Search Results - (( java segmentation using algorithm ) OR ( missing making process algorithm ))

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  1. 1
    Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset

    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.

    Published 2020
    “…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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  2. 2
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  3. 3
    Restoration of missing data in old archives based on genetic algorithm

    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

    Published 2014
    “…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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  4. 4
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  5. 5
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  6. 6
    Development of an imputation technique - INI for software metric database with incomplete data

    Development of an imputation technique - INI for software metric database with incomplete data by Wasito, Ito, Olanrewaju, Rashidah F.

    Published 2007
    “…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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  7. 7
    Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan

    Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan by Muhammad Sadiq , Khan

    Published 2018
    “…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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  8. 8
    An enhanced robust association rules method for missing values imputation in Arabic language data set

    An enhanced robust association rules method for missing values imputation in Arabic language data set by Salem, Awsan Thabet

    Published 2023
    “…The failure to handle missing values usually causes unwanted consequences such as misleading analysis and decision-making. …”
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  9. 9
    Optimizing skyline query processing in incomplete data

    Optimizing skyline query processing in incomplete data by Gulzar, Yonis, Alwan, Ali Amer, Turaev, Sherzod

    Published 2019
    “…Most of the previously proposed skyline algorithms work on a complete database where the data are always present (non-missing). …”
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  10. 10
    Efficient skyline processing algorithm over dynamic and incomplete database

    Efficient skyline processing algorithm over dynamic and incomplete database by Babanejad, Ghazaleh, Ibrahim, Hamidah, Udzir, Nur Izura, Sidi, Fatimah, Alwan, Ali Amer

    Published 2018
    “…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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  11. 11
    Enhanced utility accrual scheduling algorithms for adaptive real time system.

    Enhanced utility accrual scheduling algorithms for adaptive real time system. by Othman, Muhammad Fauzan, Ahmad, Idawaty

    Published 2009
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  12. 12
    A systematic review of recurrent neural network adoption in missing data imputation

    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

    Published 2025
    “…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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  13. 13
    An indoor evacuation assessment algorithm for critical incident / Amir Haikal Abdul Halim

    An indoor evacuation assessment algorithm for critical incident / Amir Haikal Abdul Halim by Abdul Halim, Amir Haikal

    Published 2023
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  14. 14
    A preemptive utility accrual scheduling algorithm in adaptive real time system.

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

    Published 2008
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  15. 15
    GNN-based skyline query processing for large-scale and incomplete graphs

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

    Published 2026
    “…However, traditional skyline algorithms struggle with large volumes and missing data, leading to high computational costs and inefficiencies. …”
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  16. 16
    An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction

    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

    Published 2023
    “…In this model, the Fuzzy-MDL is applied as the pre-processing step to estimate the missing traffic speeds. …”
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  17. 17
    Sentiment analysis of customer review for Tina Arena Beauty

    Sentiment analysis of customer review for Tina Arena Beauty by Amri, Nur Najwa Shahirah

    Published 2025
    “…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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  18. 18
    Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun

    Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun by Koh , Che Hun

    Published 2019
    “…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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  19. 19
    Designing of skull defect implants using C1 rational cubic Bezier and offset curves

    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

    Published 2015
    “…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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  20. 20
    Wi-Fi signals database construction using chebyshev wavelets for indoor positioning systems

    Wi-Fi signals database construction using chebyshev wavelets for indoor positioning systems by Narzullaev, Anvar, Muminov, Zahriddin, Ibragimov, Gafurjan

    Published 2019
    “…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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