Search Results - adaptive _ difference ((((conversion algorithm) OR (function algorithm))) OR (detection algorithm))
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Enhancement of Space-Time Receiver Structure with Multiuser Detection for Wideband CDMA Communication Systems
Published 2006“…We consider two different pilot symbol assisted adaptive beamforming algorithms, Least Mean Square (LMS) and Recursive Least Square (RLS). …”
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2
Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems
Published 2016“…Adaptive algorithms used to estimate the QM’s imperfections, operate either in online or offline mode. …”
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Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee
Published 2023“…Two metaheuristic algorithms i.e., Harmony Search (HS) and Gravitational Search Algorithm (GSA), are selected to integrate separately with a Radial Basis Function Network with Dynamic Decay Adjustment (RBFN-DDA) to perform condition monitoring in industrial processes. …”
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5
Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim
Published 2016“…The data undergo the pre-processed phase which consists of edge detection, adaptive thresholding segmentation and MATLAB regionprops function for feature extraction. …”
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6
Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features
Published 2020“…The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. …”
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Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…The OpenPose motion recognition model optimized with STN and Lucas–Kanade optical flow algorithm not only exhibits superior performance in keypoint detection and pose estimation but also positively influences the physical health and functional capacity of children.…”
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Structural health monitoring using adaptive wavelet functions / Seyed Hossein Mahdavi
Published 2016“…Accordingly, in the second part of this research, the procedure of structural identification and damage detection has been developed by employing the wavelet-based method through the modified genetic algorithms (GAs) to optimally solve inverse problems. …”
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10
An adaptive face recognition under constrained environment for smartphone database
Published 2018“…Finally, this study aims to obtain high-accuracy face recognition performance under the uncontrolled environment of a smartphone database based on the proposed adaptive face recognition method that combines two new face recognition algorithms. …”
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11
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions
Published 2025“…Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”
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MRI brain tumor detection methods using contourlet transform based on time adaptive self-organizing map
Published 2023“…In this article, we propose a novel method that uses contourlet transform and time adaptive self-organizing map, optimized by the whale optimization algorithm, in order to distinguish between benign and malignant brain tumors in MRI images. …”
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14
Steg Analysis Algorithm for Edge Adaptive Least Significant Bit Matching Revisited Detection
Published 2014“…In this paper, we propose Edge Adaptive Steganalysis algorithm based on histograms of the absolute difference of adjacent pixels to detect EALMR. …”
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Block multistep methods for solving first order retarded and neutral delay differential equations
Published 2015“…The numerical solution of RDDE is then extended for solving the neutral delay differential equations (NDDE) of non-discontinuity and discontinuity cases. A new subroutine function has been added in the developed algorithm with the capabilities to approximate the neutral delay term using the interpolation of function evaluation. …”
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Cardiac abnormality prediction using tansig based multilayer perceptron
Published 2021“…This study has used a Multilayer Perceptron (MLP) network as ANN structure by being trained using three different training algorithms namely Backpropagation (BP), Lavenberg Marquardt (LM) and Bayesian Regularization (BR). …”
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IMPROVING QoS OF VoWLAN VIA CROSS-LAYER BASED ADAPTIVE APPROACH
Published 2013“…If voice quality degradation is detected, then the agent performs further rate adaptation to improve the quality. …”
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18
Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line
Published 2020“…The Random Tree relay algorithm model presented an improved average trip decision time of 18 ms compared with the standard minimum value of 20 ms recorded for the conventional relay due to eliminated communication channels. …”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. The experimental results showed promising performance in adapting the algorithm for people with different fall risk levels for fall detection.…”
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Development of a user-adaptable human fall detection based on fall risk levels using depth sensor
Published 2018“…The inclusion of the fall risk level identification, further enhanced and improved the accuracy of the fall detection. The experimental results showed promising performance in adapting the algorithm for people with different fall risk levels for fall detection.…”
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