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Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers by Kumar, Sunil, Ratnoo, Saroj, Vashishtha, Jyoti

“…Finding optimal values for the hyper parameters of a decision tree construction algorithm is a challenging issue. …”
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Visualizing Phylogenetic Trees: Algorithms And Visual Comparison Techniques by Wan Zainon, Wan Mohd Nazmee

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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree by Hasliza, A. Rahim@Samsuddin, Ab Rahman, A. A H, Andaljayalakshmi, G., R. Badlishah, Ahmad, Wan Nur Suryani Firuz, Wan Ariffin

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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree by Rahim At Samsuddin, H. A., Ab. Rahman, A. A. H., Andaljayalakshmi, G., Ahmad, R. B.

“…This paper proposes an optimization approach for macro-cell placement which minimizes the chip area size. A binary tree method for non-slicing tree construction process is utilized for the placement and area optimization of macro-cell layout in very large scaled integrated (VLSI) design. …”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree by Hasliza, A. Rahim@Samsuddin, Ab Al-Hadi, Ab Rahman, Andaljayalakshmi, G., R. Badlishah, Ahmad, Wan Nur Suryani Firuz, Wan Arrifin

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Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat by Chia , Yu Huat

“…Shield machines, like earth pressure balance and slurry machines, are pivotal in modern tunnel construction. However, twin tunnel construction in urban areas commonly faces surface settlement (SS) issues, which threaten nearby structures. …”
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Complex word identification model for lexical simplification in the Malay language for non-native speakers by Salehah, Omar

“…This study consists of three modules, i) A Malay CWI dataset, ii) Malay CWI features with the new enhanced stemmer rules, and iii) A CWI model based on the Gradient Boosted Tree (GB) algorithm. The model is evaluated based on a state-of-the-art Malay corpus. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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A framework for classification software security using common vulnerabilities and exposures by Hassan, Nor Hafeizah

“…This inclusive of the investigation of vulnerability classification objectives,processes,classifiers and focus domains among prominent framework.Final step is to construct the framework by establishing the formal presentation of the vulnerability classification algo-rithm.The validation process was conducted empirically using statistical method to assess the accuracy and consistency by using the precision and recall rate of the algorithm on five data sets each with 500 samples.The findings show a significant result with precision's error rate or p value is between 0.01 and 0.02 with error rate for recall's error rate is between 0.02 and 0.04.Another validation was conducted to verify the correctness of the classification by using expert opinions,and the results showed that the ambiguity of several cases were subdue. …”
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Machine Learning based Predictive Modelling of Cybersecurity Threats Utilising Behavioural Data by Ting, Tin Tin, Khiew, Jie Xin, Ali Aitizaz, Lee, Kuok Tiung, Teoh, Chong Keat, Hasan Sarwar

“…The algorithms are used to construct, test, and validate three categories of cybercrime threat (Malware, Social Engineering, and Password Attack) predictive models. …”
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CSQUiD: an index and non-probability framework for constrained skyline query processing over uncertain data by Lawal, Ma'aruf Mohammed, Ibrahim, Hamidah, Mohd Sani, Nor Fazlida, Yaakob, Razali, Alwan, Ali A.

“…Given a collection of objects with uncertain data, the CSQUiD framework constructs the minimum bounding rectangles (MBRs) by employing the X-tree indexing structure. …”
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Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques by Nafees, A., Amin, M.N., Khan, K., Nazir, K., Ali, M., Javed, M.F., Aslam, F., Musarat, M.A., Vatin, N.I.

“…ML algorithms are used to predict SFC compressive strength to promote the use of green concrete. …”
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