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A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil
Published 2021“…Malaysia is a significant export country of palm oil to all over the world. …”
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A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm
Published 2016“…In this paper, as an alternative to previous methods, we propose a new flower pollination algorithm with remarkable balance between consistency and exploration for NN training to build a model for the forecasting of petroleum consumption by the Organization of the Petroleum Exporting Countries (OPEC). …”
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Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm
Published 2015“…Limitations of the previous methods of predicting CO2 emissions and lack of work on the prediction of the Organization of the Petroleum Exporting Countries (OPEC) CO2 emissions from petroleum consumption have motivated this research. …”
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Estimating the optimal threshold value for foreign investment in Malaysia / Noorzahirah Mohd Sidek and Mahadzir Ismail
Published 2012“…In the past, GDP growth in Malaysia is supported by the influx of foreign direct investment which fuels the export-oriented industries. Domestic investment in terms of infrastructure and human capital development further enhance the influx of foreign direct investment into Malaysia. …”
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Investment, trade and exchange rates / Noor Zahirah Mohd Sidek and Mahadzir Ismail
Published 2012“…The final outcome of this study is the formation of a generic theoretical model which is applicable, at least, in developing countries.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Integrating finance dictionary in lexicon-based approach with machine learning algorithm to analyse the impact of OPEC news sentiment on financial market / Wu Ling
Published 2020“…Since last few decades, machine learning algorithm which trains computers to learn from experience, is one of the most rapidly developing techniques which settles in the intersection research field of statistics and computer science. …”
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area
Published 2005“…This study finding is undeniable imperative and it bestows the first algorithmic yield-loss model of crop to ozone in this country, ever.…”
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