Search Results - probable distribution ((((encryption algorithm) OR (selection algorithm))) OR (based algorithm))
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1
A Chaos-Based Substitution Box (S-Box) Design with Improved Differential Approximation Probability (DP)
Published 2018“…Therefore, this paper reports a systematic design methodology to generate chaotic S-box utilizing DDT and that can be used in multimedia encryption algorithms. DDT within the design loop is used to optimize differential approximation probability. …”
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2
A Chaos-Based Substitution Box (S-Box) Design with Improved Differential Approximation Probability (DP)
Published 2018“…Therefore, this paper reports a systematic design methodology to generate chaotic S-box utilizing DDT and that can be used in multimedia encryption algorithms. DDT within the design loop is used to optimize differential approximation probability. …”
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3
Statistical selection algorithm for peer-to-peer system
Published 2008“…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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4
Improvement and performance analysis on statistical selection algorithms
Published 2006“…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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5
Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…Furthermore, the proposed techniques based on the QLearning algorithm do not consider context-based actions. …”
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6
Improving the exploration strategy of an automated android GUI testing tool based on the Q-Learning algorithm by selecting potential actions
Published 2022“…Furthermore, the proposed techniques based on the Q-Learning algorithm do not consider context-based actions. …”
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7
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Additionally, the traffic are relying on the markers and scheduling algorithms to the service classes at the routers. The higher level priority agreements give a higher or equal probability than the lower level, this technique is perfect at a core router by scheduling algorithm. …”
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8
Fault section detection and location on distribution network using analytical voltage sags database
Published 2006“…By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. …”
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9
Energy Efficient LEACH (EE-LEACH) Routing Algorithm for Wireless Sensor Networks
Published 2019“…Therefore, this research work proposes an energy-efficient LEACH (EE-LEACH) algorithm to elect CHs based on residual energy, RSSI, and random probability to distribute the load evenly among the CHs. …”
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10
Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
Published 2017“…The prototype is evaluated based on distance between initial position and selected marble position. …”
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11
Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements
Published 2022“…With the MOS-MWO algorithm, makespan is reduced by 40%, cost also reduced by 3 % and risk probability reduced by 86%. …”
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12
Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…The proposed framework not only acknowledges the importance of data preprocessing but also offers a systematic approach to processing fuzzy random data, thus providing a robust foundation for portfolio selection algorithms. Leveraging fuzzy integers to manage fuzziness and probability distributions to address randomness, our methodology ensures the construction of reliable portfolio selection strategies. …”
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13
Portfolio optimization with percentage error-based fuzzy random data for industrial production
Published 2024“…The proposed framework not only acknowledges the importance of data preprocessing but also offers a systematic approach to processing fuzzy random data, thus providing a robust foundation for portfolio selection algorithms. Leveraging fuzzy integers to manage fuzziness and probability distributions to address randomness, our methodology ensures the construction of reliable portfolio selection strategies. …”
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14
Energy efficient cluster head distribution in wireless sensor networks
Published 2013“…For network clustering, the distribution of CH selection directly influences the networks lifetime. …”
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15
Performance Improvement of Multiobjective Optimal Power Flow-Based Renewable Energy Sources Using Intelligent Algorithm
Published 2022“…Weibull and lognormal probability distribution functions (PDFs) are respectively adopted to describe uncertainties in wind speed and solar irradiance. …”
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16
Application of Mellin-Kamal transformation in EL Gamal Ciphertext Cryptosystem / Nurul Syazwani Husairi and Nurul Aqilah Mohd Fauzi
Published 2023“…So, this study contributed to show a complete calculation and working to assist other future researchers know the complete step of the proposed scheme and reduce the probability of middle attackers and strengthen the existing algorithm with several cryptosystem integration. …”
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17
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…However, the learning complexity of classification is increased due to the expansion number of learning model. Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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18
Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
19
Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The second agent is a reliability evaluation agent that uses a recursive algorithm to predict the suitability generator based on the frequency and duration reliability indices in each state while the third agent is the storage and transfer of data between the other two agents. …”
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20
Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates
Published 2017“…Kumaraswamy distribution has a closed form of probability density function (PDF) and CDF, which makes it tractable. …”
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