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Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa...
Published 2018“…All implemented techniques were processed simultaneously on embedded controller of the customized UAV to get real-time processed image and mapping data. …”
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Design and development of detection scheme using multiline image scanning for aerial mapping of a simulated rice paddy field and implemented on unmanned aerial vehicle / Mohamad Fa...
Published 2018“…All implemented techniques were processed simultaneously on embedded controller of the customized UAV to get real-time processed image and mapping data. …”
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Book Section -
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An improved synthetic data generation for rice yield prediction model
Published 2025“…The research proves that SCEG can create a strong synthetic dataset and enhance real-world data, with a more precise and dependable model for predicting rice output. …”
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Non-linear modelling and control of a conveyor-belt grain dryer utilizing neuro-fuzzy systems
Published 2011“…Utilizing this dryer, a real-time experiment was conducted to dry paddy (rough rice) grains. …”
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Rice husk/dust air particle sensor using zigbee wireless sensor network
Published 2013“…For a factory that directly producing a lot of dust due to its processing factor, a good air quality factor is very much needed. …”
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Eliciting expert opinion via Delphi survey / Norazian Mohamad Yusuwan … [et al.]
Published 2014“…This method has been designed as a group communication process aims to achieve a convergence of opinion on a specific real-world issue from respondents within their domain of expertise (Hsu & Sandford, 2007). …”
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Book Section -
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Systems Approach to Efficient Field Machinery Utilization for Lowland Rice Production
Published 2005“…Energy analysis for the entire production process included the operational energy consumption by field machinery and human labour, and the indirect energy accounted for by fertilizer, pesticides and seeds used, Functional relationships that allow the quantification of the different processes in the developed simulation model were formulated essentially through the use of secondary data and through curves fitting to some real data. …”
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Statistical process control in stamping process using pattern recognition approach
Published 2018“…The SPC data were directly taken from the metal-stamping process. …”
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Real-time spatial data conversion over cloud computing / Nor Hasimah Che Mat
Published 2015“…However the rapid growth of massive spatial data requires real-time data processing to achieve rapid response mechanism of the system. …”
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Automated Intelligent real-time system for aggregate classification
Published 2011“…These 3 subsystems are integrated to work in real-time mode which takes an average of 1.23 s for a complete classification process. …”
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Article -
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PriceChecker: for monitoring and reporting ceiling prices of raw cooking materials in Malaysia
Published 2025“…To address these issues, this project developed PriceChecker, a mobile application designed to empower consumers by providing real-time pricing data and enabling them to report violations directly to the authorities. …”
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Student Project -
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Modelling of a conveyor-belt grain dryer utilizing a sigmoid network
Published 2015“…As the training samples, a set of experimental input-output data was used in the model development process. This data set was collected from the conveyor-belt grain dryer during a real-time experiment to dry paddy (rough rice) grains. …”
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Conference or Workshop Item -
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Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…Clustering, known for its versatility in real-time data stream processing and independence from labeled instances, is a suitable method for analyzing evolving data streams. …”
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Thesis -
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Hybrid Anonymization Technique For Improving The Privacy In Network Data
Published 2016“…The researcher realizes that there are a few opportunities to advance this research within this domain in the near future, such as implementing a real-time based in anonymization process. Unfortunately, this type of processing needs to be revamped from the architectural design until the data processing part; and it is more thought-provoking if it were implemented in a real-time based or in the batch processing process, if the variable of the optimization is to be used in the anonymization process. …”
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Data virtualization design model for near real time decision making in business intelligence environment
Published 2017“…ETL operates at pre-defined times and requires time to process and transfer data. However, providing near real time information to facilitate the data integration in supporting decision making process is a known issue. …”
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Study of artificial neural network scheme application in manufacturing industry for monitoring-diagnosis bivariate process variation
Published 2014“…The raw data of representation generate by manufacturing industry as a real data. …”
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Processing monitoring and data acquisition / Anita Kamaruddin and Mazida Mahmud
Published 1991“…The functionalities usually include the following: 1) Graphic display of the process 2) Alarm and event management 3) Real time and historical trending 4) Report generation 5) I/O interface driver and communication facilities In this project, a process monitoring and data acquisition software package is developed for IBM PC-AT compatible computers. …”
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Student Project -
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The real interest rate differential : international evidence based on nonlinear unit root tests
Published 2008“…Overall, the empirical results are in favor of RIP using the US and Japan as the center countries but only if nonlinearities are accounted for in the data generating process. Our findings confirm that interest rate differentials, like the real exchange rates reported in recent literature, display a nonlinear mean reversion process.…”
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Working Paper -
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Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases
Published 2022“…The time-critical Internet of Things (IoT) use cases such as driverless cars and robotic surgical arms need high bandwidth and low latency for real-time intelligent data processing and trained machine learning inference. …”
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Proceeding