Search Results - (( java implication based algorithm ) OR ( value formulae based algorithm ))

Development of a Raspberry Pi Drowsiness Detection System based on Histogram of Oriented Gradient (HOG) Algorithm and Eye Aspect Ratio (EAR) Formula by Francis Xavier, Sam Daniel

“…Therefore, a Raspberry Pi drowsiness detection system based on Histogram of Oriented Gradient (HOG) algorithm and Eye Aspect Ratio (EAR) formula has been developed in this research. …”
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New classes of block backward differentiation formula for solving stiff initial value problems by Musa, Hamisu

“…In this thesis, new classes of block methods are developed for the solution of sti® initial value problems. The methods are based on the BDF and produce more than one solution value per step. …”
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Design and implementation of real data fast fourier transform processor on field programmable gates array by Ahmed, Mohammed Kassim

“…In this work, the memorybased FFT processor, based on radix-4 FFT algorithm is implemented on Cyclone II Field Programmable Gates Array (FPGA). …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

“…Accordingly, a Novel Density-Aware Routing algorithm (NDAR) is proposed. The proposed algorithm totally eliminates the need for fixed threshold values through the use of a novel formula that can easily estimate the node density and replace the fixed threshold value based on the neighbor information. …”
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Fractal dimension algorithm for detecting oil spills using RADARSAT-1 SAR by Marghany, Maged, Hashim, Mazlan, Cracknell, Arthur P.

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Enhancing the Sorting Layers in the Initial Stage of High School Timetabling by Arbaoui, Billel, Wahid, Juliana, Abdul-Rahman, Syariza

“…The layer sorting procedure in KHE is based on a certain priority. For every two layers, the layers will be ranked based on the highest value of duration. …”
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Fifth order 2−point implicit block method with an off-stage function for solving first order stiff initial value problems by Zainal, Siti Zhafirah

“…This method computes the approximate solutions at two points simultaneously based on equidistant block method. The proposed new formula is different from previous studies because it has the advantage of generating a set of formulas by varying a value of the parameters within the interval (-1,1).In this thesis we use 1/2 and 1/4 as the parameter. …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm by Najeeb, Mushtaq, Mansor, Muhamad, Razali, Ramdan, Daniyal, Hamdan, A. F. Yahaya, Jabbar

“…The mean absolute error (MAE) formula is used as an objective function with the HS algorithm in finding the adaptive values of  and  parameters to minimize the error of the inverter output voltage. …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm by Najeeb M., Mansor M., Razali R., Daniyal H., Yahaya J.A.F.

New Quasi-Newton Equation And Method Via Higher Order Tensor Models by Gholilou, Fahimeh Biglari

“…This method is derived from the proposed new QN update formula. The new method yields a more efficient algorithm compared to the standard limited memory BFGS with simple bounds (L-BFGS-B) method in the case of solving unconstrained problems. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Sensitivity-based fuzzy multi-objective portfolio model with Value-at-Risk by Zhang, H., Watada, J., Wang, B.

“…In addition, compared with the VaR-FMOPSM model, our sensitivity-based improved model with the IPSO algorithm also performs better than Genetic Algorithm and Simulate Anneal Algorithm (SA), it provides the same performance on this point. …”
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Self-adaptive conjugate method for a robust and efficient performance measure approach for reliability-based design optimization by Keshtegar, Behrooz, Baharom, Shahrizan, El-Shafie, Ahmed

“…The advanced mean value and hybrid mean value methods are commonly used to evaluate the probabilistic constraint of reliability-based design optimization (RBDO) problems. …”
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Statistics Easy Tool (SET) / Noor Aisyah Idris and Nurdia Azlin Ghazali by Idris, Noor Aisyah, Ghazali, Nurdia Azlin

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Optimal design of grid-connected hybrid renewable energy system considering electric vehicle station using improved multi-objective optimization: techno-economic perspectives by Al-Sahlawi, Ameer A. Kareim, Md. Ayob, Shahrin, Tan, Chee Wei, Mohammed Ridha, Hussein, Hachim, Dhafer Manea

“…A multi-objective improved arithmetic optimization algorithm (MOIAOA) concept is proposed to analyze the optimal sizing of the proposed system components by calculating the optimal values of the three conflicting objectives: grid contribution factor (GCF), levelled cost of electricity (LCOE), and energy sold to the grid ((Formula presented.)). …”
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Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications by Mohd Ijam, Hazizah

“…The classes have the advantage of producing a different set of formulas that possess A-stability properties by selecting the ρ value within the interval (-1,1). …”
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New signed-digit {0,1,3}-NAF scalar multiplication algorithm for elliptic curve over binary field by Md Yasin, Sharifah

“…Also, a new point tripling formula and algorithm are introduced for elliptic curve over binary field using Lopez-Dahab projective coordinates. …”
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An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis by Kamis, Nor Hanimah

“…This study proposed an improvised algorithm in criteria weights determination based on consistent fuzzy preference relations (CFPR). …”
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Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks by Wan Mohtar, Wan Hanna Melini, Afan, Haitham, El-Shafie, Ahmed, Bong, Charles Hin Joo, Ab. Ghani, Aminuddin

“…Empirical data from five studies were fed into the models and the performance of each model was scrutinized based on three performance criteria. Prediction from FFNN was found to give higher accuracy than values obtained from RBF. …”
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Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA) by Ponnalagu, Dharswini, Mohd Ashraf, Ahmad, Jui, Julakha Jahan

“…Acquired results which demonstrate lower values of RMSE and parameter deviation index against the standard SMA and other preceding algorithms such as particle swarm optimization, sine cosine algorithm, moth flame optimizer and ant lion optimizer ultimately verified ESMA’s efficacy as an effective approach for accurate model identification.…”
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