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PREDICTION OF THE THERMODYNAMIC HYDRATE FORMATION CONDITIONS FOR METHANE GAS by Abbasi, A., Soomro, A.A., Hashim, F.M.

“…The thermodynamic conditions for hydrate formation were used to assess the plugging risk. Hydrate formation thermodynamic properties and chemical reaction were statistical analyses on developed model results. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory by Kamahazira Binti Zainal

“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”

An immunological-based simulation: A case study of risk concentration for mobile spam context assessment by Zainal K., Mohd Zalisham Jali

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System setup on jetson nano for smart crowd covid monitoring system by Muhammad Othman, Maliki

“…Labels can be downloaded in one of the many formats that are supported.…”
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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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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

“…Over the last decade, many algorithms have been developed to address this problem. …”
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Watermarking Algorithm for Medical Images Authentication by Hazzaa H.M., Ahmed S.K.

Estimating the optimal threshold value for foreign investment in Malaysia / Noorzahirah Mohd Sidek and Mahadzir Ismail by Mohd Sidek, Noorzahirah, Ismail, Mahadzir

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The influence of Robo-advisory services on Malaysia university student’s investment intention by Tan, Yung Hui, Lim, Jia Eng, Lim, Keh Xin, Zeng, Yi

“…Keywords: Robo-Advisory Services; Perceived Risk; Trust; Ease of Use; Technology Acceptance Model Subject Area: HG4501-6051 Investment, capital formation, speculation…”
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An artificial intelligence approach to monitor student performance and devise preventive measures by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

“…This research evaluates the effectiveness of machine learning algorithms to monitor students� academic progress and informs the instructor about the students at the risk of ending up with unsatisfactory result in a course. …”

Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

“…Additionally, the present study has developed a prediction model of wind speed for these three sites in Malaysia. …”
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Design, development and evaluation of a game-based learning application for room housekeeping by Tan, Fui Ming, Siti Normaziah, Ihsan, Nor Maizana, Mat Nawi, Mohd Razali, Nor Amira

“…The simulation not only allowed students to practice essential housekeeping skills but also promoted critical thinking and problem-solving within a risk-free environment. The paper concludes with a discussion on potential enhancements such as incorporating adaptive learning algorithms and multiplayer features to support collaborative learning. …”
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Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review by Krishna, S., Ridha, S., Vasant, P., Ilyas, S.U., Sophian, A.

“…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review by Krishna, Shwetank, Ridha, Syahrir, Vasant, Pandian M., Ilyas, Suhaib Umer, Sophian, Ali

“…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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A Systematic Approach to Transform Machine Learning Students� Performance Prediction Model into Preventive Procedures by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

“…The dataset is pre-processed with Pearson correlation feature selection algorithm to discover the features which influence the students� academic performance. …”

Multi-agent and artificial neural networks prediction framework development for stock investment strategy by Phang, Wai San

“…The ontology developed is not limited to just a knowledge base to store data in structured format but it plays an important role as an inference sources in the decision making of the buying and selling of stock by performing fundamental analysis. …”
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Selection of investment company based on interval neutrosophic vague heronian operator by Hashim, Hazwani, Awang, Noor Azzah, Mohamad, Siti Nurul Fitriah

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Multi agent and artificial neural networks prediction framework development for stock investment strategy by Phang, Wai San

“…The ontology developed is not limited to just a knowledge base to store data in structured format but it plays an important role as an inference sources in the decision making of the buying and selling of stock by performing fundamental analysis. …”
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