Search Results - (( basic detection detection algorithm ) OR ( simulation optimization method algorithm ))
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Performance optimization method in OFDM based on majorization and minimization technique
Published 2019“…In this paper, we demonstrate and simulate a practical algorithm to mitigate phase noise which induces ICI .This algorithm is termed as Tight Quadratic Majorization (TQM) and is derived for phase noise estimation. …”
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Optimal resource allocation for NOMA wireless networks
Published 2022“…The major goal is to maximize the users’ maximum weighted sum rate. The suggested algorithm’s most notable feature is that it converges to the global optimal solution. …”
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WEBCAM MOTION DETECTION USINGVISUAL BASIC
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Final Year Project -
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A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell
Published 2008“…The technique utilizes the narrow phase approach in detecting collision detection of non-convex object by testing collision between basic primitive and polygon. …”
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Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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A detector generating algorithm for intrusion detection inspired by artificial immune system
Published 2015“…Artificial immune system (AIS) allows us to inspire several ideas for the design of computer intrusion detection.The standard of negative selection algorithm (NSA), offered by Stephanie Forrest in 1994, is one of the most common mechanisms in AIS that applied in anomaly detection for the similarity of its basic idea. …”
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Boundary extraction and corner point detection for map of kariah Kg. Bukit Kapar / 'Afina AmirHussin
Published 2019“…Boundary extraction and corner point detection are basic step for many image processing applications including image enhancement, object detection and pattern recognition. …”
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The effect of different distance measures in detecting outliers using clustering-based algorithm for circular regression model
Published 2017“…In this study, we proposed multiple outliers detection in circular regression models based on the clustering algorithm. …”
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Distance approximation using pivot point in narrow phase collision detection
Published 2013“…Thus, an algorithm for the optimal distance computation algorithm for continuous collision detection is shown in this paper. …”
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Shot boundary detection based on orthogonal polynomial
Published 2019“…SBD is the process of automatically partitioning video into its basic units, known as shots, through detecting transitions between shots. …”
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Real-time system for facial emotion detection using GPSO algorithm
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Working Paper -
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Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…Moreover, most of the memory test algorithm does not have the capability to detect and diagnose NPSF. …”
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Cars detection in stitched image using morphological approach
Published 2017“…The performance of the proposed cars detection algorithm could detect the cars fairly accurate. …”
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Final Year Project Report / IMRAD -
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Web Camera Application For Motion Detection
Published 2003“…In the third stage, implementation process is done by coding the motion detection software using Microsoft Visual Basic 6.0. …”
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A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system
Published 2018“…Our developed model has been compared against a basic ELM. PSO-ELM has outperformed a basic model in the testing accuracy.…”
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Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional
Published 2006“…In the first phase, two algorithms were proposed. The first is enhanced thinning algorithm that is used to thin the sketch while maintaining its topology and basic shape. …”
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Monograph -
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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
Published 2019“…As such, Intrusion Detection Systems (IDSs) have received tremendous attention from security researchers and professionals. …”
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