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Journal Photo for Journal of Theory and Practice of Engineering Science
Peer reviewed only Open Access

Journal of Theory and Practice of Engineering Science (JTPES)

Publisher : CENTURY SCIENCE PUBLISHING CO
technologies Engineering Science
Claim Your Journal Get PRC Visit Website
e-ISSN 2790-1505
Issue Frequency Monthly
Est. Year 2023
DOI YES
Language English
APC YES

Journal Descriptions

Journal of Theory and Practice of Engineering Science (JTPES) is a monthly online, international, peer-reviewed journal. All articles published are rigorously and fast reviewed meeting the Journal Quality standards. JTPES is dedicated to publish empirical, academic, theoretical and review research articles that contribute to the practice in science, engineering, and related topics. The journal welcomes submissions in the areas of Electrical engineering, Mechanical engineering, Civil engineering, Chemical engineering, Aerospace engineering, Marine engineering, Computer engineering, Nanotechnology, Food science and technology, Bioengineering and Biotechnology, Applied Physics, Materials science and engineering, Optics, Instrumentation, Artificial intelligence, Big data, IOT, Cloud computing, Earth science, Space science, Logic, Mathematics, Statistics, Other areas related to science, technology and engineering.

Journal of Theory and Practice of Engineering Science (JTPES) is :-

  • International, Peer-Reviewed, Open Access, Refereed, technologies, Engineering, Science , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2790-1505, Established: 2023,
  • Provides Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of JTPES

Strategic Application of AI Intelligent Algorithm in Network Threat Detection and Defense
Hengyi Zang January, 2024
With the rapid development of information technology, the network has become the main platform for important activities such as People's Daily life, business and government. However, the iss...
The Prediction Trend of Enterprise Financial Risk based on Machine Learning ARIMA Model
Hengyi Zang January, 2024
The relevance of AI technology to abnormal prediction of corporate financial statements is reflected in its ability to identify and predict abnormal patterns in financial data through advanc...