Search Results - (( java implementation cell algorithm ) OR ( missing making process algorithm ))

Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset by Amirruddin, A., Aziz, I.A., Hasan, M.H.

“…Missing values in datasets is a synonymous problem in data mining which could lead to an incomplete dataset, making inaccurate predictions results in machine learning prediction processes. …”
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Restoration of missing data in old archives based on genetic algorithm by Khammar, Mohammad Reza, Saripan, M. Iqbal, Marhaban, Mohammad Hamiruce, Ishak, Asnor Juraiza, Zolfaghari, Fateme

“…In this paper, we consider this task similar to an optimization problem and apply Genetic Algorithm (GA) to each frame. The current frame scans row by row and is considered as the corrupted slice of each row which is found; then, we apply the GA to fill the missing data on that special portion and the process is continued to cover the image completely. …”
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Development of an imputation technique - INI for software metric database with incomplete data by Wasito, Ito, Olanrewaju, Rashidah F.

“…In this paper, an imputation technique for imputing missing data based on global-local Modified Singular Value Decomposition (MSVD) algorithm, INI was proposed. …”
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Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan by Muhammad Sadiq , Khan

“…The result shows that DFIS possesses a persisting accuracy problem in prediction. DFIS predicts missing values through association between parameters, yet makes no distinction between the different associations. …”
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An enhanced robust association rules method for missing values imputation in Arabic language data set by Salem, Awsan Thabet

“…The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. …”
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Optimizing skyline query processing in incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Turaev, Sherzod

“…Most of the previously proposed skyline algorithms work on a complete database where the data are always present (non-missing). …”
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Efficient skyline processing algorithm over dynamic and incomplete database by Babanejad, Ghazaleh, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah, Alwan, Ali Amer

“…However, the rapid growth and frequent changes of data make the process of identifying skyline points no longer a trivial task. …”
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Enhanced utility accrual scheduling algorithms for adaptive real time system. by Othman, Muhammad Fauzan, Ahmad, Idawaty

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A systematic review of recurrent neural network adoption in missing data imputation by Nur Aqilah, Fadzil Akbar, Mohd Izham, Mohd Jaya, Mohd Faizal, Ab Razak, Nurul Aqilah, Zamri

“…It is often resulting from human error, system faults, and respondent non-response. Failing to address missing data can lead to inaccurate results during data analysis, as incomplete data sequences introduce biases and compromise the distribution of the synthesized data, and cause a negative impact on the decision-making process. …”
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An indoor evacuation assessment algorithm for critical incident / Amir Haikal Abdul Halim by Abdul Halim, Amir Haikal

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A preemptive utility accrual scheduling algorithm in adaptive real time system. by Ahmad, Idawaty, Subramaniam, Shamala, Othman, Mohamed, Othman, Muhammad Fauzan

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GNN-based skyline query processing for large-scale and incomplete graphs by Adzman, Hasan Khair, Hassan, Raini, Dwi Handayani, Dini Oktarina

“…However, traditional skyline algorithms struggle with large volumes and missing data, leading to high computational costs and inefficiencies. …”
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An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction by Ahanin, Fatemeh

“…In this model, the Fuzzy-MDL is applied as the pre-processing step to estimate the missing traffic speeds. …”
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Sentiment analysis of customer review for Tina Arena Beauty by Amri, Nur Najwa Shahirah

“…Customer review data were collected from multiple platforms and processed using Natural Language Processing (NLP) techniques such as Term Frequency-Inverse Document Frequency (TF-IDF). …”
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Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun by Koh , Che Hun

“…To fuse data from different sensors, the correlation algorithm is vital. Correlation is a process that associates the positioning data from different sensors to keep the SIAP up-to-date. …”
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Designing of skull defect implants using C1 rational cubic Bezier and offset curves by Najihah, Mohamed, Ahmad, Abd Majid, Abd Rahni, Mt Piah, Zainul, Ahmad Rajion

“…Its offset curve is used to generate the inner wall. A metaheuristic algorithm, called harmony search (HS) is a derivative-free real parameter optimization algorithm inspired from the musical improvisation process of searching for a perfect state of harmony. …”
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Wi-Fi signals database construction using chebyshev wavelets for indoor positioning systems by Narzullaev, Anvar, Muminov, Zahriddin, Ibragimov, Gafurjan

“…The field tests as well as computer simulation results showed significant improvement in signal strength prediction accuracy compared to existing approximation algorithms. Furthermore, the proposed algorithm can recover missing signal values with much smaller number of on-site measurements compared to conventional calibration algorithm.…”
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Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours by Baneamoon, Saeed Mohammed Saeed

“…Overall, the enhanced approaches performed well and the enhanced learning processes proposed in the current study makes robot learning more effective. …”
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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. …”
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Predictive analytics for the sentiment of malaysian place of interest using machine learning models by Qiryn Adriana, Kharul Zaman

“…Subsequently, the study proceeded with the pre-processing stage to handle missing and erroneous values in the data. …”
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