Search Results - (( basic detection device algorithm ) OR ( java application tree algorithm ))
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Thalassaemia detection using CBR Algorithm via mobile device
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Undergraduates Project Papers -
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…Moreover, most of the memory test algorithm does not have the capability to detect and diagnose NPSF. …”
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Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Article -
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Wifi positioning system / Amalina Abdul Halim
Published 2006“…With development of mobile computing devices and wireless technique, location detection system is used to determine users location either in indoor or outdoor environment that relies on WiFi signal strength. …”
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Student Project -
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Empirical study on intelligent android malware detection based on supervised machine learning
Published 2020“…The increasing number of mobile devices using the Android operating system in the market makes these devices the first target for malicious applications. …”
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Article -
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Visual tracking and servoing of human face for robotic head Amir-II
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Proceeding Paper -
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Development of automated neighborhood pattern sensitive fault syndrome generator for SRAM
Published 2012“…With the increasing complexity of memory devices, fault diagnosis is becoming as important as fault detection. …”
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Conference or Workshop Item -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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Speed detection of moving vehicle using normal camera
Published 2012“…With a typical video camera and normal computer, a speed detection device can be created. By using basic scientific velocity theory, the speed of moving vehicle in the video can be calculated from the known distance and time, which the vehicle has moved beyond.…”
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Undergraduates Project Papers -
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Tracking and counting motion for monitoring food intake based on depth sensor
Published 2020“…Previous studies have shown that most of the methods used to count food intake device is worn device type. The recent trend is now going towards non-wearable devices due to the difficulty when wearing devices and it has high false alarm ratio. …”
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Thesis -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Conference or Workshop Item -
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Development of high speed booth multiplier with optimized stuck-at fault implementation
Published 2002“…Multiplier is a basic device in many digital systems such as signal processor, calculator and micro controller. …”
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Conference or Workshop Item -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Article -
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Development of an intelligent multimodal biometric system for household appliances control
Published 2012“…However, the existing spectra of biometric devices in real world application are contact-based devices and are mostly unimodal systems. …”
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Monograph -
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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