Artificial Intelligence and Data Science in Environmental Sensing

<p>1. Smart sensing technologies for wastewater treatment plants<br>2. Recent advancement in antennas for environmental sensing<br>3. Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport<br>4. Language of Response Surface Methodology (RSM) as an experimental strategy for electrochemical wastewater treatment process optimization<br>5. Artificial intelligence and sustainability: Solutions to social and environmental challenges<br>6. Application of multi attribute decision making tools for site analysis of offshore wind turbines<br>7. Recent Advances of Image Processing Techniques in Agriculture<br>8. Applications of Swarm Intelligence in Environmental Sensing<br>9. Machine learning applications for developing sustainable construction materials<br>10. The AI-assisted removal process of contaminants in the aquatic environment<br>11. Recent progress in biosensors and data processing systems for wastewater monitoring and surveillance<br>12. Machine learning in surface plasmon resonance for environmental monitoring</p>