Search Results - (( data evaluation method algorithm ) OR ( data distribution modified algorithm ))

Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems by Shakeel Ahmed, Kamboh

“…The DPA-EHD is further modified by utilizing the pipelining parallelism to reduce the computing iterations and named as data parallel and pipelining algorithm (DPPA-EHD). …”
Get full text
Get full text

Predicting Customer Buying Decisions for Online Shopping with Unbalanced Data Set by Yap, Chau Tean

“…The methods used were over-sampling, under-sampling and hybrid sampling, which modified the data set class distribution to achieve a better result. …”
Get full text
Get full text

Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

“…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
Get full text
Get full text

Dynamic robust bootstrap method based on LTS estimators by Midi, Habshah, Uraibi, Hassan Sami, Al-Talib, Bashar Abdul Aziz Majeed

“…We call this method Dynamic Robust Bootstrap-LTS based (DRBLTS) because here we have employed the LTS estimator in the modified bootstrap algorithm. …”
Get full text
Get full text

Instance matching framework for heterogeneous semantic web content over linked data environment by Mansir, Abubakar

“…The output of each algorithm is evaluated, the results have shown that each algorithm performs well and outperforms the existing algorithms on all test cases in terms better output generation and effective handling of heterogeneity from different domains, which is a necessary concern in all data-intensive problems. …”
Get full text
Get full text

Parameter estimation of Kumaraswamy Burr type X models based on cure models with or without covariates by Yusuf, Madaki Umar

“…Asa consequence of this, it can be used suitably for censored data. Based on the problem stated, we develop a new model using the method of confounding the existing parametric models by adopting the BX model as the baseline distribution. …”
Get full text
Get full text

Robust Kernel Density Function Estimation by Dadkhah, Kourosh

“…The distance of observations from the center of data set is incorporated in the formulation of the first outlier detection method in unimodal distribution. …”
Get full text
Get full text

Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani by Ehsan Taslimi , Renani

“…To evaluate the performance of the Weibull parameters’ estimator methods, two sets of data are considered, one based on simulated data with different random variable size and the other based on actual data collected from a wind farm in Iran. …”
Get full text
Get full text
Get full text

Modeling Of Electrical Distribution Networks With Particle Swarm Optimization Technique For The Improvement Of Voltage Profile And Loss Reduction by Shahad, Falih Khlaif

“…The need of accurate impedance data is for evaluation electrical of distribution system planning with economic considerations. …”
Get full text
Get full text
Get full text
Get full text

Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit by Deng, Ting

“…Promoting ML in healthcare based on EHR can enhance health management for increased intelligence, safety, and efficiency. Unlike traditional data-centralized ML methods, federated learning (FL) provides a novel and promising distributed learning scheme to promote ML in multiple healthcare institutions while preserving data privacy. …”
Get full text
Get full text
Get full text

Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data by Hamza, Abubakar

“…The present study proposes a simulated annealing algorithm (SA) in estimating the parameters of Weibull distribution with application to modified internal rate of return data (MIRR).The objective is to examine the investment potential of the shari’ah compliance companies of the Malaysia property sector (MPS). …”
Get full text
Get full text

Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases by Hafeez, Ahmad

“…However, the performance of the classical location and scatter estimators is usually flawed by singularity and outliers’ problems in high dimensional data sets. The study aimed to modify the existing ML test by incorporating the Cholesky banded regularization methods and thresholding sample covariance matrix to resolve singularity problems and incorporating the L₁-median with Weiszfeld’s algorithm (MLw) covariance matrix to solve outliers’ problem in high dimensional data sets. …”
Get full text
Get full text
Get full text
Get full text

Modified sequential fences for identifying univariate outliers by Wong, Hui Shein

“…Moreover, we proposed a new method with modified algorithm and methodology namely bootstrap sequential fences. …”
Get full text
Get full text

Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm by Zeni, Saltihie

“…Then, the modified LEACH algorithm was proposed where the improvement was done in cluster head selection based on LEACH. …”
Get full text
Get full text
Get full text
Get full text

Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices by Oskoui, Issa Saket

“…In the next stage, the modified Sequent Peak Algorithm (SPA) is employed for the Storage-yield planning analysis of reservoir systems at different demands, reliability and vulnerability performance metrics employing the synthetic streamflow data. …”
Get full text
Get full text

Smart grid: Bio-inspired algorithms energy distributions for data centers by Woo, Yu Hang

Get full text
Get full text

Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

“…The proposed strategy is dependent on modified Zimmermanns approach for handling all inexact operating costs, data capacities, and demand variables. …”
Get full text
Get full text

A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things by Bakhshad, Said, Noor, Rafidah Md, Akhundzada, Adnan, Saba, Tanzila, Ahmedy, Ismail, Haroon, Faisal, Nazir, Babar

“…Grid computing is a powerful distributed and scalable computing infrastructure that deals with massive data-intensive applications. …”
Get full text
Get full text

A hybrid multi objective cellular spotted hyena optimizer for wellbore trajectory optimization by Biswas, K., Nazir, A., Tauhidur Rahman, M., Khandaker, M.U., Idris, A.M., Islam, J., Rahman, M.A., Jallad, A.-H.M.

“…Hopefully, this newly proposed modified algorithm will pave the way for better wellbore trajectory optimization. …”
Get full text
Get full text

A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network by Hindia, M.N., Reza, A.W., Noordin, K.A.

“…On the first level, bankruptcy and shapely value algorithm fairly distribute the resources among smart grid applications. …”
Get full text
Get full text
Get full text