Search Results - (( new evaluation method algorithm ) OR ( rate simulation based algorithm ))*
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1
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…The proposed algorithm is simulated for simultaneous OPF-based conflicting objectives, respectively. …”
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2
An efficient backoff algorithm for IEEE 802.15.4 wireless sensor networks
Published 2014“…EBA-15.4MAC is designed based on two new techniques; firstly, it updates the contention window size based on the probability of collision parameter. …”
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3
Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach
Published 2018“…Furthermore, Optimized Parametric Topology Control Routing algorithm performs significantly better than Triangular Routing Method and Change Foreign Agent Algorithm. …”
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4
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…Based on algorithm evaluation, it shows that one control method couldn’t fit to all persons as per proven in method selection experiment. …”
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5
Slight-Delay Shaped Variable Bit Rate (SD-SVBR) Technique for Video Transmission
Published 2011“…It is designed based on the Shaped VBR (SVBR) algorithm and was implemented in the Network Simulator 2 (ns-2). …”
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6
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Second, propose an Optimized Time Sliding Window based Three Colour Marker. Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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7
An efficient innovative method to decrease routing table size in packet switched networks
Published 2013“…The resulting algorithm, the ‘‘D-T-SAntNet,’’ is then simulated via Omnet++ onUUNET network topology. …”
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8
Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
Published 2024“…Considering the impact of outliers on the accuracy of estimation, both simulation and case analysis are conducted to compare the proposed algorithm against four existing methods. …”
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9
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…The simulation results show the effectiveness of the ARDE method over other conventional techniques, transcending the limits of the existing state-of-the-art algorithms in estimating the parameters of robot. …”
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10
Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…To evaluate the algorithm, we conducted two experiments. …”
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11
Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm
Published 2023“…The main idea of the proposed method is to develop a prediction model, speci‚cally an Arti‚cial Neural Network (ANN) optimized using the Guaranteed Convergence Arithmetic Optimization Algorithm (GCAOA-ANN), for predicting the utilized routing algorithm in NoC-based MPSoC platform during the DSE process. …”
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12
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
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13
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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14
Bio-signal identification using simple growing RBF-network (OLACA)
Published 2007“…The new algorithms are evaluated on a chaotic nonlinear biological based time series signals such as electroencephalographic (EEG) and electrocardiography (ECG). …”
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15
On a new transmuted three-parameter lindley distribution and its applications
Published 2024“…Moreover, the maximum likelihood estimators (MLEs) of the TTHPLD are obtained via differential evolution algorithms, and a simulation study is conducted to evaluate the consistency of the MLEs. …”
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16
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
17
Secure and Energy-Efficient Data Aggregation Method Based on an Access Control Model
Published 2019“…To ensure the reliability of our proposed method, we simulate two well-known attacks, called Sybil and sinkhole attacks. …”
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18
An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Published 2023“…The proposed machine learning algorithm extracts various trust features such as Co-Location Relationship (CLR), Co-Work Relationship (CWR), Cooperativeness-Frequency-Duration (CFD), and Reward (R) to obtain a robust trust rating of sensor devices and predict future misbehavior. …”
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19
Efficient back-off mechanism for IEEE 802.15.4 wireless sensor networks
Published 2013“…EBA-15.4MAC is based on two new important techniques; firstly, it updates he contention window size based on the probability of collision parameter. …”
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20
Efficient radio resource management through coordinated multipoint transmission and carrier aggregation for LTE-advanced / Muhammad Hasibur Rashid Chayon
Published 2018“…Extensive system-level simulations for different network scenarios have been performed by a MATLAB based simulator to evaluate the performance of the proposed method. …”
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