Search Results - (( developing emerging extraction algorithm ) OR ( java implication based algorithm ))
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…Over the last decade, many algorithms have been developed to address this problem. …”
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Development of a wearable human fall detection system
Published 2022“…In this study, an accelerometer and gyroscope sensors were installed in a wearable fall detector. A fall detection algorithm was developed using MATLAB. This algorithm will extract features from the signal sent by the sensors and conduct a series of decision-making and classification process to determine whether a fall has actually occurred. …”
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Wind farm layout design using cuckoo search algorithm
Published 2016“…In recent years, several attempts have been made to develop techniques and algorithms for optimization of wind farms. …”
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BASE: a bacteria foraging algorithm for cell formation with sequence data
Published 2010“…The bacteria foraging algorithm (BFA) is a newly developed computation technique extracted from the social foraging behavior of Escherichia coli (E. coli) bacteria. …”
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Wind Farm Layout Design Using Cuckoo Search Algorithms
Published 2016“…In the recent past, various techniques and algorithms have been developed for optimization of energy output from wind farms. …”
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024Proceedings Paper -
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PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm
Published 2024“…This paper introduces a Solar PV Smart Fault Diagnosis and Classification (SFDC) model that harnesses the Random Forest (RF) algorithm in conjunction with Cross-Validation (CV) and an optimized feature extraction (FE) set. …”
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A network based fetal ECG monitoring algorithm
Published 2011“…Individual algorithms and customized application software are developed using Visual Basic for both the networking and Fetal Heart Rate (FHR) monitoring systems. …”
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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…By leveraging image processing techniques, statistical analysis and machine learning algorithms, Python enables the extraction of relevant features and patterns from data. …”
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Student Project -
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Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…The emergence of larger databases has made image retrieval techniques an essential component, and has led to the development of more efficient image retrieval systems. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
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Final Year Project / Dissertation / Thesis -
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Sentiment analysis for airline services on Twitter using deep learning with word embedding / Mawada Mohamed Nour El Daim El Khalifa
Published 2020“…Meanwhile, in recent years, Deep Learning algorithms for Sentiment Analysis has emerged as one of the most popular algorithms, which provides automatic feature extraction, rich representation capabilities, and better performance than most of the traditional learning algorithms. …”
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Traffic monitoring system with emergency support using SOM
Published 2020“…Therefore, with the help of the vehicle emergency alarm system, the driver can stay alert and move sideways, enabling the emergency vehicle to reach the destination as soon as possible. …”
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Development and implementation of GPS for location tracking / Ahmad Ashraff Ariffin
Published 2011“…This algorithm has the ability of extract the data from GPS receiver and communicate via RS232 to test the interaction from GPS receiver. …”
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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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A review on classifying and prioritizing user review-based software requirements
Published 2024“…Investigating the potential of emerging machine learning models and algorithms to improve classification and prioritization accuracy is crucial. …”
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Towards lowering computational power in IoT systems: Clustering algorithm for high-dimensional data stream using entropy window reduction
Published 2024“…Lately, a fully online buffer-based clustering algorithm for handling evolving data streams (BOCEDS) was developed. …”
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