Search Results - "Yan, Peizhi"

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  1. 1

    Utilizing deep learning and graph mining to identify drug use on Twitter data by Tassone, Joseph, Yan, Peizhi, Simpson, Mackenzie, Mendhe, Chetan, Mago, Vijay, Choudhury, Salimur

    “…The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the…”
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    Journal Article
  2. 2

    Non-iterative online sequential learning strategy for autoencoder and classifier by Paul, Adhri Nandini, Yan, Peizhi, Yang, Yimin, Zhang, Hui, Du, Shan, Wu, Q. M. Jonathan

    Published in Neural computing & applications (01-12-2021)
    “…Artificial neural network training algorithms aim to optimize the network parameters regarding the pre-defined cost function. Gradient-based artificial neural…”
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    Journal Article
  3. 3

    A Machine Learning Auxiliary Approach for the Distributed Dense RFID Readers Arrangement Algorithm by Yan, Peizhi, Choudhury, Salimur, Wei, Ruizhong

    Published in IEEE access (2020)
    “…This paper is an extended version of the work published. Radio-frequency identification (RFID) is widespread in industries such as supply-chain management and…”
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    Journal Article
  4. 4

    Deep Q-learning enabled joint optimization of mobile edge computing multi-level task offloading by Yan, Peizhi, Choudhury, Salimur

    Published in Computer communications (01-12-2021)
    “…In a mobile edge computing (MEC) network, mobile devices could selectively offload tasks to the edge server(s) to save time and energy. However, we should…”
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    Journal Article
  5. 5

    An energy-efficient topology control algorithm for optimizing the lifetime of wireless ad-hoc IoT networks in 5G and B5G by Yan, Peizhi, Choudhury, Salimur, Al-Turjman, Fadi, Al-Oqily, Ibrhaim

    Published in Computer communications (01-06-2020)
    “…Wireless ad-hoc IoT (WAIoT) is promising in providing connections for a considerable amount of devices in the next generation (5G and beyond 5G) networks. A…”
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    Journal Article
  6. 6

    Optimizing Mobile Edge Computing Multi-Level Task Offloading via Deep Reinforcement Learning by Yan, Peizhi, Choudhury, Salimur

    “…In a mobile edge computing (MEC) network, mobile devices could selectively offload tasks to the edge server(s) to save time and energy. However, we should…”
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    Conference Proceeding
  7. 7

    Learning Disentangled Features for Nerf-Based Face Reconstruction by Yan, Peizhi, Ward, Rabab, Wang, Dan, Tang, Qiang, Du, Shan

    “…The 3D-aware parametric face model named HeadNeRF achieved advantages in rendering photo-realistic face images. However, it has two limitations: (1) it uses…”
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    Conference Proceeding
  8. 8

    Evolution of microstructure and δ phase in an aging-treated nickel-based superalloy during hot compression by Yan, PeiZhi, Wen, DongXu, Liu, Yang, Huang, Liang, Yang, XiaoLi, Zhang, ZhiCheng, Xu, FuZe, Li, JianJun

    Published in Materials characterization (01-06-2023)
    “…The evolution of microstructure and δ phase (Ni3Nb) in an aging-treated nickel-based superalloy is studied by hot compression tests. Combining with the…”
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    Journal Article
  9. 9

    Can machine learning ‘transform’ peptides/peptidomimetics into small molecules? A case study with ghrelin receptor ligands by Liu, Wenjie, Hopkins, Austin M., Yan, Peizhi, Du, Shan, Luyt, Leonard G., Li, Yifeng, Hou, Jinqiang

    Published in Molecular diversity (01-10-2023)
    “…There has been considerable interest in transforming peptides into small molecules as peptide-based molecules often present poorer bioavailability and lower…”
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    Journal Article
  10. 10

    Developing and training artificial neural networks using bootstrap data envelopment analysis for best performance modeling of sawmills in Ontario by Shahi, Shashi K, Dia, Mohamed, Yan, Peizhi, Choudhury, Salimur

    Published in Journal of modelling in management (05-04-2022)
    “…Purpose The measurement capabilities of the data envelopment analysis (DEA) models are used to train the artificial neural network (ANN) models for the best…”
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    Journal Article
  11. 11

    A Distributed Graph-Based Dense RFID Readers Arrangement Algorithm by Yan, Peizhi, Choudhury, Salimur, Wei, Ruizhong

    “…Radio Frequency Identification (RFID) plays a key role in the Internet of things (IoT). The type of scenario that needs to use many readers to cover a large…”
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    Conference Proceeding
  12. 12

    Gaussian Deja-vu: Creating Controllable 3D Gaussian Head-Avatars with Enhanced Generalization and Personalization Abilities by Yan, Peizhi, Ward, Rabab, Tang, Qiang, Du, Shan

    Published 22-09-2024
    “…Recent advancements in 3D Gaussian Splatting (3DGS) have unlocked significant potential for modeling 3D head avatars, providing greater flexibility than…”
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    Journal Article
  13. 13

    Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach by Emu, Mahzabeen, Yan, Peizhi, Choudhury, Salimur

    “…Virtual Network Functions (VNFs) placed at the edge devices in the vicinity of users improve response time, avoid redundant utilization of core network, and…”
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    Conference Proceeding
  14. 14

    Utilizing Deep Learning to Identify Drug Use on Twitter Data by Tassone, Joseph, Yan, Peizhi, Simpson, Mackenzie, Mendhe, Chetan, Mago, Vijay, Choudhury, Salimur

    Published 08-03-2020
    “…The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the…”
    Get full text
    Journal Article