Search Results - (( ((wave application) OR (vr application)) a algorithm ) OR ( web application _ algorithm ))
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Enhancing unity-based AR with optimal lossless compression for digital twin assets
Published 2024“…At the same time, 7-Zip/LZMA achieves the highest compression ratios at the cost of slower loading. Brotli emerged as a strong option for web-based AR/VR content, striking a balance between compression efficiency and decompression speed, outperforming Gzip in WebGL contexts. …”
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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The product developed is in the form of a VR application that presents learning by having a variety of learning styles. …”
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Secured mobile transaction using NFC Technology: Top-Up printing system
Published 2011“…NFC technology has become a success across a broad range of applications depending on its large- scale adoption by enterprises and consumers. …”
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Proceeding Paper -
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REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION
Published 2006“…Apparently, latency is one of the most frequently cited shortcomings of current Virtual Reality (VR) applications. To compensate latency, previous prediction mechanisms insert a complex mathematical algorithm, which may not be appropriate for complex virtual training applications. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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An algorithm for Elliott Waves pattern detection
Published 2018“…The Random Decision Forest and the Support Vector Machine are the machine learning algorithms employed for this task. The accuracy of trend prediction above 70 proves the relevancy of EW patterns on stock market data as well as the validity of the algorithm as a tool for detection of such patterns. …”
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Design and implementation of cordic algorithm with sinusoidal pulse width modulation switching strategy
Published 2017“…In addition, CORDIC algorithm has a low usage of memory space compared to Look Up table (LUT) technique. …”
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Student Project -
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Quasi linear algorithm for modelling shoreline change from AIRSAR/POLSAR polarized data
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Conference or Workshop Item -
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Market prices trend forecasting supported by Elliott Wave's theory
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Random traveling wave pulse coupled oscillator (RTWPCO) algorithm of energy-efficient wireless sensor networks
Published 2018“…As a result, it is more suitable and harder to identify demands in all applications. …”
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Text Extraction Algorithm for Web Text Classification
Published 2010“…A text extraction prototype is built using Visual C# 2008 to validate the algorithm. It is a windows application mixed with web connection protocol. …”
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A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets
Published 2022“…This study aims to use a virtual reality (VR) headset to induce four classes of emotions (happy, scared, calm, and bored), to collect brainwave samples using a low-cost wearable EEG headset, and to run popular classifiers to compare the most feasible ones that can be used for this particular setup. …”
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A new algorithm to measure relevance among Web pages
Published 2006“…To evaluate the performance, the algorithm is compared with existing algorithms. Experimental results show that RWP outperforms existing algorithms to find relevant Web pages. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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