Search Results - adaptive location differences ((selection algorithm) OR (encryption algorithm))
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Securing Data Using Deep Hiding Selected The Least Significant Bit And Adaptive Swarm Algorithm
Published 2024journal::journal article -
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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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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…The Sum of Absolute Different (SAD) is the matching cost’s method and some threshold adjustment were used in this thesis where the SAD’s window size of 11 and threshold value of 0.8 was selected based on the experimental results. …”
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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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5
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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Development of adaptive controlled natural gas transmission water bath heater using mathematical model / Amiruddin Amkaromi
Published 2018“…Model Reference concept has been adapted combined with an adaptive set point regulation method selected as an adaptation method. …”
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10
Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…Consequently, the proposed adaptive feature extraction technique and neighborhood-based classifier family are tightly integrated in an adaptive K-nearest neighbor classifier.…”
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Parallel computation of maass cusp forms using mathematica
Published 2013“…To facilitate the complete pullback process of this group, a point locater algorithm is developed. In this work, we present three different pullback algorithms for the surfaces we considered and carefully integrate them into our Maass cusp form algorithm. …”
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Reservoir Inflow Forecasting Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System Techniques
Published 2007“…After selecting the best ANFIS structure, the response of the model to different types of membership functions was investigated. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…Three algorithms of Linear (PURELIN), hyperbolic tangent sigmoid (TANSIG) and logistic sigmoid (LOGSIG) activation functions were selected for output layer. …”
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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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Pid-aco vibration controller with magnetorheological damper for wind turbine tower / Mahmudur Rahman
Published 2019“…It is found that wind turbine tower vibration is reduced up 72% when the damper is placed at middle of the tower and the selection of this optimal location is also based on considerations such as design complexity and maintenance cost. …”
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Performance analysis of hybrid renewable energy systems used for rural electrification in Malaysia / Laith Mahmoud Mohammad Halabi
Published 2017“…Furthermore, the development of solar radiation prediction algorithms in addition to integrating a flexible hybrid renewable energy design are presented. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…In our method, we select data that are located in untrained or “not well-learned” region and discard data at trained or “well-learned” region. …”
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