Search Results - "deep learning techniques"

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    Deep learning-based recommendation system: systematic review and classification by Li, Caiwen, Ishak, Iskandar, Ibrahim, Hamidah, Zolkepli, Maslina, Sidi, Fatimah, Li, Caili

    Published 2023
    “…Our review paper offers insights into the deep learning techniques used across different recommendation systems and provides suggestions for future research. …”
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    An Overview on Deep Learning Techniques in Solving Partial Differential Equations by Yunus, R.B., Abdul Karim, S.A., Shafie, A., Izzatullah, M., Kherd, A., Hasan, M.K., Sulaiman, J.

    Published 2022
    “…Owing to the rapid growth of accessible data and computing expedients, recent developments in deep learning techniques for the solution of (PDEs) have yielded outstanding results on distinctive problems. …”
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    Malaria parasite detection from human blood smear images using deep learning techniques by Teow, Yi Jia

    Published 2023
    “…Additionally, the objective is to develop a convolutional neural network (CNN) based on deep learning techniques to detect malaria in medical cell images through image classification. …”
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    Final Year Project / Dissertation / Thesis
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    Human activity recognition with smartphone and wearable sensors using deep learning techniques: a review by Ramanujam, E., Perumal, Thinagaran, Padmavathi, S.

    Published 2021
    “…Thus, this review paper focuses on providing profound concise of deep learning techniques used in smartphone and wearable sensor-based recognition systems. …”
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    DEVELOPMENT OF STOCK MARKET PREDICTION MOBILE SYSTEM IN BLUE CHIP STOCKS FOR MALAYSIA SHARE MARKET USING DEEP LEARNING TECHNIQUE by Chong, Fong Kim, Yong, Sik Tian, Yap, Choi Sen

    Published 2020
    “…This paper will look into the use of deep learning technique in developing a stock prediction system in mobile android platform with the features of predicting and recommending stock price mainly for blue chip stock in Malaysia Stock Market. …”
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    TWEERIFY: A Web-Based Sentiment Analysis System Using Rule and Deep Learning Techniques by Akande, O.N., Nnaemeka, E.S., Abikoye, O.C., Akande, H.B., Balogun, A., Ayoola, J.

    Published 2022
    “…This research presents a novel approach to carry out aspect-level sentiment analysis of usersâ�� tweets using rule and convolutional neural network (CNN)-based deep learning technique. The rule-based technique was used to detect and extract sentiments from preprocessed tweets, while the CNN-based deep learning technique was employed for the sentiment polarity classification. …”
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    An intrusion detection system for DDoS flooding attacks on IPv6 networks using deep learning techniques by Ahmed Marwan, Idrees Aleesa

    Published 2021
    “…Accordingly, the result of the optimal deep learning technique for the four models with the developed dataset DDoS-IPv6 are between 99.79% and 99.996% and losses are between 0.0014% and 0.781%. …”
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    Thesis
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    Real-Time Detection of Personal Protective Equipment for Site Safety Using Deep Learning Techniques by Muhammad Hadif, Dzulkhissham

    Published 2022
    “…This paper presents a deep learning technique for detecting multiple personal protection equipment at once based on You-Only-Look-Once Version 4 (YOLOv4) object detection algorithm. …”
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    Undergraduates Project Papers
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    A Real-Time Brain-Computer Interface (BCI) framework for sleep state stimulation using a deep-learning technique: proposal by Handayani, Dini Oktarina Dwi, Yaacob, Hamwira Sakti, Osmani, Noor Mohammad, Attarbashi, Zainab

    Published 2022
    “…However, the current study on deep-learning techniques regarding the sleep analysis that can give real-time results is still scarce compared to the offline sleep analysis. …”
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    Proceeding Paper
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    A real-time Brain-Computer Interface (BCI) framework for sleep state stimulation using a deep-learning technique: proposal by Handayani, Dini, Yaacob, Hamwira Sakti, Attarbashi, Zainab, Osmani, Noor Mohammad, Jamaludin, Mohammad Aizat, Altaleb, Abdulazeez E.

    Published 2022
    “…However, the current study on deep-learning techniques regarding the sleep analysis that can give real-time results is still scarce compared to the offline sleep analysis. …”
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    Proceeding Paper
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    Deep learning techniques for advanced drone detection systems: a comprehensive review of techniques, challenges and future directions by Muhammad Zamri, Fatin Najihah, Gunawan, Teddy Surya, Kartiwi, Mira, Pratondo, Agus, Yusoff, Siti Hajar, Mustafah, Yasir Mohd.

    Published 2024
    “…This paper provides a comprehensive review of the latest advancements in drone detection systems leveraging deep learning techniques, covering the period from 2020 to 2024. …”
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    Single-cell classification, analysis, and its application using deep learning techniques by Premkumar, R., Srinivasan, Arthi, Harini Devi, K.G., Deepika, M., Gaayathry, E., Jadhav, Pramod, Futane, Abhishek, Narayanamurthy, Vigneswaran

    Published 2024
    “…To overcome these challenges, various deep learning techniques (DL) have outperformed standard state-of-the-art computer algorithms in SCA techniques. …”
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    Distributed denial of service attack Detection in IoT networks using deep learning and feature fusion : A review by Nuhu Ahmad, Abdul hafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad Syafadhli, Abu Bakar

    Published 2024
    “…Importantly, it highlights the current challenges and limitations of these deep learning techniques based on the literature surveyed. …”
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    Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review by Nuhu Ahmad, Abdulhafiz, Anis Farihan, Mat Raffei, Mohd Faizal, Ab Razak, Ahmad, Abubakar

    Published 2024
    “…Importantly, it highlights the current challenges and limitations of these deep learning techniques based on the literature surveyed. …”
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    Emotion speech recognition using deep learning by Khalifa, Othman Omran, Alhamada, M. I., Hassan Abdalla Hashim, Aisha

    Published 2020
    “…In this paper, an overview of Deep Learning techniques that could be used in Emotional Speech recognition is presented. …”
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