Search Results - (( cover selection methods algorithm ) OR ( based information based algorithm ))
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1
Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm
Published 2023“…Therefore, this research proposed a new method for optimising cover audio selection for audio steganography using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which falls under the MOEA Pareto dominance paradigm. …”
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Article -
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Enhancement Of Cover Selection – Based Audio Steganography (CAS) Using Block-Based Chaotic Multi – Level Lsb (BCM– LSB) For Balanced Performance
Published 2024thesis::doctoral thesis -
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Despite attempts to solve the data clustering issues, there are also many variants of modified algorithms in traditional information clustering that attempt to solve issues such as clustering algorithms based on condensation. …”
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Static image of hand gesture for numerical sign language recognition system using backfrofagation neural network / Erman Ibrahim
Published 2007“…A study on the research and development of the previous project based on pattern recognition has been done as a result selected; method, theory and techniques will be gathered in order to perform a hand gesture for sign language recognition system. …”
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A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area
Published 2016“…Determining the best method for mapping with a specific data source and study area is a major challenge because of the wide range of classification algorithms and methodologies available. …”
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Systematic literature review: Trend analysis on the design of lightweight block cipher
Published 2024journal::journal article -
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Artificial bee colony for inventory routing problem with backordering
Published 2014“…We modify the standard ABC algorithm by incorporating the inventory and backorder information and, a new inventory updating mechanism incorporating the forward and backward transfers. …”
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Conference or Workshop Item -
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Spectral discrimination and index development of roofing materials and conditions using field spectroscopy and worldview-3 satellite image
Published 2016“…Three feature selection algorithms of Genetic Algorithm (GA), Support Vector Machine (SVM) and Random Forest (RF) were used to select the most significant wavelengths since the algorithms works well with large size of data and widely applied for feature selection of hyperspectral remote sensing data. …”
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Image steganography for encryption over network security
Published 2017“…The performance of the image steganography method has been evaluated based on the quality of cover image with stego image, robustness and capacity of data hidden in the stego image. …”
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Student Project -
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A predictive approach to improve a fault tolerance confidence level on grid resources scheduling
Published 2008“…On the other hand, since many methods use from GIS information to learn about resources, so they cannot powerfully select optimal nodes because the GIS don't cover all information about grid resources. …”
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Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain
Published 2017“…The closest selection of digits substitution reduces the differences error between cover and stego-pixels. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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14
A new secure storing system for biometric templates based encryption and concealment
Published 2015“…In the other hand a new concealment method proposed by combine two of the popular methods DWT and DCT for embedding and extraction the secret data in order to compensate the drawbacks of both of them and to make the hidden information much more secure against the attacks, wavelet transform which use dyadic filters to decompose cover image into 4-levels (HH, HL, LH and LL) and discrete cosine Transforms to convert a signal of the selected coefficients (HH, HL and LH) into elementary frequency components then according to the percentages entering by a user the encrypted data will distribute. …”
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Termite mounds morphometry in predicting groundwater potentiality using geospatial technology
Published 2020“…Thereafter, twelve (12) groundwater conditioning factors (GCFs) (geology, drainage density, lineament density, lineament intersection density, land use/land cover, topographic wetness index (TWI), normalized difference vegetation index (NDVI), slope, elevation, plan curvature, static water level and groundwater level fluctuation) were passed through a feature selection filter (Correlation-based feature selection using the best first algorithm) to select the optimum groundwater control factors (GCFs) for groundwater prediction in the study area. …”
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…There was not enough information available on the implementation of neural networks and genetic algorithm for the prediction and selecting input variables in oil palm yield and output energy. …”
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Imaging of solid flow in a gravity flow rig using infra-red tomography
Published 2005“…The hardware development process covers the infra-red sensor selection, fixtures and signals conditioning circuits, and control circuits. …”
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Facial age range estimation using geometric ratios and hessian-based filter wrinkle analysis
Published 2016“…The Hessian-Based Filter is used to enhance wrinkle analysis for age range estimation method. …”
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Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
Published 2025“…By incorporating these bands, the models were able to influence the spectral information captured by each band to classify the LULC categories accurately. …”
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Groundwater quality assessment and optimization of monitored wells using multivariate geostatistical techniques in Amol-Babol Plain, Iran
Published 2015“…Groundwater quality assessment based on the data obtained from arbitrary sampling wells might be presented redundant or shortage of information. …”
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