Towards Sustainable and Advanced Environmental Solutions

Abstract

The pressing nature of environmental challenges underscores the need for a collaborative endeavor to leverage advanced solutions in monitoring and preserving our ecosystems. This special issue endeavors to highlight state-of-the-art research and advancements toward sustainable and advanced environmental solutions, encompassing diverse aspects of environmental monitoring and sustainability. By delving into the convergence of advanced environmental solutions, artificial intelligence, and environmental sciences, our goal is to cultivate a profound comprehension of the pivotal role that advanced environmental solutions play in shaping a more ecofriendly and resilient future.
The Embedded Self-Organizing Systems (ESS) journal comprises a set of carefully selected tracks that focus on the particular challenges regarding AI-driven Solutions for Sustainable Environment Monitoring. Topics of (ESS) journal include (but not limited to):
• Air Quality Monitoring and Pollution Control.
• Natural Disaster Prediction and Response.
• Remote Sensing for Environmental
Monitoring.
• Precision Agriculture and Water Management.
• Development and deployment of AI
applications in IoT and robotics domains.
• Eco-friendly Industrial Processes.
• Automotive software applications and solutions
• AI solutions for drone technology
• Explainable Artificial Intelligence
• Waste Management and Recycling
Optimization
• AI and ML-based optimization methods for
industrial or practical applications
• Computer Vision and Robotics
• Intelligent User Interfaces
• Machine learning and artificial intelligent systems analysis, modeling, simulation, and application in computer vision.