AI, Sensors and Algorithms for Bioacoustic Applications

Dear Colleagues,

Advances in sensors, artificial intelligence, and algorithms are opening new opportunities for understanding the natural world. Modern bioacoustic sensors can capture incredibly rich signals, from animal vocalizations to the complex soundscapes of ecosystems. To make sense of these data, we need intelligent computational approaches that can recognize patterns, deal with uncertainty, and deliver results that are meaningful in practice.

This Special Issue focuses on the ways in which AI and advanced algorithms can unlock the potential of sensor data in bioacoustic applications. We are particularly interested in work that shows how these technologies can support environmental monitoring, biodiversity assessment, animal behavior studies, and ecological conservation. Both research articles and reviews are welcome, especially those that demonstrate practical impact or connect mathematical and computational innovations with real-world challenges.

The topic fits naturally with the scope of Sensors, which connects sensor technologies with the methods that allow them to be applied effectively. By combining advances in hardware, algorithms, and AI, we aim to highlight research that is not only technically innovative but also contributes to sustainable environments and the understanding of natural ecosystems.

Dr. Iman Ardekani
Prof. Dr. Hossein Sarrafzadeh
Dr. Mahsa Mohaghegh
Guest Editors

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