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  1. 1
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…Basically, the proposed of FUHS16, UHDS16 and UHDS8 algorithm produces the best motion vector estimation finding based on the block-based matching criteria. …”
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  2. 2
    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli

    Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

    Published 2021
    “…The main goal of this study is to create an online food ordering app using the corresponding Boyer-Moore string matching algorithm. …”
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  3. 3
    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition

    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition by Ayu, Media Anugerah, Ismail, Siti Aisyah, Abdul Matin, Ahmad Faridi, Mantoro, Teddy

    Published 2012
    “…As a continuation of the research towards the search for a suitable and reliable algorithm for real-time activity recognition using mobile phone, an evaluation and comparison study of the performance of seven different categories of classifier algorithms in classifying user activities were conducted. …”
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  4. 4
    Interval-valued fuzzy soft topology and its applications in group decision-making problems

    Interval-valued fuzzy soft topology and its applications in group decision-making problems by Altwer, Mabruka Ali Juma

    Published 2022
    “…In the application phase of this thesis, we provide a representation of the results acquired in the previous steps in order to compute and define various algorithms that assist group decision-making using interval-valued fuzzy soft sets. …”
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  5. 5
    A review on monocular tracking and mapping: from model-based to data-driven methods

    A review on monocular tracking and mapping: from model-based to data-driven methods by Gadipudi, N., Elamvazuthi, I., Izhar, L.I., Tiwari, L., Hebbalaguppe, R., Lu, C.-K., Doss, A.S.A.

    Published 2022
    “…Finally, the popular benchmarks available for developing and evaluating these algorithms are presented along with a comparative study on a different class of algorithms. …”
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  6. 6
    Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm

    Evaluating the Impact of SNOIs on SINR and Beampattern of MVDR Adaptive Beamforming Algorithm by Shahab, Suhail Najm, Ayib Rosdi, Zainun, Izzeldin, I. Mohd, Alabdraba, Waleed M. Sh., Nurul Hazlina, Noordin

    Published 2016
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  7. 7
    Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm

    Hybrid model to improve the river streamflow forecasting utilizing multi-layer perceptron-based intelligent water drop optimization algorithm by Pham Q.B., Afan H.A., Mohammadi B., Ahmed A.N., Linh N.T.T., Vo N.D., Moazenzadeh R., Yu P.-S., El-Shafie A.

    Published 2023
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  8. 8
    An analysis of the AAḃ asymmetric encryption scheme on embedded devices for IoT environment / Syed Farid Syed Adnan

    An analysis of the AAḃ asymmetric encryption scheme on embedded devices for IoT environment / Syed Farid Syed Adnan by Syed Adnan, Syed Farid

    Published 2019
    “…It is also not known how the algorithm would perform against the widely used RSA on resource-constrained platforms. …”
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  9. 9
    A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features

    A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features by Keshkeh, Kinan, Jantan, Aman, Alieyan, Kamal

    Published 2022
    “…Furthermore, using the basic features, TLSMalDetect achieved the highest accuracy of 93.69% by Naïve Bayes (NB) among the ML algorithms applied. …”
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  10. 10
    Computerized simulation system for ECM radar system

    Computerized simulation system for ECM radar system by Salleh, Mohamad Sabri

    Published 2007
    “…Finally before code generation, the flow chart of the simulation algorithm was used. The system is based on C++ Builder application; it has the capability of OO programming with the enhancement of Visual Component Library (VCL). …”
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  11. 11
    Measuring aircraft altimetry system error using automatic dependent surveillance-broadcast data / Kalyani Bahskaran

    Measuring aircraft altimetry system error using automatic dependent surveillance-broadcast data / Kalyani Bahskaran by Kalyani , Bahskaran

    Published 2021
    “…Subsequently, a computer algorithm and interfacing tool is developed. The tool enables any personal with basic computer literacy and access to the tool and data file to process the data and asses the HKP of the flight at ease. …”
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  12. 12
    Efficient beamforming and spectral efficiency maximization in a joint transmission LTE-A system

    Efficient beamforming and spectral efficiency maximization in a joint transmission LTE-A system by Faisal, Ali Raed

    Published 2016
    “…In this study, the performance of ZF, BPSOA and the proposed MSPSOA BF are evaluated by using different metrics like acquired sum rate, level of actual interference and transmitting power along with total utility of three different internet applications. …”
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  13. 13
    Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic

    Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic by Mohammed, Athraa Jasim

    Published 2012
    “…It is a windows application with http connection protocol. In system evaluation used two measurement performances which are precision and mean average precision. …”
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  14. 14
    Determining Suitable Program For SPM Holder Using Neural Network Approach

    Determining Suitable Program For SPM Holder Using Neural Network Approach by Noraisah, Sudin

    Published 2002
    “…This module used for self-assesment prediction in web-based environment in order to get more user participation. The basic architecture are multilayer feedforward networks, trained using the Backpropagation algorithm. …”
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  15. 15
    Raspberry Pi-Based Finger Vein Recognition System Using PCANet

    Raspberry Pi-Based Finger Vein Recognition System Using PCANet by Quek, Ee Wen

    Published 2018
    “…Factors which impact PCANet are studied to identify the limitations of PCANet. For classification, k-Nearest Neighbours (kNN) with Euclidean distance algorithm is implemented. …”
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  16. 16
    Evaluation method of rationality of urban landscape facility design based on neural network

    Evaluation method of rationality of urban landscape facility design based on neural network by Wang, Fanglong, Zhuang, Qianda, Sun, Xiaoni, Lin, Dengfeng

    Published 2025
    “…Urban landscape facilities not only enhance the quality of life for residents and promote social interaction but also add bright elements to the display of urban culture and image. Therefore, this study formulates a scientific and reasonable evaluation index system for the rationality of urban landscape facility design and uses a neural network to carry out intelligent evaluation, in order to obtain optimal evaluation outcomes. …”
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  17. 17
    Comparative study of 3D reconstruction methods from 2D sequential images in sports

    Comparative study of 3D reconstruction methods from 2D sequential images in sports by Azrulhizam Shapi’i, Pichak, Sanaz, Mohd Syazwan Baharuddin, Iida, Hiroyuki

    Published 2020
    “…These researches have been developed the algorithm that be able to solve illposed problem. Evaluation of the methods was divided in two sections. …”
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  18. 18
    Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive

    Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive by Al-Bared, M.A.M., Mustaffa, Z., Armaghani, D.J., Marto, A., Yunus, N.Z.M., Hasanipanah, M.

    Published 2021
    “…Afterward, these models were evaluated according to several well-known performance indices. …”
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  19. 19
    Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive

    Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive by Al-Bared, M.A.M., Mustaffa, Z., Armaghani, D.J., Marto, A., Yunus, N.Z.M., Hasanipanah, M.

    Published 2021
    “…Afterward, these models were evaluated according to several well-known performance indices. …”
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  20. 20
    Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza

    Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza by Ghulam , Murtaza

    Published 2021
    “…Furthermore, three McR algorithms are developed and implemented in a cascaded manner to reduce the false predictions (i.e., misclassification) of the aforementioned six ML classifiers. …”
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