Advanced Sensing Systems for Biological Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 74
Special Issue Editors
Interests: automated biological monitoring; biological image analysis; behavioral tracking and analysis; automated bio-monitoring systems; marine monitoring systems
Special Issues, Collections and Topics in MDPI journals
Interests: pattern recognition; character recognition; image processing; computer vision; human–computer interaction; neurological disease analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in sensing systems have significantly enhanced biological monitoring across various environments, including terrestrial, aquatic, and aerial ecosystems, and the integration of cutting-edge technologies, such as artificial intelligence (AI), Internet of Things (IoT), machine learning, and novel sensor designs, has enabled precise, real-time data collection for diverse biological applications. These systems are crucial for tracking biodiversity, assessing ecosystem health, monitoring species distribution, and understanding environmental changes.
This Special Issue aims to highlight recent innovations and breakthroughs in advanced sensing systems for biological monitoring and we invite contributions that explore the development, implementation, and application of these technologies in various biological and ecological domains. We invite high-quality contributions on topics including, but not limited to, the following:
- Smart and autonomous sensor networks for real-time biological monitoring;
- AI-driven image and signal processing techniques for biological data analysis;
- Remote and underwater sensing technologies for biodiversity assessment;
- UAVs and satellite-based sensing for ecological monitoring;
- Bio-inspired and bio-integrated sensors for environmental applications;
- IoT-enabled biological monitoring systems and data fusion techniques;
- Applications of machine learning in biological monitoring and species recognition;
- Innovations in wearable and implantable biosensors for wildlife and human health monitoring;
- Advanced data analytics and predictive modeling for biological system behavior;
- Case studies and field applications of biological monitoring technologies.
We welcome researchers, engineers, and industry professionals to submit their latest findings, contributing to the future of intelligent sensing and monitoring technologies.
Dr. Chunlei Xia
Prof. Dr. Jungpil Shin
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- biological monitoring
- ecological monitoring
- biodiversity assessment
- sensing systems
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