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Development of scalable video compression algorithm
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An experiment of scalable video security solution using H.264/AVC and advanced encryption standard (AES): Selective cryptography
Published 2011“…In this paper, we design a new selective video encryption based on H.264/AVC and AES. In this proposed scheme, instead of encrypting the entire video stream bit by bit, only the I-frames bitstreams are encrypted. …”
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An experiment of scalable video security solution using H. 264/AVC and advanced encryption standard (AES): selective cryptography
Published 2011“…In this paper, we design a new selective video encryption based on H.264/AVC and AES. In this proposed scheme, instead of encrypting the entire video stream bit by bit, only the I-frames bitstreams are encrypted. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…In this paper, the stacking ensemble method is used to increase the accuracy of the machine learning model for LSM where the base (first-level) learners use five ML algorithms namely decision tree (DT), k-nearest neighbor (KNN), AdaBoost, extreme gradient boosting (XGB) and random forest (RF). …”
Conference Paper -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Diagnosis security problems in cloud computing for business cloud
Published 2023“…Secondly , they prefer to develop the multi-key cipher algorithm in order to manage the encryption based on the level of security. � 2005 - 2016 JATIT & LLS. …”
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Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
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