All Stories

  1. ADVANCING WATER QUALITY PREDICTION: THE ROLE OF MACHINE LEARNING IN ENVIRONMENTAL SCIENCE
  2. DECIPHERING THE DEEP: MACHINE LEARNING APPROACHES TO UNDERSTANDING OCEANIC ECOSYSTEMS
  3. NAVIGATING THE COMPLEXITY: PSEUDO-CHAOTIC SYSTEMS AND MACHINE LEARNING
  4. Advancements in Artificial Intelligence Circuits and Systems (AICAS)
  5. MACHINE LEARNING - METHOD OR SOLUTION?
  6. HARNESSING XGBOOST 2.0: A LEAP FORWARD IN CLIMATE SCIENCE ANALYTICS
  7. XGBOOST IN ENVIRONMENTAL ECOLOGY: A POWERFUL TOOL FOR SUSTAINABLE INSIGHTS
  8. EMPOWERING OCEANIC RESEARCH: LEVERAGING GPT-4 ARCHITECTURE IN THE STUDY OF MARINE AEROSOLS
  9. Revolutionizing Marine Traffic Management: A Comprehensive Review of Machine Learning Applications in Complex Maritime Systems
  10. Leveraging random forest techniques for enhanced microbiological analysis: a machine learning approach to investigating microbial communities and their interactions
  11. Data Science and Plant Metabolomics
  12. Oxidative Status of Medicago truncatula Seedlings after Inoculation with Rhizobacteria of the Genus Pseudomonas, Paenibacillus and Sinorhizobium
  13. IoT in Water Quality Monitoring—Are We Really Here?
  14. Reintroduction of Groenlandia densa (L.) Fourr. – experiences and suggestions
  15. <span>Assessment of water quality using chemometric methods - a case study of Rusałka Lake, NW-Poland</span>
  16. Prediction of the Seasonal Changes of the Chloride Concentrations in Urban Water Reservoir
  17. Water quality and ecological role of urban lake: a case study of Słoneczne Lake in Szczecin (NW-Poland)
  18. Water quality; urban lake; multivariate statistical techniques
  19. Ponds Syrenie Stawy in Szczecin - Changes of Selected Water Quality Chemical Indices
  20. Water quality, halk, lake, linear regression
  21. Pollution of the Ecosystem of the Rusalka City Lake with Heavy Metals / Zanieczyszczenie Ekosystemu Śródmiejskiego Jeziora Rusałka Metalami Ciężkimi