We are pleased to offer solutions for environmental monitoring, search, recognition and prediction of processes or events:

• design of early flood prediction systems based on hybrid neural networks and LSTM networks;
• monitoring of water quality in natural and artificial reservoirs by images taken from UAVs or satellites using hybrid neural networks and LSTM networks;
• search for sources of environmental pollution by images taken from UAVs or satellites using hybrid neural networks and LSTM networks;
• designing a system for modeling and assessing the consequences of global climate change, as well as the impact on individual biological ecosystems;
• designing a system for modeling the impact of floods, fires, earthquakes on infrastructure to manage risks and prevent the onset of negative consequences;
• solutions to automate the processes of recognition, accounting and prevention of harmful emissions into the environment.