Search Results - (( initial solving cell algorithm ) OR ( using codification using algorithm ))

Search algorithms for path planning problems in harsh wireless sensor network environment by Hong, Siaw Swin

“…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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Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem by Nurhazwani, Ahmad Razak

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Parameter identification of solar cells using improved Archimedes Optimization Algorithm by Krishnan, Harvin, Islam, Muhammad Shafiqul, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid

“…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 by Samy J.A.L.A., Krishnan P.S.A.L., Kiong T.S.

The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach by Ab. Malik, Rosely, Jamil S., Mohamed

“…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

“…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 by Sabir, O., Tuan Ya, T.M.Y.S.

“…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 by Sabir, O., Tuan Ya, T.M.Y.S.

“…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 by Hussain, A., Muthuvalu, M.S., Faye, I., Zafar, M., Inc, M., Afzal, F., Iqbal, M.S.

“…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 by Teo, Kenneth Tze Kin, Yew, Hoe Tung, Lye, Scott Carr Ken, Lim, Kit Guan, Ang, Soo Siang, Khairul Anuar Mohamad, Ali Chekima, Liau, Chung Fan, Aroland Jilui Kiring

“…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 by Zainali, Muhammad Aiman

“…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 by Wan Ishak, Wan Hussain, Abdul Rahman, Shuzlina

“…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 by Mohamad Afiq, Mohd Asrul

“…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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Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani by Mirhassani, Seyedmostafa

“…In case of multiple filterbanks the cepstral features are used in different experts for performing classification based on different representation of speeches. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

“…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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