Search Results - (evolutionary OR evolution) ((communication technique) OR (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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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. …”
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Proceeding Paper -
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Computational intelligence based approach for enhanced distance relay design
Published 2024text::Final Year Project -
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Hybrid localization techniques for GSM-WCDMA cellular radio system: article / Ukasyah Mahamod
Published 2013“…Location Based Services (LBS) is an important features in the cellular radio network such as Global System for Mobile Communications (GSM), Wideband Code Division Multiple Access (WCDMA) and Long Term Evolution (LTE). …”
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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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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…Thus, the combination of priority provides flexibility for the technique in achieving an optimal load shedding. The performance of the proposed UFLS technique is evaluated on two scenarios i.e event and response based through simulation studies on the 1 lkV Malaysia distribution network. …”
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Thesis -
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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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Hybrid localization techniques for GSM-WCDMA cellular radio system / Ukasyah Mahamod
Published 2013“…Location Based Services (LBS) is an important features in the cellular radio network such as Global System for Mobile Communications (GSM), Wideband Code Division Multiple Access (WCDMA) and Long Term Evolution (LTE). …”
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Thesis -
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Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
Published 2023“…According to the simulation results, the proposed EMA-DL algorithm was found to outperform all the other compared algorithms based on the evaluated metrics. Thus, it can be employed as a proficient technique to accurately estimate the state of charge (SOC) of electric vehicle batteries.…”
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Article -
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The development of simulation model and location accuracy for observed time difference of arrival in WCDMA and LTE system / Noranizah Sarbani
Published 2013“…Obtaining and delivering user location in Long term Evolution (LTE) technology are various methods that help Communication Service Providers (CSPs) monetize and optimize their networks. …”
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Thesis -
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LEMABE: a novel framework to Improve analogy-based software cost estimation using learnable evolution model
Published 2021“…Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. …”
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The development of simulation model and location accuracy for observed time difference of arrival (OTDOA) positioning technique in WCDMA and LTE system: article / Noranizah Sarbani
Published 2013“…Obtaining and delivering user location in Long term Evolution (LTE) technology are various methods that help Communication Service Providers (CSPs) monetize and optimize their networks. …”
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Article -
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems
Published 2025“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Differential evolution (DE) is a simple yet powerful evolutionary algorithm (EA). …”
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Thesis -
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Performance study of fractional frequency reuse in ofdma network / Mohamad Hussain F Snosi
Published 2017“…Long Term Evolution (LTE) technology is considered as the most possible candidate for recent generation mobile communications. …”
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Thesis -
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Loss minimization in power system utilizing Multiagent Immune Evolutionary Programming (MAIEP) technique / Aziz Mat Ramly
Published 2011“…Thus, this paper presents the enhancement of loss minimization in power system through optimal RPP using an optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP) technique. …”
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Thesis -
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Investigation on methods of reducing high peak-to-average power ratio in MIMO-OFDM
Published 2021“…There are many PAPR reduction techniques proposed by the previous researchers such as coding, phase-rotation, and clipping method. …”
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Proceedings
