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A novel linear time corner detection algorithm
Published 2005“…We have presented a novel scheme for detecting corners of a planner object SRM05. …”
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Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
Published 2022“…The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. …”
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Application of Heuristic Algorithms for Multiuser Detection
Published 0000“…In this paper we propose application of heuristic algorithms in multiuser detection (MUD). The proposed algorithm combines a tabu search heuristic algorithm with a local search heuristic algorithm. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…In this work, a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification is proposed. …”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022“…This study proposes a novel solution for the detection of keyframes for static video summarization. …”
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Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
Published 2006“…Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. …”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…Machine learning (ML) methods are widely used in IDS. Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
Published 2022“…As a result, detecting breaches into mission-critical CPS is a top priority. …”
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Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
Published 2011“…The research is concluded with a conclusion section which recapitulates the results obtained and observations with regards to the current detection mechanisms and the applied machine learning algorithms. …”
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