About the Journal
The International Journal of Data Processing & Networking (IJDPN) is a peer-reviewed, open-access journal published quarterly online. It aims to advance scientific knowledge and share innovative research findings in data processing, networking, and their interdisciplinary applications. The journal welcomes original research, review articles, case studies, technical notes, and letters to the editor, providing a platform for academics, researchers, and practitioners to contribute to the scientific community.
Focusing on the latest trends in data processing and networking, the journal covers topics such as machine learning, artificial intelligence, data security, cloud computing, IoT, 5G networks, block chain, and other emerging technologies. The IJDPN is committed to publishing high-quality research that demonstrates technical advancements and offers insights into practical applications across industries, particularly in fields such as healthcare, education, finance, and communications.
The editorial and advisory boards consist of eminent scholars and industry experts from around the globe, ensuring that the journal maintains a high standard of scholarly integrity and contributes valuable knowledge to the growing data processing and networking field.
