Search Results - (( initial solving cell algorithm ) OR ( using vectorisation using algorithm ))
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3D silhouette rendering algorithms using vectorisation technique from Kedah topography map
Published 2004“…The vectorisation software has been used for producing these data. …”
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Search algorithms for path planning problems in harsh wireless sensor network environment
Published 2017“…Each algorithm solves its respective problem with Enhanced D* solving long initial delay in dynamic environment, NBN solves harsh conditions with limited computational power, and FWN optimized the result of TSP path planning problem with minimal computational effort. …”
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A DNA-dynamic permutation-diffusion algorithm for image encryption using scaling chaotification models and advanced DNA operations
Published 2025“…To evaluate the proposed algorithm, extensive experiments have been conducted, and results have been compared with the latest encryption algorithms. …”
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Parameter identification of solar cells using improved Archimedes Optimization Algorithm
Published 2023“…The parameters of solar cells for five PV models are identified using an Improved Archimedes Optimization Algorithm (IAOA) in this paper. …”
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Solving computational algorithm using CLONALNet technique based on artificial clonal selection
Published 2023Conference paper -
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An Automated System For Classifying Conference Papers
Published 2021“…The Knowledge Discovery in Databases (KDD) process was followed as a formal data mining methodology where 1000 AI conference papers were carefully collected, pre-processed and transformed to numerical representations through TF-IDF vectorisation. A randomised stratified 5- fold cross validation was then applied on several data mining algorithms and evaluated using the F-measure as a metric. …”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…Then, design of experiments is used to examine the sensitivity of the parameters of each solving algorithm using Taguchi method. Afterward, the proposed solving methods are verified using 17 data sets from the literature and results are analyzed. …”
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Cell by cell artificial neural network model for predicting laminar, incompressible, viscous flow
Published 2016“…In this research, a cell-by-cell artificial neural network approach is used to predict the velocity vectors of steady-state, viscous, incompressible, laminar flows in a two-dimensional computational domain. …”
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Cell by cell artificial neural network model for predicting laminar, incompressible, viscous flow
Published 2016“…In this research, a cell-by-cell artificial neural network approach is used to predict the velocity vectors of steady-state, viscous, incompressible, laminar flows in a two-dimensional computational domain. …”
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Numerical investigation of treated brain glioma model using a two-stage successive over-relaxation method
Published 2023“…This study presents the formulation the two-stage successive over-relaxation (TSSOR) algorithm based on the finite difference approximation for solving the treated brain glioma model to predict glioma cells in treating the brain tumor. …”
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An extended adaptive mechanism of evolutionary based channel assignment via reinforcement
Published 2012“…The process of channel assignment must satisfy hard-constraints such as electromagnetic compatibility (EMC) and the demand of channels in a cell. Initial channel assignment parameters are obtained using self-learning scheme and evolutionary algorithms is used to fine-tune the estimated parameters from reinforcement learning algorithm to optimise the channel assignment problem in wireless mobile networks. …”
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Handover algorithm with joint processing technique based on coordinated multipoint (COMP) transmission and reception in LTE-advanced heterogeneous network / Muhammad Aiman Zainali
Published 2020“…Therefore, when the concept of JP in CoMP allowing multiple data transmissions for each UE at any time instant comes in LTE-A system, it becomes conflicted with the concept of standard hard handover mechanism. To solve this problem, it is necessary to have a proper handover algorithm. …”
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What, how and when to use knowledge in neural network application
Published 2004“…These weights are assigned randomly or generated using other procedures such as Nguyen-Widrow initialization algorithm. After training, the weights are stored and recalled in application phase. …”
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Optimization of Microbial Electrolysis Cell for Sago Mill Wastewater Derived Biohydrogen via Modeling and Artificial Neural Network
Published 2023“…The microbial electrolysis cell (MEC) is a bioelectrochemical reactor for the production of hydrogen from the biodegradation of wastewater with low energy requirements. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The grid cell physical properties such as topography, land use, soil, and Manning’s roughness’ coefficient were extracted from published maps for discretized cells of the Klang River basin(KRB) using a GIS. …”
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