Search Results - adaptive under different ((extraction algorithm) OR (encryption algorithm))
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An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The evaluation results showed that the Improved AKF algorithm achieved better compression ratio and retained sufficient information in the extracted action key frames under different testing video shots. …”
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Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron
Published 2017“…Meanwhile, the existing harmonics extraction algorithm known as modified Widrow- Hoff adaptive linear neuron (ADALINE) algorithm, still has unnecessary features which unfortunately disturbs performance of the algorithm to extract harmonics accurately in both steady-state and dynamic operations. …”
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The development and implementation of web content adaptation and negotiation based on user, device and network profiles / Harizah Sazali
Published 2006“…Based on the experiment results, it is proved that content adaptation under e-learning environment can be achieved by the algorithms effectively.…”
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Unified neural network controller of series active power filter for power quality problems mitigation
Published 2013“…The first and core unit of the controller utilizes adaptive neural network algorithm to extract fundamental component of the supply voltage and detach the present voltage harmonic. …”
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The noise reduction algorithm for star detection
Published 2025“…To validate the algorithm, synthetic star images with different noise levels were tested. …”
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An adaptive face recognition under constrained environment for smartphone database
Published 2018“…Experimental results showed that the recognition rate achieved 100% under different environment conditions.…”
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Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of a flotation process
Published 2016“…Furthermore, the metallurgical parameters of a laboratory flotation cell were successfully predicted from the extracted froth features. In this research study, the fuzzy c-mean clustering technique is utilized to classify the froth images (collected under different process conditions) based on the extracted visual characteristics. …”
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…These parameters are used to develop a standalone intelligently machine learning adaptive distance relay (ML-ADR) modification. The intelligent algorithm ML-ADR fault classifier model could discriminate 10 different far-end short circuit fault types from two network topology changes with and without midpoint integrated STATCOM on the Matlab/Simulink power grid system model. …”
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…Consequently, the proposed adaptive feature extraction technique and neighborhood-based classifier family are tightly integrated in an adaptive K-nearest neighbor classifier.…”
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…However, the performances of existing methods were still limited under high differences illumination conditions especially for uncontrolled lighting sources. …”
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A novel lip geometry approach for audio-visual speech recognition
Published 2014“…First, this work presents a new method to extract lip geometry features using the combination ofa skin colour filter, a border following algorithm and a convex hull approach. …”
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Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani
Published 2015“…This method is capable of aggregating information obtained with different filterbanks for speech recognition under noisy environments. …”
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Real-time oil palm fruit bunch ripeness grading system using image processing techniques
Published 2013“…Feature extraction for oil palm FFB colour, texture, and thorns was implemented by using statistical colour features, colour histogram, grey-level co-occurrence matrices (GLCM), basic grey level aura matrix technique (BGLAM), and Gabor wavelet techniques on the three different regions of interest (ROIs), namely, ROI1, ROI2, and ROI3. …”
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