Search Results - (( model validation learning algorithm ) OR ( based information stemming algorithm ))*

Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining by Termedi @ Termiji, Mohammad Izzuan

“…It proceeds through three phases of Need Analysis, Development of the Model and Evaluation of the Model. Four different data mining classification algorithms which are Random Forest, PART, J48 and Naive Bayes will be used on the dataset. …”
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Incorporating stemming algorithm in the Malay information retrieval that employs Thesaurus aproach / Mohd Rosmadi Mokhtar by Mokhtar, Mohd Rosmadi

“…This project incorporates the ROA stemming algorithm with thesaurus approach by Rapizal. …”
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Pashto language stemming algorithm by Aslamzai, Sebghatullah, Saidah Saad

“…Therefore, the objective of the current thesis is to develop a rule-based stemming algorithm for the Pashto language. …”
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Incorporating thesaurus in searching relevant ayat from the translated Al-Quran / Wan Iznif Wan Ibrahim by Wan Ibrahim, Wan Iznif

“…This project incorporates the Rules Application Order (RAO) stemming algorithm with thesaurus approach by Rapizal. …”
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Searching Malay text using stemming algorithm by Saian, Rizauddin, Ku-Mahamud, Ku Ruhana

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Web information retrieval (IR) interaction / Amirohaime Mahaidin by Mahaidin, Amirohaime

“…Web information interaction retrieves the relevant website to user and applied stemming algorithm. …”
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Modeling and validation of base pressure for aerodynamic vehicles based on machine learning models by Quadros, Jaimon Dennis, Khan, Sher Afghan, Aabid, Abdul, Baig, Muneer

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A word stemming algorithm for Hausa language by Muazzam, Bashir, Azilawati, Rozaimee, Wan Malini, Wan Isa

“…However, there is a limited or unavailable study to stemming in the language. Stemming refers to the systematic way of reducing a word to its base or root form. …”
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Position score weighting technique for mining web content outliers. by Mustapha, Norwati, Mustapha, Aida

“…The stemming algorithm was usually used to reduce derived words to their stem, base or root form. …”
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A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model by Ouwabunmi, Babalola AbdulHafeez

“…This study presents the development and evaluation of a novel hybrid machine learning algorithm that integrates the strengths of Random Forest and Gradient Boosting models to enhance the prediction of smORFs. …”
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Prediction of Machine Failure by Using Machine Learning Algorithm by Fakhrurazi, Nur Amalina

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Evaluation of the Transfer Learning Models in Wafer Defects Classification by Jessnor Arif, Mat Jizat, Anwar, P. P. Abdul Majeed, Ahmad Fakhri, Ab. Nasir, Zahari, Taha, Yuen, Edmund, Lim, Shi Xuen

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Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm by Ashraf, Erum

“…It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. …”
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A knowledge based system for automatic classification of web pages by Fathy, Sherif Kassem

“…The paper describes design and implementation of a new knowledge based system for Automatic Information Retrieval DataBase (AIRDB).AIRDB helps the end-user to cluster and classify web pages on the basis of information filtering combined with an Artificial Neural Network (ANN).The classification depends mainly on keyword indexes.A large sample set consists of 11043 web pages of several formats are collected automatically and randomly from various resources.The AIRDB feature selection algorithm is summarized.The feature selection depends upon stemming words of web page. …”
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Green building valuation based on machine learning algorithms / Thuraiya Mohd ... [et al.] by Mohd, Thuraiya, Jamil, Syafiqah, Masrom, Suraya, Ab Rahim, Norbaya

“…In the cycle of Industrial Revolution 4.0 (IR 4.0), many issues in the industries can be solved with implementation of artificial intelligence approaches, including machine learning models. Designing an effective machine learning model for prediction and classification problems is a continuous effort. …”
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Suicide and self-harm prediction based on social media data using machine learning algorithms by Abdulrazak Yahya, Saleh, Fadzlyn Nasrini, Mostapa

“…Researchers applied a machine learning models to a previously published Instagram dataset of youths. …”
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Prediction of blood-brain barrier permeability of compounds by machine learning algorithms by Feng, Tan wei, Raihana Zahirah, Edros, Ngahzaifa, Ab Ghani, Siti Umairah, Mokhtar, Dong, Ruihai

“…Since the CNS is often inaccessible to many complex procedures and performing in-vitro permeability studies for thousands of compounds can be laborious, attempts were made to predict the permeation of compounds through BBB by implementing the Machine Learning (ML) approach. In this work, using the KNIME Analytics platform, 4 predictive models were developed with 4 ML algorithms followed by a ten-fold cross-validation approach to predict the external validation set. …”
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Wavelet network based online sequential extreme learning machine for dynamic system modeling by Mohammed Salih, Dhiadeen, Mohd Noor, Samsul Bahari, Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil

“…Wavelet network (WN) has been introduced in many applications of dynamic systems modeling with different learning algorithms. In this paper an online sequential extreme learning machine (OSELM) algorithm adopted as training procedure for wavelet network based on serial-parallel nonlinear autoregressive exogenous (NARX) model. …”
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Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

“…This paper proposes a sophisticated Job Position Prediction system utilizing Machine Learning algorithms and leveraging data from LinkedIn profiles. …”
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Semantic query translation for Quran content retrieval / Mohd Amin Mohd Yunus by Mohd Amin , Mohd Yunus

“…The specific objectives of the study are i) to develop algorithm of query expansion based on stemming, semantic and translation query in cross language Quranic retrieval, ii) to develop a prototype of cross language Quranic retrieval system for Malay, English and Arabic based on Stemmed Semantic Translated Query (StSTQ), iii) to evaluate the performance of the prototype system of the cross language Quranic retrieval. …”
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