Abstract
This inaugural editorial of the International Journal of Intelligent Signal Processing (IJISP) highlights the integration of artificial intelligence (AI), machine learning (ML), and traditional signal processing, transforming fields such as biomedical diagnostics, cybersecurity, autonomous systems, and communications. Despite advances, challenges such as data scarcity, computational complexity, model interpretability, and ethical concerns persist. IJISP aims to address these through high-impact research, interdisciplinary collaboration, and real-world applications. This issue explores emerging trends, including deep learning, edge AI, quantum computing, and privacy-preserving models, while emphasizing scientific rigor, transparency, and reproducibility in its editorial process. AI-driven techniques are enhancing efficiency and accuracy, yet challenges in robustness, fairness, and scalability remain. The journal calls for interdisciplinary research, open-access data sharing, and industry-academia partnerships to advance the field. Committed to scientific excellence, ethical AI, and practical impact, IJISP invites contributions that push the boundaries of intelligent signal processing.
Keywords
adaptive signal processing
artificial intelligence (AI)
communications
cybersecurity
data-driven signal processing
machine learning (ML)
intelligent signal processing
Funding
This work was not supported by any funding.
Cite This Article
APA Style
Alexan, W. (2025). Intelligent Signal Processing: A New Era of Innovation and Discovery. International Journal of Intelligent Signal Processing, 1(1), 1–10. https://doi.org/10.62762/IJISP.2025.413034
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