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An application of hybrid swarm intelligence algorithms for dengue outbreak prediction by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Mohsin, M. F. M., Yusof, Y., Ernawan, Ferda, Rosli, K. A. M.

“…Concerning this matter, this study presents an application of hybrid Swarm Intelligence (SI) algorithms for a dengue outbreak prediction. For simulation purposes, a monthly dengue cases time series data in the area of Indonesia were employed, which are fed to four hybrid SI algorithms, namely Moth Flame Optimization (MFO), Grey Wolf Optimizer (GWO), Firefly Algorithm (FA) and Artificial Bee Colony (ABC) algorithm. …”
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FAILURE PREDICTION OF ENGINEERING PROBLEMS USING INTERACTIVE COMPUTING NOTEBOOK ENVIRONMENT by FLORINA LING, CASTELO

“…Dimensionality reduction would extract only important features for more accurate prediction. Model performance is dramatically affected by the algorithm robustness which are the basis of this thesis. …”
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Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration by Shafika Sultan Abdullah, M.A., Malek, Namiq Sultan Abdullah, A., Mustapha

“…The capabilities of feedforward backpropagation neural networks (FFBP) in predicting reference evapotranspiration (ET0) are evaluated in this paper in comparison with the empirical FAO Penman-Monteith (P-M) equation, later a model of FFBP+Genetic Algorithm (GA) is implemented for the same evaluation purpose. …”
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Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration by Abdullah S.S., Malek M.A., Abdullah N.S., Mustapha A.

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging by Christian, Hans, Suhartono, Derwin, Chowanda, Andry, Kamal Z., Zamli

“…To date, there are many algorithms that can be used to extract embedded contextualized word from textual data for personality prediction system; some of them are based on ensembled model and deep learning. …”
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Protein structure prediction using robust principal component analysis and support vector machine by Zakaria, Nur Aini, Ali Shah, Zuraini, Kasim, Shahreen

“…With former knowledge of the structure, the quality of secondary structure, prediction of tertiary structure, and prediction function of amino acid from its sequence increase significantly. …”
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Structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector by Zhao, Cheng, Peng, Zhe, Lan, Xuefeng, Cen, Yuefeng, Wang, Zuxin

“…Themean absolute percentage error (MAPE) of the proposedmethod is 0.463, a reduction of 0.294 compared to the benchmark attention algorithm. Additionally, the market backtesting results indicate that the return was 24.560, an improvement of 8.202 compared to the benchmark algorithm. …”
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Neural network diagnostic system for dengue patients risk classification by Faisal, T., Taib, M.N., Ibrahim, Fatimah

“…By employing those predictors, 75 prediction accuracy has been achieved for classifying the risk in dengue patients using Scaled Conjugate Gradient algorithm while 70.7 prediction accuracy were achieved by using Levenberg-Marquardt algorithm. …”
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Prediction of breast cancer relapse time in continuous scale based on type-2 TSK fuzzy model by Mahmoudian, Sayed Hamid

“…The relapse time of two available independent samples of breast cancer have been predicted by the model and the results show the superiority of the proposed model with respect to the previous study. …”
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Leveraging data lake architecture for predicting academic student performance by Abdul Rahim, Shameen Aina, Sidi, Fatimah, Affendey, Lilly Suriani, Ishak, Iskandar, Nurlankyzy, Appak Yessirkep

“…With its parallel processing capabilities, this centralized data repository facilitates the training and evaluation of various machine learning models for prediction. In addition to forecasting the student performance, appropriate machine learning algorithms such as Support Vector Classifier, Naive Bayes, and Decision Trees are used to build prediction models by using the data lake's scalability and parallel processing capabilities. …”
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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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Prediction of epidemic trends in COVID-19 with Mann-Kendall and recurrent forecasting-singular spectrum analysis by Shazlyn Milleana Shaharudin, Shuhaida Ismail, Mohd Saiful Samsudin, Azman Azid, Mou, Leong Tan, Muhamad Afdal Ahmad Basri

“…This indicates RF-SSA’s competence to predict the impending number of COVID-19 cases. The proposed model predicted that Malaysia would hit single digit in daily confirmed cased of COVID-19 by early-June 2020. …”
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Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

“…However, the database of ARIMA model when became updated with each prediction step showed that results were dramatically better than the simple ARIMA model with 0.48 improvement in overall index. …”
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Google the earth: what's next? by Mansor, Shattri

“…Applications of this knowledge, from natural hazard prediction to resource management, have already proven their benefit to society many times over. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues by Mohammadmehdi Saberioon, Asa Gholizadeh, Petr Cisar, Aliaksandr Pautsina, Jan Urban

“…Demands of aquatic products are increasing dramatically during past decades. Also quality assurance has gradually received more attention by both producers and consumers. …”
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A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings by Norazam, Nur Muhamad Afif, Mohd Noh, Hamidun, Ishak, Mohd Hafizal, Zulkefli, Nursyazwani, Jumali, Muhammad Arif, Brown, Jeffery Jep

“…Findings reveal that Model Predictive Control (MPC) algorithms achieve a 35.9% improvement in coefficient of performance compared to conventional Proportional-Integral-Derivative (PID) controllers, with energy consumption reductions of 23% - 30% across various building types. …”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.] by Abd Rahman, Abdullah Sani, Meutia, Rita, Hamid, Yusnaliza, Abdul Rahman, Rahayu

“…The results show that all the three machine learning algorithms produced high accuracy (above 95%) prediction results based on the hold-out testing dataset. …”
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Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari by Sattari, Mohammad Reza Jabbarpour

“…Over the last decade, vehicle population has dramatically increased all over the world. This large number of vehicles coupled with the limited capacity of the roads and highways lead to heavy traffic congestion. …”
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Simulation of quantum growing network / Ong Boon Teong by Ong , Boon Teong

“…Remarkably this new theory predicts that quantum computers can perform tasks exponentially faster than any conventional computer. …”
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