Search Results - adapting location differences ((selection algorithm) OR (detection algorithm))
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1
Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…Comparison of this framework continue in some of the state-of-the-arts algorithm in the literature and the results is outperformed based on the proposed algorithm experimental result.…”
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Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation
Published 2024“…The K-means++ clustering algorithm generates candidate bounding boxes, adapting to defects of different sizes and selecting finer features earlier. …”
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Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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Observer-based fault detection with fuzzy variable gains and its application to industrial servo system
Published 2020“…The proposed fault detection algorithm employs a fuzzy logic-based approach with the objective of finding the appropriate observer gains that could cope with the different working conditions. …”
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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring
Published 2021“…In addition, single communication on the smart meter has limiting the location suitability of the meter. Thus, in this thesis, a new Smart Energy Meter (SEM) with adaptive data transfer algorithm is designed to accommodate the problem. …”
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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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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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Evoluation strategy for collaborative beamforming in wireless sensor networks
Published 2013“…In addition, inverse phase perturbation is introduced for the improved ES (IES) which further improved the convergence speed by 31.6 % over the C1BF approach. Adaptive-JES is proposed for time-varying channels and the results show that the Adaptive-JES has the ability to detect channel changes. …”
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9
Evolution strategy for collaborative beamforming in wireless sensor networks
Published 2013“…In addition, inverse phase perturbation is introduced for the improved ES (IES) which further improved the convergence speed by 31.6 % over the C1BF approach. Adaptive-IES is proposed for time-varying channels and the results show that the Adaptive-IES has the ability to detect channel changes. …”
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10
Securing Data Using Deep Hiding Selected The Least Significant Bit And Adaptive Swarm Algorithm
Published 2024journal::journal article -
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Furthermore, assuming the fixed location of the cloudlets will limit the dynamic adaptability of the problem. …”
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12
Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…Since it is a costly approach, we propose a detection system using Resource Allocating Network (RAN) with data selection to select essential data. …”
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COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS USING CURVELET TRANSFORM
Published 2011“…Subsequently, a region growing algorithm was used to locate the pectoral muscle and suppress it from the breast. …”
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14
Towards real-time visual biometric authentication using human face for healthcare telepresence mobile robots
Published 2016“…The biometric system proposed with hybrid algorithm at each module adapts for face images detected at different distances, poses and lighting condition. …”
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A New Method Of Speed Sensorless Control For Permanent Magnet Synchronous Motor
Published 2019“…This new speed sensorless control is based on model reference adaptive system (MRAS) with a new adaptation scheme. …”
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16
Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study
Published 2025“…The findings indicate that the proposed self-learning model based on Q-Learning can effectively identify network intrusions without requiring manual retraining, thereby offering a scalable and adaptive solution for real-time intrusion detection.…”
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Energy efficient cluster head distribution in wireless sensor networks
Published 2013“…Thus, the best selected CHs location with network global information using FLCH and PSO will be announced by the base station (BS) to the sensor nodes. …”
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A Modified Particle Swarm Optimization for Efficient Maximum Power Point Tracking Under Partial Shading Condition
Published 2024“…Therefore, a modified PSO hybridized with adaptive local search (MPSO-HALS) is designed as a robust, real-time MPPT algorithm. …”
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Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks
Published 2014“…The proposed algorithm also leverages the location dependency of the joint processing. …”
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