Search Results - (( mobile application method algorithm ) OR ( new generation based algorithm ))
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah
Published 2022“…The method adapts the original Non-Dominated Sorting Genetic Algorithm II (NSGA-II) by introducing a hybridisation of adaptive multi-parent crossover genetic algorithm and fuzzy dominance-based decomposition techniques. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks
Published 2022“…The method adapts the original Non-Dominated Sorting Genetic Algorithm II (NSGA-II) by introducing a hybridisation of adaptive multi-parent crossover genetic algorithm and fuzzy dominance-based decomposition techniques. …”
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3
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Published 2023“…Consequently, Mobile Edge Computing (MEC) is introduced as a new paradigm to expand cloud capabilities near the end devices. …”
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Selection of access network using cost function method in heterogeneous wireless network
Published 2014“…This method covers the weight distribution and cost factor techniques.The weight distribution is used to measure different weights for existing wireless network based on the user's preference and mobile terminal power.The cost factor technique is also used to identify the cost for performing handover target by considering every network parameters and its weight.Results obtained showed that the algorithm has the ability to increase user's satisfaction compared to other algorithms, which consistently choose one accessible network.…”
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AN INVESTIGATION OF INDOOR LOCALIZATION BASED ON WI-FI FOR MOBILE USER
Published 2019“…The unknown location of the user during the positioning phase will be compared with the database that will be generated during the calibration phase. A new indoor localization system with the make use of matching algorithms is developed and analyzed.”…”
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The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…This study aimed to explore the performance of different pre-processing methods, namely Fast Fourier Transform, Short-Time Fourier Transform, Discrete Wavelet Transform, and Continuous Wavelet Transform (CWT) that could allow TL models to extract features from the images generated and classify through selected classical ML algorithms . …”
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7
Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…The clustering algorithm consists of two components: the temporal micro-clusters generation and the temporal micro clusters merging. …”
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8
Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…On top of that, the existing analysis tools and algorithms did not consider the data generated by sensory devices connected to the Internet. …”
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9
Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…The results demonstrate that the adaptation of Q-Learning with UCB exploration can significantly improve the effectiveness of the generated test cases. The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
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10
Channel Modelling and Estimation in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing Wireless Communication Systems
Published 2008“…The second issue addressed in this thesis is the channel estimation in MIMO OFDM systems. New time-domain (TD) adaptive estimation methods based on recursive least squares (RLS) and normalized least-mean squares (NLMS) algorithms are proposed. …”
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Enhance key generation algorithm based user string identity as public key
Published 2015“…This study aims to enhance a previous algorithm called the Tripathi algorithm. The Tripathi algorithm proposes an RSA based approach to generate cryptographic keys using a user’s identity, such as an E-mail address. …”
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13
Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…If t-way strategies are to be adopted in such a system, there is also a need to support test data generation based on sequence of interactions. Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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14
Development of new code for optical code division multiple access systems
Published 2011“…This work proposed algorithms for designing a new code with variable cross-correlation properties for the SAC-OCDMA system, namely, Random Diagonal (RD) code. …”
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15
Multiple case-based retrieval for university course timetabling problem
Published 2016“…The case-based retrieval technique is further enhanced and improvised into a new algorithm known as Multiple Case-based Retrieval. …”
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Designing new chaotic and hyperchaotic systems for chaos-based cryptography
Published 2019“…To investigate its performance in terms of security, a new chaos-based image encryption algorithm is also proposed. …”
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17
Starter Set Generation Based on Factorial Numbers for Half Wing of Butterfly Representation
Published 2021“…This new algorithm is still in the early stage and under development for the generation of the half wing of butterfly representation. …”
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A block cipher based on genetic algorithm
Published 2016“…In this research, we proposed a new block cipher algorithm based on genetic algorithm approach which shall meet the security requirements. …”
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19
Opposition-based Whale Optimization Algorithm
Published 2018“…In order to improve solution accuracy and reliability, this paper proposes a new algorithm based on WOA. The new algorithm called Opposition-based Whale Optimization (OWOA). …”
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Mobile robot path planning using hybrid genetic algorithm and traversability vectors method
Published 2004“…The shortest/optimal path generation is essential for the efficient operation of a mobile robot. Recent advances in robotics and machine intelligence have led to the application of modern optimization method such as the genetic algorithm (GA), to solve the path-planning problem. …”
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