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  1. 1
    Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation

    Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation by Lateh, Masitah bdul

    Published 2020
    “…The proposed algorithm named as Box-Whisker Data Transformation considered all samples contain in a MLCC dataset in order to generate artificial samples. …”
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  2. 2
    Generation of synthetic 5G network dataset using Generative Adversarial Network (GAN)

    Generation of synthetic 5G network dataset using Generative Adversarial Network (GAN) by Azman, Muhammad Amin, Abu-samah, Asma, Khatiman, Muhammad Nur Aqmal, Nordin, Rosdiadee, Abdullah, Nor Fadzilah

    Published 2024
    “…The existence of Generative Adversarial Network (GAN) helps solve the issue by generating fake data from an existing dataset to resemble real-world data to be used in training and testing of different algorithms. …”
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  3. 3
    Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times

    Using graph algorithm and classification technique for finding an optimal bus route in time-dependent travel times by Deelertmongkolchai, Satjayod, Chumwatana, Todsanai, Thaiupathump, Choonhapong

    Published 2016
    “…However, they are suffering from the long hours in traffic jam especially in rush hour.They also cannot avoid this such jam as bus routes are fixed by Bangkok Mass Transit Authority (BMTA).This paper aims to propose a technique for finding an Optimal Bus Route in Time-Dependent Travel Times by using graph algorithm and data mining technique. The proposed technique is able to find a least spent travel time path between two nodes in a bus network with time-dependence.Graph algorithm is used to generate all possible paths to reveal the distances.Classification technique is then used to analysis traffic situation in different period of the time.By analysis traffic situation, date, time, week, month, location are used as a main factor for training process in classification technique.From the experimental studies, the proposed technique is able to show the best route from any given node to the final destination depending on the different period of the time.The proposed technique provides significant benefit for traveler to select the best bus route, which is short distance and fast, among generated routes…”
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  4. 4
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

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

    Published 2025
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  5. 5
    The skyline operator algorithms: a review

    The skyline operator algorithms: a review by Mohd Rum, Siti Nurulain, Mohd Ariffin, Noor Afiza, Asmawi, Aziah, Mohd Rum, Siti Fatimah, Dzolkhifli, Zarina

    Published 2019
    “…In the present decade, there is the revival of interest to find the best way to query the database that able to provide not only a single answer, but also a set of answers that can be the most preferred by users .In many cases, the overflow of data generated from social media, and many other data stored and shared over the Internet makes the data access becoming near –infinite to the users. …”
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  6. 6
    Data redundancy reduction in wireless sensor network

    Data redundancy reduction in wireless sensor network by Adawy, Mohammad Ibrahim, Awang Nor, Shahrudin, Mahmuddin, Massudi

    Published 2018
    “…Data aggregation and numerous data redundancy reduction algorithms are employed to solve this problem. …”
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  7. 7
    Refinement of generated weighted fuzzy production rules by using fuzzy neural networks for stock market prediction.

    Refinement of generated weighted fuzzy production rules by using fuzzy neural networks for stock market prediction. by Md. Sap, Mohd. Noor, Khokar, Rashid Hafeez

    Published 2005
    “…The trader's expectations to predict stock markets are seriously affected by some uncertain factors including political situation, oil price, overall world situation, local stock markets etc. …”
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  8. 8
    Enhanced privacy protection from location dependent attacks in location based services using spatial cloaking

    Enhanced privacy protection from location dependent attacks in location based services using spatial cloaking by Saravanan, Perumal Shanthi, Balasundaram, Sadhu Ramakrishnan

    Published 2020
    “…In addition, dummy queries are generated to protect users from unusual situations. …”
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  9. 9
    Enhanced Privacy Protection Against Location-Dependent Attacks in Location Based Services Using Spatial Cloaking

    Enhanced Privacy Protection Against Location-Dependent Attacks in Location Based Services Using Spatial Cloaking by Saravanan, Perumal Shanthi, Balasundaram, Sadhu Ramakrishnan

    Published 2020
    “…In addition, dummy queries are generated to protect users from unusual situations. …”
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  10. 10
    Fault Detection and Identification in Quadrotor System (Quadrotor Robot)

    Fault Detection and Identification in Quadrotor System (Quadrotor Robot) by Chan, Shi Jing, Pebrianti, Dwi

    Published 2016
    “…The aim of the research is to construct and design a Fault Detection and Isolation algorithm. This dynamic model is based on the first principles of the Quadrotor: Propeller model and its force as well as moments generation. …”
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  11. 11
    Secure lightweight client for cloud-based E-Health Model

    Secure lightweight client for cloud-based E-Health Model by Zhang, Xiaowei

    Published 2023
    “…This algorithm verifies the identity and permission of non-group members to meet the strict privacy protection requirements of EHRs data. …”
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  12. 12
    Data redundancy reduction scheme for data aggregation in wireless sensor network

    Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

    Published 2020
    “…The aim to design MC and SAN algorithms is to increase data aggregation efficiency in terms of energy consumption, End-to-end delay, whereas the aim to design AD algorithm is to conserve aggregated data accuracy. …”
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  13. 13
    Tag clouds algorithm with the inclusion of personality traits

    Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

    Published 2015
    “…The algorithm was then tested through a black box testing. …”
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  14. 14
    Machine learning modeling for radiofrequency electromagnetic fields (RF-EMF) signals from mmWave 5G signals

    Machine learning modeling for radiofrequency electromagnetic fields (RF-EMF) signals from mmWave 5G signals by Al-Jumaily, Abdulmajeed, Sali, Aduwati, Riyadh, Mohammed, Wali, Sangin Qahtan, Li, Lu, Osman, Anwar Faizd

    Published 2023
    “…The results are analysed and compared with the measured data, determining which algorithm is more accurate by calculating the RMSE of each algorithm. …”
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  15. 15
    Enhanced 3D terrain visualization process using game engine

    Enhanced 3D terrain visualization process using game engine by Mohd Hafiz, Mahayudin

    Published 2018
    “…The algorithm can be divided into three processes which are terrain data reading, terrain data conversion, and terrain data processing. …”
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  16. 16
    Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon

    Artifact identification for blood pressure and photoplethysmography signals in an unsupervised environment / Lim Pooi Khoon by Lim , Pooi Khoon

    Published 2020
    “…The robustness of this artifact detection algorithm was then evaluated on both short and continuous data collected from young and older subjects which included arrhythmia patients. …”
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  17. 17
    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah

    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah by Airul Sharizli, Abdullah

    Published 2017
    “…It is envisaged that this CAWS featuring MSDG algorithm would provide a more realistic depiction of the real traffic situation for safety purposes.…”
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  18. 18
    Adaptive genetic algorithm to improve negotiation process by agents e-commerce

    Adaptive genetic algorithm to improve negotiation process by agents e-commerce by Ebadi, Sahar

    Published 2011
    “…Second contribution is made by applying an improved genetic algorithm in offer generation mechanism and producing high quality, mutually acceptable offers. …”
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  19. 19
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

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

    Published 2024
    thesis::doctoral thesis
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  20. 20
    Simulation of an adaptive artificial neural network for power system security enhancement including control action

    Simulation of an adaptive artificial neural network for power system security enhancement including control action by Al-Masri, Ahmed Naufal A., Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Mariun, Norman

    Published 2015
    “…This study aims to find a significant control action that alleviates the bus voltage violation of a power system and to develop an automatic data knowledge generation method for the adaptive ANN. …”
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