Dandao Xuebao, also known as the Journal of Ballistics, is a leading scholarly publication dedicated to advancing the field of ballistics through high-quality research and academic discourse. Our journal has been a cornerstone in promoting knowledge exchange and fostering innovation in the dynamic realm of ballistics.

Mission

Our mission is to serve as a platform for the dissemination of cutting-edge research, advancements, and insights in the field of ballistics. We are committed to facilitating a global dialogue among researchers, engineers, and practitioners, with the aim of promoting safety, efficiency, and excellence in ballistics-related disciplines.

Editorial Excellence

Dandao Xuebao is proud to boast an esteemed editorial board comprising renowned experts and scholars in the field of ballistics. Our rigorous peer-review process ensures that only the highest quality and most impactful research is published in our journal. We strive to maintain the highest standards of academic integrity and contribute to the global body of knowledge in ballistics.

Scope

The Journal of Ballistics covers a wide spectrum of topics, including but not limited to:

  • Projectile Dynamics
  • Interior Ballistics
  • Exterior Ballistics
  • Terminal Ballistics
  • Computational Ballistics
  • Experimental Techniques
  • Ballistic Materials
  • Firearm Design and Technology
  • Ballistic Protection

International Collaboration

We actively encourage and facilitate international collaboration among researchers, institutions, and organizations. By fostering an inclusive and diverse community, we aim to enhance the global impact of ballistics research and address the challenges facing the field.

Submission Guidelines

Authors interested in contributing to the Journal of Ballistics are invited to review our detailed submission guidelines available on our website. We welcome original research articles, reviews, and technical notes that align with the scope of our journal.

Vol. 35 No. 3 (2023)

Published: 2023-12-20

Predictive Maintenance in IoT Devices using Time Series Analysis and Deep Learning

Mohan Raparthi, Sarath Babu Dodda, Srihari Maruthi (Author)

01 - 10

DOI: https://doi.org/10.52783/dxjb.v35.113
DOI: https://doi.org/10.52783/dxjb.v35.119

Biometric Encryption: Integrating Artificial Intelligence for Robust Authentication

Muhammad Saad Zahoor, Ahmad Fawad, Jayasundar S, Sivasubramanian Balasubramanian, Mohan Raparthi, Rajeswary Nair (Author)

25 - 33

DOI: https://doi.org/10.52783/dxjb.v35.121

Machine Learning in Precision Manufacturing: A Collaborative Computer and Mechanical Engineering Perspective

Ahmad Fawad, Muhammad Saad Zahoor, Srihari Maruthi, Sivasubramanian Balasubramanian, Nand Kumar, Mohan Raparthi (Author)

34 - 43

DOI: https://doi.org/10.52783/dxjb.v35.123

Cloud-Computing and Fuzzy-PI Based Maximum Power Point Tracking for Optimizing Photovoltaic System Performance

Shoeb Peer Syed, M. Devi Priya, P.V.S.N Jyothi, Shabnam Rahmani (Author)

44 - 49

DOI: https://doi.org/10.52783/dxjb.v35.129

Optimizing Resistance Spot Welding for Enhanced Strength and Nugget Formation: A Taguchi Approach.

Sachin K. Dahake, Nilesh Diwakar, Shyamkumar D. Kalpande (Author)

50 - 67

DOI: https://doi.org/10.52783/dxjb.v35.131

Enhancing Power Flow Control: A Comparative Study of Genetic Algorithm and Particle Swarm Optimization

Benjamin Dangmei, Mohammad Asif Iqbal, Atul Kumar Dadhich (Author)

68 - 75

DOI: https://doi.org/10.52783/dxjb.v35.133
DOI: https://doi.org/10.52783/dxjb.v35.137
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