Titlebook: Emerging Trends in Intelligent Computing and Informatics; Data Science, Intell Faisal Saeed,Fathey Mohammed,Nadhmi Gazem Conference proceed

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Geoffrey J. Gladstone MD, FAACSs to Langkawi Island Malaysia has been used as a sample study. Empirical results indicate that the proposed forecasting model demonstrates a superior performance to other methods in terms of forecasting accuracy.

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Surgical Anatomy of the Eyelid, (IMF) which are used to create ARIMA models. The objective of this study is to compare the effectiveness of the proposed method against GPR model in the accuracy of forecasting drought in Arau, Malaysia. It was found that the proposed model performed better compared to GPR model in all SPI studied.

OGLE

Big Data Analytics Adoption Model for Malaysian SMEsd desire that SMEs should start to adopt BDA in order to stay one step ahead of their rivals, and at the same time, to remain competitive in the market. Hence, this study aims to identify the factors influencing the adoption of BDA in Malaysian SMEs and propose a BDA adoption model for Malaysian SMEs.

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A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals is to Langkawi Island Malaysia has been used as a sample study. Empirical results indicate that the proposed forecasting model demonstrates a superior performance to other methods in terms of forecasting accuracy.

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Alexandr Stepanov,Jan Studnickauses to improve information retrieval search performance for different languages. The Arabic language is one of these languages that utilize stemming to reduce various words to their stems for both the query and corpus documents. However, most of the approaches that were based on stemming do not pro

textile

Elizabeth M. Boazak,C. Ross Ethierl demand and frequent style changes. In the recent decade, BI systems have been broadly adopted and implemented to achieve the true effectiveness of various systems and emerging technologies that are integrated to enhance the strategic, management and operational efficiency of textile and apparel in