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  1. 1
    Automated plant classification system using a hybrid of shape and color features of the leaf

    Automated plant classification system using a hybrid of shape and color features of the leaf by Hamid, Laith Emad

    Published 2016
    “…Automated plant leaf classification is a computerized approach that employs computer vision and machine learning algorithms to identify a plant based on the features of its leaf. …”
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  2. 2
    Leaf condition analysis using convolutional neural network and vision transformer

    Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

    Published 2024
    “…Besides, existing leaf disease detection programs do not provide an optimized user’s experience. …”
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  3. 3
    Plant leaf recognition algorithm using ant colony-based feature extraction technique

    Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

    Published 2013
    “…Then, based on the characteristics of each species, decision making is done by means of ant colony optimisation as a search algorithm to return the optimal subset of features regarding the related species. …”
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  4. 4
    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning

    Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning by Safa, Soodabeh

    Published 2016
    “…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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  5. 5
    User-Device Authentication Model With Digital Certificate For Smartphone User

    User-Device Authentication Model With Digital Certificate For Smartphone User by Sakiinah binti Altaf Hussain

    Published 2024
    thesis::master thesis
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  6. 6
    Deep plant: A deep learning approach for plant classification / Lee Sue Han

    Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

    Published 2018
    “…They look for the procedures or algorithms that maximize the use of leaf databases for plant predictive modelling, but this results in leaf features which are liable to change with different leaf data and feature extraction techniques. …”
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  7. 7
    Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning

    Enhancing battery state of charge estimation through hybrid integration of barnacles mating optimizer with deep learning by Zuriani, Mustaffa, Mohd Herwan, Sulaiman

    “…In response to the growing importance of SoC estimation, this study introduces a hybrid approach called the Barnacles Mating Optimizer with Deep Learning (BMO-DL) for SoC of Nissan Leaf batteries. …”
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  8. 8
    A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm

    A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm by Nur Alya Afikah, Usop

    Published 2024
    “…By dispersing the numbered original data as far away from the original locations as feasible, the strategies made use of specific numbering systems. Similar processes are used in the generation and embedding phases of a watermark. …”
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  9. 9
    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system

    Introducing new statistical shape based and texture feature extraction methods in the plant species recognition system by Seyed Mohammad Hussein, Ahmad, Siti Anom, Hassan, Mohd Khair, Ishak, Asnor Juraiza

    Published 2013
    “…The results show the outperformance of the two proposed methods for image processing and optimized classifier for classification part. …”
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  10. 10
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad by Ahmad, Nurul Atirah

    Published 2023
    “…Thus, this project aims to classify and generate a list of potential job applicants by analyzing various attributes of their LinkedIn accounts, such as title, location, skills, education, language, certification, and experience. This project implements the Naive Bayes algorithm as the classification algorithm. …”
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  11. 11
    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad Kushairi

    Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad, Khyrina Airin Fariza Abu Samah and Nuwairah Aimi Ahmad... by Ahmad, Nurul Atirah, Abu Samah, Khyrina Airin Fariza, Ahmad Kushairi, Nuwairah Aimi

    Published 2023
    “…The recruitment process is vital for organizations. In the digital era, social media platforms like LinkedIn have become famous for recruitment, and recruiters widely use them to find potential employees. …”
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    Book Section
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  12. 12
    Exploring classification for sentiment analysis from halal based tweets

    Exploring classification for sentiment analysis from halal based tweets by Setik, Roziyani, Raja Lope Ahmad, Raja Mohd Tariqi, Marjudi, Suziyanti

    Published 2021
    “…It usually assigns a polarity of “positive”, “negative” or “neutral”. It uses an algorithmic technique to capture people's thoughts, sentiments, and emotions by incorporating Natural Language Processing and Machine Learning technology. …”
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  13. 13
    EstiCal: food calorie image recognition mobile application by using feature descriptor technique / Muhammad Asyraf Suhaimi

    EstiCal: food calorie image recognition mobile application by using feature descriptor technique / Muhammad Asyraf Suhaimi by Suhaimi, Muhammad Asyraf

    Published 2018
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  14. 14
    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm

    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm by Ahmadi, Seyedeh Parisa

    Published 2018
    “…In conclusion, for early detection of Ganoderma, better accuracies were derived from the spectroradiometer which is a destructive and ground based method and still requires individual leaf sampling. …”
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  15. 15
    Rabin-p encryption scheme analysis on MQTT

    Rabin-p encryption scheme analysis on MQTT by Che Izam, Wan Abdullah, Syed Adnan, Syed Farid, Asbullah, Muhammad Asyraf

    Published 2023
    “…However, Rabin-p offers a lower processing algorithm. A conclusion can be made that using Rabin-p in MQTT can help improve the payload security since Rabin-p offers a complex algorithm which is it harder to decrypt the messages when communicating between devices. …”
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  16. 16
    Speech dereverberation enhancement

    Speech dereverberation enhancement by Khalifa, Othman Omran, Hasmad, Safiyah, Abdul Malik, Noreha

    Published 2020
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  17. 17
    Reliable access control for mobile cloud computing (MCC) with cache-aware scheduling

    Reliable access control for mobile cloud computing (MCC) with cache-aware scheduling by Jamal, Fara, Abdullah, Mohd Taufik, Mohd Hanapi, Zurina, Abdullah, Azizol

    Published 2019
    “…However, most of the ABE used single certification authority (CA) and disjoint attribute authority (AA) to verify user identity which can be a single point of failure. …”
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  18. 18
    Employing Public Key Infrastructure to Encapsulate Messages During Transport Layer Security Handshake Procedure

    Employing Public Key Infrastructure to Encapsulate Messages During Transport Layer Security Handshake Procedure by Nayeem Ahmad, Khan, Adnan Shahid, Khan, Seleviawati, Tarmizi, Azlina, Ahmadi Julaihi, Zeeshan, Ahmad

    Published 2022
    “…These protocols have been successfully used to protect World Wide Web communication between a client and a server that has been encoded using the HTTP protocol for many years. …”
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  19. 19
    An investigation into influence factor of student programming grade using association rule mining

    An investigation into influence factor of student programming grade using association rule mining by Mohamad Mohsin, Mohamad Farhan, Abd Wahab, Mohd Helmy, Zaiyadi, Mohd Fairuz, Hibadullah, Cik Fazilah

    Published 2010
    “…The dataset consisting of 4 19 records with 70 attributes were pre-processed and then mined using directed association rule mining algorithm namely Apriori. …”
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  20. 20
    Traffic congestion detection for smart and control transportation management

    Traffic congestion detection for smart and control transportation management by Khalifa, Othman Omran, Marzuki, Azri A., Abdul Malik, Noreha, Hassan Gani, Mohammad H.

    Published 2020
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