Search Results - evolution evaluation techniques
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On fractional and semi-soft handover in long term evolution(LTE) networks
Published 2011“…In this paper a hybrid HO algorithms called semi-soft handover (SSHO) and fractional soft handover (FSHO) in long term evolution (LTE) system are studied. The outage probability, the main metric to evaluate handover, is compared for different handover techniques.…”
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Conference or Workshop Item -
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Dynamic risk analysis on process safety: a review of the evolution, approach, and advantages in the industry / Nurul Hazira Zizemurikan
Published 2022“…Dynamic risk assessment is a scientific technique for identifying hazards, evaluating risk, and appraising the working environment. …”
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Student Project -
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Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Published 2024“…Through experimentation on Document Understanding Conferences (DUC) datasets, the novel approach of MODE/D – WS is validated by evaluating the results using ROUGE metrics. The outcomes are twofold: a remarkable reduction in serial execution time and a noteworthy enhancement over existing techniques in the scholarly domain, as evidenced by improved ROUGE-1, ROUGE-2, and ROUGE-L scores.…”
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Article -
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. …”
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Proceeding Paper -
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Performance analysis of coordinated multipoint (CoMP) in long term evolution-advanced
Published 2014“…Coordinated Multipoint (CoMP) is a new technique introduced in Long Term Evolution-Advanced (LTE-A) to address the inter-cell interference especially the one experienced by cell-edge user. …”
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Conference or Workshop Item -
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Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…The median convergence traces have been compared with two different algorithms based on differential evolution, i:e: Ensemble of Constraint Handling Techniques (ECHT) and Stochastic Ranking Differential Evolution (SRDE). …”
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Article -
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Computational intelligence based approach for enhanced distance relay design
Published 2024text::Final Year Project -
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Robust H-infinity controller synthesis using multi-objectives differential evolution algorithm (MODE) for two-mass-spring system
Published 2011“…In this study, the optimal-tuning of the Hinfinity controller parameters using multi-objective differential evolution (MODE) technique is proposed, and apply for control of a two-mass-spring system which represents a typical benchmark robust control problem. …”
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Proceeding Paper -
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Book Chapter -
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Evaluation of fatigue damage in adhesive bonding: Part 1: Bulk adhesive
Published 2010“…Curve fitting was performed using the robust least square technique rather than ordinary linear least square technique because damage curves have extreme points (usually near the failure point). …”
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Article -
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…The Genetic Algorithm is an area in the field of Artificial Intelligence that is founded on the principles of biological evolution. Visualization techniques help in understanding the searching behaviour of Genetic Algorithm. lt also makes possible the user interactions during the searching process. …”
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Thesis -
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Performance analysis of spectrum sensing methods: A numerical approach
Published 2023Conference Paper -
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Evolution, design, and future trajectories on bipedal wheel-legged robot: A comprehensive review
Published 2023“…The analysis encompasses optimization techniques, sensor integration, machine learning, and adaptive control methods, evaluating their impact on robot capabilities. …”
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Article -
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Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm
Published 2016“…The main objective of this research is designing a Special Protection and Control Scheme (SPCS) based on a hybrid approach of combining Differential Evolution (DE) and Electromagnetism-Like algorithms. …”
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Thesis -
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Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…Finally, the performance of the proposed methods is also assessed using the performance indicators such as various error measurement criteria, detection rate and false alarm and compared with recent works. Furthermore, to evaluate the efficiency of the proposed modified differential evolution for the training of ridgelet probabilistic neural network, four statistical search techniques, namely, particle swarm optimization, genetic algorithm, simulated angling, and classical differential evolution are used and their results are compared. …”
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Hybrid localization techniques for GSM-WCDMA cellular radio system: article / Ukasyah Mahamod
Published 2013“…The proposed method has been implemented and evaluated using simulation under various mobility models. …”
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Article -
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Metric-based code smell detection technique for python software
Published 2018“…In the second phase, details of conceptual and architectural design of the metric-based technique are presented. Thirdly, PySTect technique is implemented and evaluated in three experiments. …”
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Thesis -
20
Optimization of extractive Automatic Text Summarization using Decomposition-based Multi-objective Differential Evolution and parallelization
Published 2024“…Through experimentation on Document Understanding Conferences (DUC) datasets, the novel approach of MODE/D is validated by evaluating the results using ROUGE metrics. The outcomes are twofold: a remarkable reduction in serial execution time and a noteworthy enhancement over existing techniques in the scholarly domain, as evidenced by improved ROUGE-1, ROUGE-2, and ROUGE-L scores. …”
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