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  1. 1
    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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  2. 2
    Development of mobile robot and localization system

    Development of mobile robot and localization system by Juhari, Khairul Anuar

    Published 2014
    “…Mobile robot is currently being actively developed for both civilian and military use to perform dull, dirty and dangerous activities. …”
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  3. 3
    Real-time barcode reader using active vision

    Real-time barcode reader using active vision by Ullah Sheikh, Usman

    Published 2004
    “…An adaptive thresholding algorithm is used to reduce the effects of uneven illumination. …”
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  4. 4
    Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun

    Comparison of supervised classification technique of landuse map using high resolution image / Muhammad Firdaus Mohammad Harun by Mohammad Harun, Muhammad Firdaus

    Published 2019
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  5. 5
    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun

    Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun by Kok , Sun Sun

    Published 2000
    “…The system is able to update the information from the database provided that the administrator monitors its activities periodically. This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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  6. 6
    Smart object detection using deep learning algorithm and jetson nano for blind people

    Smart object detection using deep learning algorithm and jetson nano for blind people by Tan, Mei Yan, Anis Farihan, Mat Raffei, Mohd Arfian, Ismail

    Published 2021
    “…Visual impairment may cause people difficulties with normal daily activities such as driving, reading, socializing and walking. …”
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  7. 7
    Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms

    Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms by Choong, Chun Sern

    Published 2020
    “…The ensemble learning technique, changes of activation function in Neural Network as well as the unsupervised learning (k-means clustering algorithm and Friis Transmission Equation) was also applied to classify the multiclass classification in pallet-level. …”
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  8. 8
    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
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  9. 9
    A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining

    A collaborative filtering recommender system for infrequently purchased product using slope-one algorithm and association rule mining by Zolhani, Nur Azleen

    Published 2015
    “…This recommender system uses slope-one algorithm whereby it accumulate and takes into account of the difference in popularity. …”
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  10. 10
    Obstacle Avoidance of a Mobile Robot Using Fuzzy Logic Control

    Obstacle Avoidance of a Mobile Robot Using Fuzzy Logic Control by Eshtawie, Mohamed Al-Mahdi

    Published 1999
    “…Depending on the number of fuzzy sets used to represent the sensor readings, the total number of control rules used in the design was 243 at the first stage and then reduced to 1 08. …”
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  11. 11
    A student learning style auto-detection model in a learning management system

    A student learning style auto-detection model in a learning management system by Rashid, Amirah, Raja Ikram, Raja Rina, Thamilarasan, Yarshini, Salahuddin, Lizawati, Abd Yusof, Noor Fazilla, Rashid, Zakiah

    Published 2023
    “…The search terms used were "online learning activities", "learning management systems", and "Felder-Silverman Learning Style Model (FSLSM)." …”
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  12. 12
    Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music

    Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music by Ahmed Yahya Al-Galal, Sabaa, Taha Alshaikhli, Imad Fakhri, Abdul Rahman, Abdul Wahab

    Published 2016
    “…Two types of electrophysiology readings are used in this research: electroencephalograms (EEGs) and electrocardiograms (ECGs). …”
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  13. 13
    Air pollution forecasting in Kuala Terengganu using Artificial Neural Network (ANN) / Nur Raudzah Abdullah

    Air pollution forecasting in Kuala Terengganu using Artificial Neural Network (ANN) / Nur Raudzah Abdullah by Abdullah, Nur Raudzah

    Published 2020
    “…Existing researches on air pollution forecasting used a variety of machine learning algorithm. One of the popular algorithms used to forecast the air pollution is Artificial Neural Network (ANN). …”
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  14. 14
    Trust-aware authentication and authorization for IoT: a federated machine learning approach

    Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

    Published 2024
    “…The proposed architecture performs particularly well for unauthorized intrusion attempts modelled using spoofing, replay and Sybil attacks. Specifically, the proposed methodology can detect malicious AA activities classified as Writing + Reading attempts with 100% accuracy, demonstrating its effectiveness in protecting IoT devices from attacks. …”
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  15. 15
    Development of mobile location based notification for crime cases tracking as an alternative alert for public safety / Noraini Ismail

    Development of mobile location based notification for crime cases tracking as an alternative alert for public safety / Noraini Ismail by Ismail, Noraini

    Published 2014
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  16. 16
    Classification of strategies for solving programming problems using Aol sequence analysis

    Classification of strategies for solving programming problems using Aol sequence analysis by Obaidellah, Unaizah Hanum, Raschke, Michael, Blascheck, Tanja

    Published 2019
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  17. 17
    Adaptive neurofuzzy inference system for an active transfemoral prosthetic leg using in-socket sensory system / Nur Hidayah Mohd Yusof

    Adaptive neurofuzzy inference system for an active transfemoral prosthetic leg using in-socket sensory system / Nur Hidayah Mohd Yusof by Nur Hidayah , Mohd Yusof

    Published 2019
    “…In particular, this study focused on developing the control input framework in order to derive the used intention, as read by the in-socket sensory system, as control input into the main controller. …”
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  18. 18
    Signal quality measures for pulse oximetry through waveform morphology analysis

    Signal quality measures for pulse oximetry through waveform morphology analysis by Sukor, J. Abdul, Redmond, S. J., Lovell, N. H.

    Published 2011
    “…The mean error between both heart rate readings was 0.49 ± 0.66 beats perminute (BPM), in comparison to an error value observed without using the artifact detection algorithm of 7.23 ± 5.78 BPM. …”
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  19. 19
    A hybrid approach to improve recommendation system in E-tourism

    A hybrid approach to improve recommendation system in E-tourism by Rahman M.M., Zaki Z.B.M., Alwi N.H.B.M., Monirul Islam M.

    Published 2024
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  20. 20
    SVM based sentiment analysis for online shopping reviews

    SVM based sentiment analysis for online shopping reviews by Oad, Rajesh Kumar, Ghulamani, Sumbul, Ahmad, Umair Jamil, Shaikh, Amina, Shah, Asadullah

    Published 2025
    “…Users are also able to attach previously procured dataset files and the system classifies them producing results in form of charts and diagrams. The system uses Linear SVM algorithm and depicted better accuracy when compared with other similar classifiers.…”
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