Machine learning methods for Android malware detection by Xu, Zhengzi

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Analysis of TEM data using machine learning methods by Muhammed Imran Khairul Alam

“…This paper also presents a comparison of imaging techniques, such as filtering and machine learning methods, that would improve the quality of the raw liquid phase images.…”
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Ensemble hybrid learning methods for automated depression detection by Ansari, Luna, Ji, Shaoxiong, Chen, Qian, Cambria, Erik

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Predict marine vessels’ trajectory with machine learning methods by Cho, Siqi

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Exchange rate prediction based on machine learning methods by Hong, Yuyue

“…In this paper, we use machine learning methods mentioned above to forecast the exchange rate between five different currencies and the United States dollar. …”
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Stock market price forecasting with machine learning methods by Zhu, Huilin

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Sparse machine learning methods for financial signal processing by Pucha Srinivasa Sai Chakravarthy

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USN: a robust imitation learning method against diverse action noise by Yu, Xingrui, Han, Bo, Tsang, Ivor Wai-Hung

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Fuzzy granular computing classifier with practicle swarm optimization learning method / by Saber Salehi, 1982-, author 599901, Ali Selamat, supervisor 389865, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Fuzzy granular computing classifier with practicle swarm optimization learning method / by Saber Salehi, 1982-, author 599901

Graph-based deep learning method for human-object interaction recognition / by Zhang, Jiali, 1987-, author 655167, Zuriahati Mohd. Yunos, 1977-, supervisor 605156, Fakulti Komputeran 538688

Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…A thorough literature evaluation is required to have a comprehensive overview of the current research on utilizing deep learning methods for email spam classification. This review aims to identify the various deep learning techniques used for email spam, their effectiveness, and areas for future research. …”
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Deep learning methods to study structurally heterogeneous macromolecules in vitro and in situ by Powell, Barrett M.

“…This thesis describes the conceptualization, implementation, and application of tomoDRGN, a deep learning method developed to resolve structurally heterogeneous macromolecules in situ. …”
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Robust and efficient deep learning methods for vision-based action recognition by Xu, Yuecong

“…Significant progress has been made in vision-based action recognition thanks to the development of recognition technologies, particularly deep learning methods which have proven their effectiveness in visual recognition tasks, such as image classification. …”
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Process control of water treatment facilities using machine learning method by Tey, Shiyang

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Machine learning and deep learning methods for exchange-traded fund trading by Jeremia, Alexander

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Deep learning method for driver identification using vehicle sensor data by Chen, Youzhen

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A unified fisher’s ratio learning method for spatial filter optimization by Li, Xinyang, Guan, Cuntai, Zhang, Haihong, Ang, Kai Keng

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Sustainable oil palm resource assessment based on an enhanced deep learning method by Liu, Xinni, Kamarul Hawari, Ghazali, Shah, Akeel A.

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Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries by Madani, Seyed Saeed, Ziebert, Carlos, Vahdatkhah, Parisa, Sadrnezhaad, Sayed Khatiboleslam

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