Volume I, Issue 1 of the Pioneer Research Journal of Computing Science features a selection of pioneering research that explores innovative approaches to modern challenges in the field of computing. This inaugural issue covers diverse topics, offering valuable insights into advanced techniques and emerging technologies. The featured articles include:

  1. Advanced Circuit Techniques for Secure Analog Neural Implementations

  2. Integrating AI-Driven Anomaly Detection with Blockchain for Enhanced Security in IoT Networks
  3. Leveraging Federated Learning for Enhanced Privacy in Cybersecurity Applications: A Comparative Study of Traditional vs. AI-Driven Approaches
  4. Leveraging Machine Learning for Biometric Authentication: Enhancing Security in Online Systems
  5. Advancements in Generative AI: Transforming Text-to-Image Models
  6. Explainable AI: Bridging the Gap Between Black Box Models and Interpretability
  7. Optimizing Stock Price Prediction with LightGBM and Engineered Features
  8. The Role of Artificial Intelligence in Sales Force Automation: A Paradigm Shift in CRM Systems

Each of these studies reflects the journal's mission to showcase cutting-edge research that pushes the boundaries of computing science, with a particular focus on security, privacy, and AI technologies. This issue sets the tone for future volumes, positioning the Pioneer Research Journal of Computing Science as a key platform for the latest advancements in the field.

Published: 2024-03-30