Journals
-
Transdisciplinary Quarterly of Data Mining, High-Level Synthesis, and Cybersecurity
Transdisciplinary Quarterly of Data Mining, High-Level Synthesis, and Cybersecurity (TQDMHLSC) is a scholarly journal that explores the intersection of data mining, hardware-software co-design, and cybersecurity. It publishes cutting-edge research on advanced data analytics, high-level synthesis methodologies for hardware acceleration, and secure computing frameworks. Emphasizing a transdisciplinary approach, the journal fosters collaboration between data scientists, engineers, and security experts to address challenges in intelligent data processing, optimized computing architectures, and cyber resilience.
