Vol. 2 No. 5 (2024)

					View Vol. 2 No. 5 (2024)

All content published in this issue has undergone peer review and strict repetition rate checks have been conducted.

Number of articles in this issue: 10
Number of pages in this issue: 79

If you have any questions about the content of this issue, you can contact each author via email. For questions about the journal itself, you can directly contact SUAS Press.

Published: 2024-10-01

Articles

  • Authors: Runhai He, Zhenxing Zhang, Shoujing Zhang, Qingqing Song
    Resource Type: Article
    Publication ID: v2n5a01
    Abstract: This paper investigates the performance of a variety of machine learning models for Apple stock price prediction, covering linear regression, ridge regression, Lasso regression, SVM, weighted average, stacked model, and random forest methods. The...
    1-9
    DOI Icon Abstract views: 84 | DOI Icon PDF downloads: 24 | DOI Icon references: 18
    https://doi.org/10.5281/zenodo.13821480 https://n2t.net/ark:/40704/JIEAS.v2n5a01
    DOI Icon DOI: 10.5281/zenodo.13821480
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a01
  • Authors: Zichao Li, Bingyang Wang, Ying Chen
    Resource Type: Article
    Publication ID: v2n5a02
    Abstract: In this paper, we explore the application of Knowledge Graph Embedding (KGE) techniques and Few-Shot Relational Learning (FSL) methods to the domain of digital assets, particularly focusing on NFT recommender systems. We evaluate the effectiveness...
    10-18
    DOI Icon Abstract views: 149 | DOI Icon PDF downloads: 49 | DOI Icon references: 42
    https://doi.org/10.5281/zenodo.13844366 https://n2t.net/ark:/40704/JIEAS.v2n5a02
    DOI Icon DOI: 10.5281/zenodo.13844366
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a02
  • Authors: Chengye Liu, Zhihuai Lyu
    Resource Type: Article
    Publication ID: v2n5a03
    Abstract: Multicore processors, which integrate multiple processing units onto one chip, have become an increasingly important solution to meet rising computing needs. In this paper we present an in-depth examination of multicore architecture design...
    19-23
    DOI Icon Abstract views: 107 | DOI Icon PDF downloads: 58 | DOI Icon references: 36
    https://doi.org/10.5281/zenodo.13845097 https://n2t.net/ark:/40704/JIEAS.v2n5a03
    DOI Icon DOI: 10.5281/zenodo.13845097
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a03
  • Authors: Weikun Lin, Jingxuan Xiao, Zuen Cen
    Resource Type: Article
    Publication ID: v2n5a04
    Abstract: Natural Language Processing (NLP) technologies have revolutionized human-computer interactions, allowing machines to understand and generate human language with unparalleled precision. This advancement has created numerous applications, from...
    24-28
    DOI Icon Abstract views: 83 | DOI Icon PDF downloads: 29 | DOI Icon references: 16
    https://doi.org/10.5281/zenodo.13845132 https://n2t.net/ark:/40704/JIEAS.v2n5a04
    DOI Icon DOI: 10.5281/zenodo.13845132
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a04
  • Authors: Zhihuai Lyu
    Resource Type: Article
    Publication ID: v2n5a05
    Abstract: Complex chip designs necessitate innovative strategies in order to accelerate and streamline their design processes. This paper investigates the use of machine learning (ML) techniques in chip design, with emphasis placed on optimizing strategies...
    29-32
    DOI Icon Abstract views: 106 | DOI Icon PDF downloads: 26 | DOI Icon references: 27
    https://doi.org/10.5281/zenodo.13845111 https://n2t.net/ark:/40704/JIEAS.v2n5a05
    DOI Icon DOI: 10.5281/zenodo.13845111
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a05
  • Authors: Dutao Zhang, Boyi Li
    Resource Type: Article
    Publication ID: v2n5a06
    Abstract: The following literature review and research is devoted to Models of human-AI interaction in software development. The following literature review and research focuses on human-computer interaction modeling in software development. It focuses on...
    33-38
    DOI Icon Abstract views: 29 | DOI Icon PDF downloads: 17 | DOI Icon references: 15
    https://doi.org/10.5281/zenodo.13845335 https://n2t.net/ark:/40704/JIEAS.v2n5a06
    DOI Icon DOI: 10.5281/zenodo.13845335
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a06
  • Authors: Mary J Bartra
    Resource Type: Article
    Publication ID: v2n5a07
    Abstract: This research paper explores the intersection of Incremental Learning and Unlearning in the context of machine learning, with a particular emphasis on dynamic environments where data evolves rapidly, and models must continuously adapt. Incremental...
    39-47
    DOI Icon Abstract views: 124 | DOI Icon PDF downloads: 37 | DOI Icon references: 26
    https://doi.org/10.5281/zenodo.13854241 https://n2t.net/ark:/40704/JIEAS.v2n5a07
    DOI Icon DOI: 10.5281/zenodo.13854241
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a07
  • Authors: Fanyi Zhao, Mingxuan Zhang, Shiji Zhou, Qi Lou
    Resource Type: Article
    Publication ID: v2n5a08
    Abstract: With the gradual development and integration of artificial intelligence into various industries, there is also a great range of integration in the financial industry. Therefore, this article focuses on the trend prediction model and financial risk...
    48-55
    DOI Icon Abstract views: 69 | DOI Icon PDF downloads: 35 | DOI Icon references: 18
    https://doi.org/10.5281/zenodo.13854906 https://n2t.net/ark:/40704/JIEAS.v2n5a08
    DOI Icon DOI: 10.5281/zenodo.13854906
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a08
  • Authors: Ming Wei, Yanli Pu, Qi Lou, Yida Zhu, Zeyu Wang
    Resource Type: Article
    Publication ID: v2n5a09
    Abstract: This paper introduces risk management and competitive advantage in fixed-income trading, machine learning, high-volume trading (HFT), and natural language processing (NLP). The system integrates advanced analytics and deep learning techniques to...
    56-67
    DOI Icon Abstract views: 178 | DOI Icon PDF downloads: 53 | DOI Icon references: 40
    https://doi.org/10.5281/zenodo.13858262 https://n2t.net/ark:/40704/JIEAS.v2n5a09
    DOI Icon DOI: 10.5281/zenodo.13858262
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a09
  • Authors: Bo Yuan, Guanghe Cao, Jun Sun, Shiji Zhou
    Resource Type: Article
    Publication ID: v2n5a10
    Abstract: This research presents a new resource allocation method for optimising AI task distribution in multi-cloud environments. The proposed approach addresses the challenges of managing complex AI operations across different environments, focusing on...
    68-79
    DOI Icon Abstract views: 180 | DOI Icon PDF downloads: 61 | DOI Icon references: 40
    https://doi.org/10.5281/zenodo.13863194 https://n2t.net/ark:/40704/JIEAS.v2n5a10
    DOI Icon DOI: 10.5281/zenodo.13863194
    DOI Icon ARK: ark:/40704/JIEAS.v2n5a10