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A Mobile Application For Stock Price Prediction by Choy, Yi Tou

“…In conclusion, this project’s objectives were achieved by developing the mobile application for stock price prediction using the best time series algorithm evaluated, which is ARIMA.…”
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Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory by Abdulrazak Yahya, Saleh, Shahrulnizam, Medang, Ashraf, Osman Ibrahim

“…The performance of the proposed model is evaluated by comparing with the ARIMA model. …”
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Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model by Salleh, Roselina, Shamsuddin, Siti Mariyam

“…The forecasting performance was compared with several models, and these include: individual models (ARIMA, multiple regression, grey relational articial neural network), several hybrid models (MARMA, MR_ANN, ARIMA_ANN), and articial neural network (ANN) trained using levenberg marquardt algorithm. …”
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Flood forecasting for Melaka using arima and nar modelling methods by Wong, Wei Ming

“…The Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) were used to find the best ARIMA model. The second method using NAR as a flood forecast model. …”
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Pipeline Corrosion Prediction Due To Naphthenic Acid Using Auto Regressive Integrated Moving Average Method (Arima) by ALI, NURUL FATIHAH AZWANI

“…In this project, the dataset is revised and set to training and testing with the prediction model. Artificial Neural Network (ANN) and ARIMA model is used as algorithm for development of prediction model. …”
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Metocean Prediction using Hadoop, Spark & R by Sumayema, Kabir Ricky

“…The new system will be a single page reactive web application with shiny web UI containing forecasting model, ARIMA developed with R for the variables of Metocean data stored in Hadoop and spark is integrated to make the computations happen in-memory. …”
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Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China by Sattar Hanoon M., Najah Ahmed A., Razzaq A., Oudah A.Y., Alkhayyat A., Feng Huang Y., kumar P., El-Shafie A.

“…The statistical analysis and pre-processing techniques were applied to the raw data before developing the models. Five statistical indexes are employed to evaluate the performances of various models developed. …”

Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard. by Emang, Diana, Shitan, Mahendran, Abd. Ghani, Awang Noor, Mohd. Noor, Khamurudin

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Analysing the accuracy of machine learning techniques to develop an integrated influent time series model: case study of a sewage treatment plant, Malaysia by Ansari, Mozafar, Othman, Faridah, Abunama, Taher, El-Shafie, Ahmed

“…An integrated model was developed based on the individual models’ prediction ability for low, average and peak flow. …”
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Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

“…Moving Average, Decomposition, Exponential Smoothing, Time Series Regressions and ARIMA) were used.The algorithm was developed in JAVA using up to date forecasting process such as data partition, several error measures and rolling process.Successfully, the results of the algorithm tally with the results of SPSS and Excel.This automatic forecasting will not just benefit forecaster but also end users who do not have in depth knowledge about forecasting techniques.…”
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Hybrid of convolutional neural network algorithm and autoregressive integrated moving average model for skin cancer classification among Malaysian by Chin, Chee Ka, Dayang Azra, Awang Mat, Abdulrazak Yahya, Saleh

“…This paper focuses on the classification of skin cancer to identify whether it is basal cell carcinoma, melanoma or squamous cell carcinoma by using the development of hybrid convolutional neural network algorithm and autoregressive integrated moving average model (CNN-ARIMA). …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…Finally, future estimations of EEC in ASEAN-5 countries are projected up to 2030 by applying the rolling-based forecasting procedure on mathematical models derived from optimized GEP. Furthermore, EEC in ASEAN-5 countries is forecasted by autoregressive integrated moving average (ARIMA) model and first-order single-variable grey model (GM (1, 1)) and their forecasts are compared with those obtained by the proposed method.…”
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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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Forecasting road deaths in Malaysia using support vector machine by Nurul Qastalani, Radzuan, Mohd Hasnun, Arif Hassan, Anwar P.P., Abdul Majeed, Rabiu Muazu, Musa, Khairil Anwar, Abu Kassim

“…Forecasting the number of fatalities is beneficial in planning a counter measure to bring down the death toll. A predictive model of Malaysian road death has been developed using a time-series model known as auto regressive integrated moving average (ARIMA). …”
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Artificial Neural Network‑Based Prediction of Nipa Sugar Production in Sarawak, Malaysia by Muzamil, Ayoub, Ana Sakura, Zainal Abidin, Kasumawati, Lias, Imtiyaz Akbar, Najar, Rasli, Muslimen

“…The model’s performance was compared to classical time series models (ARIMA and seasonal naïve) and a decision tree regression model. …”
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Reported malicious codes incident within malaysia’s landscape: time series modelling and a timeline analysis by Muhammad Nadzmi, Md Azam

“…The data also will be forecasted to predict the trend from May 2022 until December 2024. The predictive algorithms proposed for this research are Autoregressive integrated moving average (ARIMA), Long Short Term Memory (LSTM), and NeuralProphet. …”
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Forecasting the air pollution index using artifical neural network at Muar, Johor, Malaysia / Ahmad Farid Rasdi by Rasdi, Ahmad Farid

“…Warren McCulloch and Walter Pitts developed this model by constructing a neural network computer model based on algorithms and mathematics and they are known as threshold logic. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush