Search Results - (( rainfall distribution factor algorithm ) OR ( re evaluation focus algorithm ))
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Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah
Published 2017“…So, in this study clustering algorithm on rainfall distribution dataset is done using WEKA 3.8 software. …”
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…Based on the initial study conducted, there are 6 factors that have the potential to influence the number of DHF cases in an area, namely temperature (X1), rainfall (X2), population density (X3), altitude (X4), distribution of males (X5), and distribution of education level (X6). …”
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Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review
Published 2021“…Most of them either focused on solving newly re-formulated problems or on proposing new approaches, while a number of studies performed reviews and comparative studies on the performance of proposed algorithms. …”
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Optimal allocation and sizing of capacitor bank and distributed generation using particle swarm optimization
Published 2021“…The PSO algorithm allocates and determines the size of the capacitor and distributed generation in the power system. …”
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State-Aware re-configuration model for multi-radio wireless Mesh Networks
Published 2017“…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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The use of radar-rainfall inputs for quantitative precipitation estimation (QPE) in Klang River Basin / Suzana Ramli
Published 2015“…Flooding is a natural disaster that often occurs in Malaysia due to its heavy rainfall distribution. Lately, the exceptional amount of rainfall worsens the flood situation. …”
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Design of intelligent Qira’at identification algorithm
Published 2017“…A combination of Principal Component Analysis (PPCA) and Gaussian Mixture Model (GMM) is proposedly in used for the classification phase as it is able to reduce any redundancy from the latent variables and carries only the most important information through dispersion of entropy. To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Rain models for the prediction of fade duration at millimeter wavelengths
Published 2006“…Another factor of interest, not currently covered by ITU-R recommendations is the distribution of the durations of rain fades. …”
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Profit Optimization of a Refrigerated Gas Plant
Published 2007“…This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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Profit Optimization of a Refrigerated Gas Plant
Published 2007“…This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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Profit Optimization of a Refrigerated Gas Plant
Published 2007“…This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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Methane plume localization with enhanced self-best reduction and Gaussian improved particle swarm optimization (GiPSO)
Published 2024“…To investigate the adaptation of swarm intelligence with dynamic modification to further enhance its capability to optimize gas plume dispersion. The research focuses on three questions to enhance the drone swarm optimization algorithm. …”
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Second law considerations in fourier heat conduction of a lattice chain in relation to intermolecular potentials
Published 2016“…For these harmonic potentials, it appears from the simulation results that steady state solutions exist utilizing non-synthetic thermostats that couple not just the two particles at the extreme ends of the lattice chain, but to a control volume of N particles located at either ends of the chain that does not accord with the unique analytical solutions that obtains for single particle thermostatting at the ends of the lattice with a di�erent thermostatting algorithm that utilizes coupling coe�cients. If the method used here is considered a more ”realistic” or feasible model of the physical reality, then a re-evaluation of some aspects of the standard theoretical methodology is warranted since the standard model solution profile does not accord with the simulation temperature profile determined here for this related model. …”
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Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam
Published 2023“…It is demonstrated that not only mental accounting behaviour, but also the allocation according to mental accounting categories on top of demographic variables may have impact on retirement behaviour. Importantly, the evaluation of retirement wellbeing should equally focus on financial and psychological perspectives to ensure both are optimised accordingly, where organisations should focus on avenues to enhance an individual’s future income wealth category to enhance savings adequacy and retirement preparedness while the government can consider ways to improve income to encourage higher savings rate in tandem with the increasing provision of financial and psychological education on managing personal finances to the Malaysian population. …”
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