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  1. 1
    Real-time algorithmic music composition application.

    Real-time algorithmic music composition application. by Yap, Alisa Yi Hui

    Published 2022
    “…In addition, the system also utilises JavaFx and jFugue for its graphical user interface and music programming respectively. …”
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    Final Year Project / Dissertation / Thesis
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  2. 2
    Application-Programming Interface (API) for Song Recognition Systems

    Application-Programming Interface (API) for Song Recognition Systems by Murtadha Arif Sahbudin, Chakib Chaouch, Salvatore Serrano

    Published 2024
    “…In addition the implementation is done by algorithm using Java’s programming language, executed through an application developed in the Android operating system. …”
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  3. 3
    Stock price monitoring system

    Stock price monitoring system by Ng, Chun Ming

    Published 2024
    “…As stock price is time series data, a time series prediction algorithm is being utilized to build a deep learning model, namely Long Short-Term Memory (LSTM). …”
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  4. 4
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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  5. 5
    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…Python 3.13 is used for dataset processing and EPDL model building. Upon converting PE files to images, the deep learning pixel-matching algorithm identifies obscured malware features. …”
    thesis::doctoral thesis
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  6. 6
    Feature recognition and classification of shanxi cave dwellings based on deep learning

    Feature recognition and classification of shanxi cave dwellings based on deep learning by Jia, Zong, Wan Mohamed, Wan Srihani, Zaky Jaafar, Mohamad Fakri, Ujang, Norsidah

    Published 2023
    “…Through detailed investigation and research on specific examples in Shanxi, the results are as follows: (1) We identify and classify the architectural features of Shanxi cave dwellings based on deep learning algorithm so that we can better understand and explore Shanxi cave dwellings. (2) By analyzing the present situation of examples, it is concluded that most villagers affirm the living comfort and regional adaptability of cave buildings, and the identification and classification of cave building features in Shanxi based on deep learning can provide effective reference, in order to better complete the renovation and development of cave buildings in Shanxi.…”
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  7. 7
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
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    Monograph
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  8. 8
    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework

    Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework by Asaad Aref, Ibrahim

    Published 2004
    “…A design proposal was outlined to provide an adaptive client/server approach to stream audio contents using Real-Time Transport Protocol (RTP) involving architecture based on the Java Media Framework (JMF) Application Programmable Interfaces (API).RTP protocol is the Internet-standard protocol for the transport of real-time data, including audio and video and can be implemented by using Java Media Framework (JMF). …”
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    Thesis
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  9. 9
    Movie recommendation system / Najwa Syamimie Hasnu

    Movie recommendation system / Najwa Syamimie Hasnu by Hasnu, Najwa Syamimie

    Published 2020
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    Thesis
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  10. 10
    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning

    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

    Published 2025
    “…Choosing a suitable optimization algorithm in deep learning is essential for effective model development as it significantly influences convergence speed, model performance, and the success of the train- ing process. …”
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    Proceeding Paper
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  11. 11
    Federated deep learning for automated detection of diabetic retinopathy

    Federated deep learning for automated detection of diabetic retinopathy by Zainal Abidin, Nadzurah, Ismail, Amelia Ritahani

    Published 2022
    “…Thus, in order to build a model that can compete with medical experts, deep learning algorithms must feed a huge number of instances or pool data from other institutions. …”
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    Proceeding Paper
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  12. 12
    Implementation of (AES) Advanced Encryption Standard algorithm in communication application

    Implementation of (AES) Advanced Encryption Standard algorithm in communication application by Moh, Heng Huong

    Published 2014
    “…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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    Undergraduates Project Papers
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  13. 13
    Brain tumor image segmentation using deep learning approach

    Brain tumor image segmentation using deep learning approach by Darshan, Suresh

    Published 2022
    “…Therefore, in this work, deep learning approach is used to build unassigned ensemble model which automatically segments tumor regions. …”
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  14. 14
    Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture

    Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture by Hanoon, Ammar N., Jaafar, M. S., Hejazi, Farzad, Aziz, Farah N .A. Abdul

    Published 2017
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  15. 15
    SANAsms: Secure short messaging system for secure GSM mobile communication

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The application is designed to satisfy the user friendly interfaces and intent to be used by the end user without having the advanced knowledge in mobile security. …”
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    Conference or Workshop Item
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  16. 16
    Design Of Robot Motion Planning Algorithm For Wall Following Robot

    Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

    Published 2006
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    Monograph
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  17. 17
    Study on crack detection using image processing techniques and deep learning – a survey

    Study on crack detection using image processing techniques and deep learning – a survey by Saleem, Muhammad Asif, Senan, Norhalina, Ahmad, Rehan

    Published 2020
    “…Due to continuous seasonal changes and low quality of development materials, cracks may create in the walls of the building. …”
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  18. 18
    Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment

    Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment by Latif S.D.

    Published 2023
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  19. 19
    A critical insight into pragmatic manifestation of diabetic retinopathy grading and detection

    A critical insight into pragmatic manifestation of diabetic retinopathy grading and detection by Sallam, Muhammad Samer, Olanrewaju, Rashidah Funke, Asnawi, Ani Liza

    Published 2019
    “…Various concepts in deep learning including traditional Artificial Neural Network (ANN) algorithm, ANN drawbacks in context of computer vision and image processing applications, and the best algorithm to overcome ANN drawbacks, CNN, have been elucidated along with the architecture. …”
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  20. 20
    An annotated image dataset of urban insects for the development of computer vision and deep learning models with detection tasks

    An annotated image dataset of urban insects for the development of computer vision and deep learning models with detection tasks by Lima, Min Hui, Chan, Hiang Hao, Ong, Song Quan

    Published 2025
    “…A large image dataset with the aim of developing an insect recognition algorithm like YOLO. …”
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