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A novel hybrid evolutionary mating algorithm for Covid19 confirmed cases prediction based on vaccination by Ahmed, Marzia, Ahmad Johari, Mohamad, Rahman, Mostafijur, Mohd Herwan, Sulaiman, Abul Kashem, Mohammod

“…Anticipating a positive COVID-19 occurrence helps in determining risks and creating countermeasures. As a result, developing robust mathematical models with small error margins for predictions is crucial. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani by Abdul Ghani, Nur Syafiqah

“…The results have shown that the Ant Colony Optimization Algorithm produced a better predictive accuracy. Therefore, it is confirmed that the Ant Colony Optimization Algorithm produces the most accurate result in predicting bankruptcy. …”
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Prediction analysis of COVID-19 in Selangor by using Backpropagation Algorithm with Conjugate Gradient Method by Noor Amirah Ajmal Khan, Siti Mahani Marjugi

“…From the output of testing data, the number of predicted confirmed COVID-19 patients can be determined.…”
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Prediction analysis of COVID-19 in Selangor by using backpropagation algorithm with conjugate gradient method by Ajmal Khan, Noor Amirah, Marjugi, Siti Mahani

“…From the output of testing data, the number of predicted confirmed COVID-19 patients can be determined.…”
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Predicting pneumonia and region detection from X-Ray images using deep neural network by Sheikh Md, Hanif Hossain, S M, Raju, Ismail, Amelia Ritahani

“…Along the way, many machine learning algorithms have been proposed to predict and identify various kinds of diseases. …”
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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

“…The RF-SSA model was developed to measure and predict daily COVID-19 cases in Malaysia for the coming 10 days using previously-confirmed cases. …”
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Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction by Milad, A.A., Adwan, I., Majeed, S.A., Memon, Z.A., Bilema, M., Omar, H.A., Abdolrasol, M.G.M., Usman, A., Yusoff, N.I.M.

“…The developed hybrid algorithms regression model achieved acceptable and better prediction results with a coefficient of determination (R2) of 0.96. …”
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Deep learning in public health: Comparative predictive models for COVID-19 case forecasting by Muhammad Usman Tariq, Muhammad Usman Tariq, Ismail, Shuhaida

“…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. …”
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A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models by Khan I., Ahmad A.R., Jabeur N., Mahdi M.N.

“…It confirms the significance of dynamic attributes for student performance prediction models. � 2021. …”

The prediction of stock management for Farmasi Chendering by Gamal, Nurul Fatihah

“…This project focuses on Farmasi Chendering, aiming to develop a predictive stock management system using ABC-VEN analysis and the J48 decision tree algorithm. …”
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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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Optimized adaptive neuro-fuzzy inference system using metaheuristic algorithms: Application of shield tunnelling ground surface settlement prediction by Liu, Xinni, Hussein, Sadaam Hadee, Kamarul Hawari, Ghazali, Tung, Tran Minh, Yaseen, Zaher Mundher

“…Among all the developed hybrid models, ANOFS-PSO model achieved the best predictability performance. …”
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Metaheuristic algorithms applied in ANN salinity modelling by Khudhair, Zahraa S., Zubaidi, Salah L., Dulaimi, Anmar, Al-Bugharbee, Hussein, Muhsen, Yousif Raad, Putra Jaya, Ramadhansyah, Mohammed Ridha, Hussein, Raza, Syed Fawad, Ethaib, Saleem

“…The principal finding here confirms that hybrid-based outperformed four single-based algorithms based on different criteria. …”
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Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach by Nilashi, Mehrbakhsh, Yadegaridehkordi, Elaheh, Ibrahim, Othman, Samad, Sarminah, Ahani, Ali, Sanzogni, Louis

“…To develop the recommendation method, we use clustering and prediction machine learning techniques. …”
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New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

“…These findings underscore the efficacy of GBO and its competitive edge in achieving accurate time-series predictions when compared to a diverse set of algorithms. …”
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Short-term forecasting of daily confirmed COVID-19 cases in Malaysia using RF-SSA model by Shaharudin, Shazlyn Milleana, Ismail, Shuhaida, Hassan, Noor Artika, Tan, Mou Leong, Sulaiman, Nurul Ainina Filza

“…Recently, a forecastingmodel was developed tomeasure and predict COVID- 19 cases in Malaysia on daily basis for the next 10 days using previously-confirmed cases. …”
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Development of noise induced hearing loss prediction model using artificial neural network / Siti Fairus Mohd Zain by Mohd Zain, Siti Fairus

“…Despite the high incidence reported, studies in the method of predictive modelling causes were limited. Hence, this research proposed the development of Artificial Neural Network (ANN) as a tool to identify and predict risk factors contributed to NIHL. …”
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Implementation of machine learning algorithms for streamflow prediction of Dokan dam by Sarmad Dashti Latif, Mr.

“…This study aims at comparing the application of deep learning algorithms and conventional machine learning algorithms for predicting reservoir inflow. …”

A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi by Nassirtoussi, Arman Khadjeh

“…Every context requires its own customized text mining algorithms in order to achieve best results. The specific context of this research is market prediction for the foreign exchange market. …”
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Predicting YSPSAH's product preferences across department of private hospitals by Abd Malik, Nur Aisyah Syahirah

“…This project aimed to develop a predictive model to forecast departmental product preferences and the addition is to identify the crossselling product opportunities using Market Basket Analysis (MBA). …”
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