Search Results - (( interval estimation techniques algorithm ) OR ( java implication based algorithm ))

Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…The findings of this research provide two new iterative algorithms for estimating the parameters of the AFT model with interval-censored data, and also two new resampling techniques for estimating the covariance matrix of estimators. …”
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Pixel-based skin color detection technique by Zaqout, I., Zainuddin, R., Baba, S.

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Improved thresholding and quantization techniques for image compression by Md Taujuddin, Nik Shahidah Afifi

“…The proposed algorithm estimates the best threshold value at each detail subbands. …”
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Voltage and load profiles estimation of distribution network using independent component analysis / Mashitah Mohd Hussain by Mohd Hussain, Mashitah

“…The voltage profiles are estimated for 24- hours with time interval of 1 minute. …”
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Estimation of non-contact smartphone video-based vital sign monitoring using filtering and standard color conversion techniques by Qayyum, A., Malik, A.S., Shuaibu, A.N., Nasir, N.

“…The standard color conversion technique and Plane-Orthogonal-to-Skin (POS) algorithm have been applied to estimate the Remote photoplethysmography (rPPG) signal efficiently. …”
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Slice sampler algorithm for generalized pareto distribution by Rostami, Mohammad, Adam, Mohd Bakri, Yahya, Mohamed Hisham, Ibrahim, Noor Akma

“…The results were compared with another commonly used Markov chain Monte Carlo (MCMC) technique called Metropolis-Hastings algorithm. Based on the results, the slice sampler algorithm provides closer posterior mean values and shorter 95% quantile based credible intervals compared to the Metropolis-Hastings algorithm. …”
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Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior by Ahmed, Al Omari Mohammed

“…The comparisons are done by using standard error and the confidence interval for maximum likelihood method and credible interval for the Bayesian method.…”
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Machine failure prediction technique using recurrent neural network long short-term memory-particle swarm optimization algorithm by Rashid, N.A., Abdul Aziz, I., Hasan, M.H.B.

“…This paper proposes a hybrid prediction technique based on Recurrent Neural Network Long-Short-Term Memory (RNN-LSTM) with the integration of Particle Swarm Optimization (PSO) algorithm to estimate the Remaining Useful Life (RUL) of machines. …”
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Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi by Azmi, Aini

“…Results presents traffic characterizations are identified based on two (2) parameters Cumulative Distribution Functions (CDF) traffic model. Maximum Likelihood Estimator (MLE) technique is used to fit the best distribution model. …”
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Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi by Azmi, Aini

“…Results presents traffic characterizations are identified based on two (2) parameters Cumulative Distribution Functions (CDF) traffic model. Maximum Likelihood Estimator (MLE) technique is used to fit the best distribution model. …”
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Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin, Rangkuti, Chalillullah

“…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater by Khan M.S.J., Sidek L.M., Kumar P., Alkhadher S.A.A., Basri H., Zawawi M.H., El-Shafie A., Ahmed A.N.

“…In this particular research study, the application of machine learning techniques was employed in order to make an estimation of the performance of reduction catalysis in the context of ecologically detrimental nitrophenols and azo dyes contaminants. …”

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A framework for automatic modelling of survival using fuzzy inference. by Hamdan, Hazlina, Garibaldi, Jonathan M.

“…After the initialisation of the fuzzy inference structure, the replication data (until time to event) will be subject to be trained using the gradient descent and nonnegative least square algorithm to estimate the conditional event probability. …”
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Transformer asset management based on Markov Prediction Model utilizing health index by Yahaya, Muhammad Sharil

“…The analysis on the relationship between the predicted and actual computed numbers of transformers using the MPM with the frequency of transition technique reveals that all transformer states are still within the 95% prediction interval. …”
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Optimal timber transportation planning in tropical hill forest using bees algorithm by Jamaluddin, Jamhuri

“…The selection of timber extraction techniques is the most important in timber harvesting operations. …”
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Towards enhanced remaining useful life prediction of lithium-ion batteries with uncertainty using optimized deep learning algorithm by Reza M.S., Hannan M.A., Mansor M., Ker P.J., Rahman S.A., Jang G., Mahlia T.M.I.

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis by Azhani, Aidatul Aznuraini Aidil

“…For this case study, determination of Bukit Merah Reservoir storage capacity is the crucial step for preserving its water storage which influenced all the essential basic things such as irrigation, domestic and flood mitigation. A sequent peak algorithm is a technique designed primarily to estimate the size of active storage by tracking the inflows and outflows over an interval. …”
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Pembangunan dimensi baru bagi model regresi eksponen (kreb): aplikasi dalam sains kesihatan by Rohim, Rabi'atul 'Adawiyah Abdul

“…The main focus of this study is to establish a standard procedure for integrated exponential function algorithm, the KREB Model, with emphasis on the modelling techniques based on the scientific computational statistical method and the advanced statistical method by utilising the SAS software. …”
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