Search Results - (( mobile evaluation methods algorithm ) OR ( _ simulation model algorithm ))*
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1
Quality of service in mobile IP networks with parametric multi-channel routing algorithms based on linear programming approach
Published 2018“…The proposed algorithms are evaluated by considering different metrics, computation modellings, and measurements on the simulation. …”
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2
Performance evaluation of PID controller parameters gain optimization for wheel mobile robot based on bat algorithm and particle swarm optimization
Published 2019“…Kinematic model of mBot robot is used to develop a simulation model to simulate the system. …”
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3
A Fuzzy Hybrid GA-PSO Algorithm for Multi-Objective AGV Scheduling in FMS
Published 2017“…The model evaluation and validation was conducted through simulation via Flexsim software. …”
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4
Discrete simulation framework for wireless cellular networks.
Published 2008“…In order to evaluate and validate the performance of the designed simulator, a simulation model for the wireless cellular network and mobile environment deployed. …”
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5
Performance evaluation of PID controller parameters gain optimization for wheel mobile robot based on bat algorithm and particle swarm optimization
Published 2019“…Kinematic model of mBot robot is used to develop a simulation model to simulate the system. …”
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6
Performance evaluation of enhanced MANETs routing protocols under video traffics, for different mobility and scalability models using OPNET
Published 2017“…Different mobility and scalability scenarios are evaluated after simulation of network with the help of OPNET modeler simulator…”
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7
Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network
Published 2023“…The effectiveness of the clustering model is the most important challenge. The K-Means clustering algorithm is an effective algorithm for multi-clusters that can be used in VANETs. …”
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Performance evaluation of Location-Sensitive Handoff using positioning method / Azuwa Ali and Saiful Fadzli Salian
Published 2009“…Location positioning method chosen in L-SH is Observed-Time Difference of Arrival (OTDOA). Simulation model is developed and done using Matlab® in analyzing and comparing the performance of conventional handoff with L-SH. …”
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Research Reports -
9
3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control
Published 2020“…This modelling technique also allow provides visualization for user to evaluate the performance of the system. …”
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10
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
11
Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Mathematical model to formulate the algorithms is derived. The new algorithms present the existence inbound traffic burst is policed at 1200 Mbyte which is maximum allowable bandwidth while for outbound traffic burst, the policing traffic is policed at 680 Mbyte utilizes the maximum allowable bandwidth. …”
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12
A New Technique To Design Coating Structure For Energy Saving Glass Using The Genetic Algorithm
Published 2017“…This research proposed a modified regular shape which is based on the best selected regular shape, modified using genetic algorithm on the central processing unit (CPU). Genetic algorithm is a method which is easily transferred to the existing simulations and models. …”
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13
Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…Deep learning models, including U-Net, Res-UNet, and DeepLabv3+ with pre-trained backbones such as MobileNetV2, ResNet-18, ResNet-50, and Xception, were trained and evaluated along side a traditional Otsu's thresholding method as the baseline for crack detection and segmentation. …”
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Final Year Project / Dissertation / Thesis -
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GSM-WCDMA hybrid localization techniques in multilayer heterogeneous network / Muhammad Naqiuddin Hassan
Published 2013“…The proposed method has been implemented and evaluated using simulation on MATLAB software under various mobility models. …”
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15
The classification of wink-based eeg signals by means of transfer learning models
Published 2021“…It was demonstrated from the simulation investigation that the CWT model could yield a better signal transformation amongst the preprocessing algorithms. …”
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16
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…Total of ten control methods determined from population and individual data were tested against another 10 healthy persons to evaluate the algorithm performance. …”
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17
Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
Published 2016“…Considering the complexity factors, existing literature proposes static execution models for MDSM applications. The execution models are based on either standalone mobile devices, mobile-to-mobile, mobile-to-edge, or mobile-to-cloud communication models. …”
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18
Optimising Connectivity and Energy : The Future of LoRaWAN Routing Protocols for Mobile IoT Applications
Published 2025“…This study provides a comprehensive review of energy-efficient routing algorithms for LoRaWAN in mobile IoT applications. A systematic approach is employed, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, to identify, evaluate, and synthesize pertinent literature, offering an in-depth exploration of existing methodologies, their advantages and limitations, and potential avenues for future research. …”
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19
Channel Modelling and Estimation in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing Wireless Communication Systems
Published 2008“…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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20
A Mobile Application For Stock Price Prediction
Published 2021“…The evaluation methods were Root Mean Square Error and Mean Absolute Error. …”
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Final Year Project / Dissertation / Thesis
