quality of Service (QoS) requirements. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Neural Network Prediction of Suitability Course for Post PMR Students by Tuck, Looi

“…The findings show that the best model composes of 10 nodes in input layer; 7 nodes in hidden layer and one node in output layer. …”
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Hierarchical multi-agent system in traffic network signalization with improved genetic algorithm by Tan, Min Keng, Chuo, Helen Sin Ee, Chin, Renee Ka Yin, Yeo, Kiam Beng, Teo, Kenneth Tze Kin

“…Instead of using classical offline data-driven optimization technique in traffic network signal control, this work aims to explore the potential of implementing an online data-driven optimization technique. A dynamic modeling technique is proposed using Q-learning (QL) algorithm to online observe and learn the inflow-outflow traffic behaviors and extract the model parameters to update the evaluation model used in the fitness function of genetic algorithm (GA). …”
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Modeling the prediction of hydrogen production by co-gasification of plastic and rubber wastes using machine learning algorithms by Ayodele B.V., Mustapa S.I., Kanthasamy R., Zwawi M., Cheng C.K.

The Development And Application Of Evolutionary Computation-Based Layered Encoding Cascade Optimization Model by Neoh, Siew Chin

“…In this thesis, the research on a generic evolutionary-based layered encoding cascade optimization (LECO) model that is able to solve different kinds of optimization problems on multi-decision, multi-resolution, interactive, hybridized and multi-objective is presented. …”
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A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem by Ahmed A.N., Van Lam T., Hung N.D., Van Thieu N., Kisi O., El-Shafie A.

“…Decision making; Evolutionary algorithms; Forecasting; Heuristic algorithms; Multilayer neural networks; Nuclear reactions; Optimization; Recurrent neural networks; Stream flow; Comprehensive comparisons; Equilibrium optimizations; Meta heuristic algorithm; Multi layer perceptron; Neural network model; Reaction optimization; Streamflow forecasting; Time series forecasting; Learning to rank…”

Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) Approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie by Mohd Junaidi, Muhammad Athir, Mohd Shafie, Siti Aishah

“…The proposed ANN model consists of an input layer, hidden layer, and output layer, while it applies the tangent function (TanH) as a testing and validation algorithm in the hidden layer. …”
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Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie by Mohd Junaidi, Muhammad Athir, Mohd Shafie, Siti Aishah

“…The proposed ANN model consists of an input layer, hidden layer, and output layer, while it applies the tangent function (TanH) as a testing and validation algorithm in the hidden layer. …”
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Neural Network – A Black Box Model by Kuok, Kuok King, Chan, Chiu Po, Md. Rezaur, Rahman, Khairul Anwar, Mohamad Said, Chin Mei, Yun

“…A group of neurons forms a layer. There are three layers in ANN, namely, the input, hidden, and output layers. …”
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Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support by Abdullah S., Ismail M., Ahmed A.N., Abdullah A.M.

Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

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