Search Results - (( java segmentation using algorithm ) OR ( filing based learning algorithm ))
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Classification of JPEG files by using extreme learning machine
Published 2018“…The algorithm automatically classifies the files based on evaluation measures of three methods Entropy, Byte Frequency Distribution and Rate of Change. …”
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2
Improved rsync algorithm to minimize communication cost using multi-agent systems for synchronization in multi-learning management systems
Published 2017“…Remote file synchronization (RFS) is based on updating the outdated version of a file that resides on one machine to be similar to the new version of the updated file in another machine at a minimum computation time (cost). …”
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Extreme learning machine classification of file clusters for evaluating content-based feature vectors
Published 2018“…Consequently, an Extreme Learning Machine (ELM) neural network algorithm is used to evaluate the performance of the three methods in which it classifies the class label of the feature vectors to JPEG and Non-JPEG images for files in different file formats. …”
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian
Published 2019“…Also, log files are heterogenous and cannot fed them directly in machine learning algorithms. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Lexicon-based and immune system based learning methods in Twitter sentiment analysis
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Enhancement Of Static Code Analysis Malware Detection Framework For Android Category-Based Application
Published 2021“…Four types of machine learning algorithm were tested with four different kind of splitting dataset techniques separately. …”
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Using Pattern Matching technique for feature recognition of STEP file
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Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine
Published 2019“…Today, JPEG image files are popular file formats that have less structured contents which make its carving possible in the absence of any file system metadata. …”
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A review on security and privacy issues in E-learning and the MapReduce aproach
Published 2019“…Then, we proposed e-Learning using MapReduce algorithm in protecting the security and privacy of eLearning. …”
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Review on ubiquitous education system with multi-agent synchronization on mobile learning application environment
Published 2012“…The motivation of this study is based on the use of web based learning system from different institutions to embrace the concept of e-learning and m-learning. …”
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Algorithm as a problem solving technique for teaching and learning of the Malay language
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Malware detection using machine learning / Nur Wahida Kausar Abd Rahman
Published 2021“…So far, a number of static and dynamic malware classification algorithms have been reported. This study shows how malware families may be classified using a deep learning-based malware detection (DLMD) strategy based on static methodologies. …”
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16
Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Web Usage Mining for UUM Learning Care Using Association Rules
Published 2004“…In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. …”
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18
Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026“…Python 3.13 is used for dataset processing and EPDL model building. Upon converting PE files to images, the deep learning pixel-matching algorithm identifies obscured malware features. …”
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RENTAKA: A novel machine learning framework for crypto-ransomware pre-encryption detection
Published 2022“…This work describes RENTAKA, a framework based on machine learning for the early detection of crypto-ransomware.The features extracted are based on the phases of the ransomware lifecycle. …”
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