Application of machine learning in Earth sciences. A practical approach / Применение машинного обучения в науках о Земле. Практическое применение

A ConvGRU Deep Learning Algorithm to Forecast Global Ionospheric TEC Maps     
Sivakrishna Kondaveeti, P. Mahitha, G. Shivani, and T. Vaishnavi
Estimation of Daily Air Relative Humidity Using a Novel Outlier-Robust Extreme Learning Machine Model: A Case Study of Two Algerian Locations    
Khaled Merabet and Salim Heddam
Significance of Machine Learning in Understanding Earth’s Magnetosphere and Solar Activity     
Manjuleshwar Panda, Yogesh Chandra, and Deepak Pandey
Harnessing Artificial Intelligence for the Detection and Analysis of Microplastics and Associated Chemicals in the Atmosphere
S. Veerasingam, Prince Jebedass Isaac Chandran,
Hana Ahmed Abdallah Dardeer, M. Ranjani,
Hashir Puthkkudi Kuningarath, Saud Ghani, and Fadhil Sadooni
Application of Machine Learning in Bioremediation and Detection of Pollutants     
Dipti Madgaocar, Cannon Antony Fernandes, and Vasantha Veerappa Lakshmaiah
Machine Learning for Analysis of Water Flow in the Reservoirs and Monitoring of Air Quality     
Pankaj P. Tasgaonkar, Surendra Singh Choudhary, Aniket Mote, and Poonam Bhosale
Leveraging AI/ML for the Identification of Marine Organisms    
Nosad Sahu, Reshma Baburajan, P. K. Vrinda, N. Neethu, S. K. Salu, and Narayanane Saravanane
Application of Machine Learning in River Water Quality Monitoring     
J. Thresa Jeniffer and A. Joseph Thatheyus
Application of AI/ML in River Water Quality Monitoring     
Sanket Sunil Kawade, Gayatree Behera, H. B. Dhamagaye, and A. U. Pagarkar
Deep Neural Network for Water Mapping During Flood from SAR Images Using Matlab     
Jayasree Thazhath Veedu and Rajesh Reghunadhan
Advanced Hybrid Techniques for Accurate Streamflow Prediction in the Sybose Watershed, Algeria     
Salah Difl, Bilel Zerouali, and Salim Heddam
An Analysis on Surface Water Suitability for Drinking in Mahanadi River, Odisha, Using GIS-Machine Learning (ML) Techniques    
Abhijeet Das
Enhanced Prediction of Daily Streamflow Rates in Algerian Watersheds Using VMD-Optimized Deep Neural Network Architectures     
Noureddine Daif, Aziz Hebal, and Salim Heddam
AI and ML in Understanding Biosphere and Cross-Sphere Interactions     
Priyanka Priyadarshini Patra and Samiran Behera
Study of Biodiversity and Ecology Using a Machine Learning Approach    
J. Thresa Jeniffer and A. Joseph Thatheyus
Machine Learning Approach for the Above Biomass Estimation of Long Leaf Mahogany (Swietenia Macrophylla)     
Nobin Chandra Paul, S. B. Chavan, Shubham Gurav, Amrut Morade,
V. D. Kakade, Nilesh Jorvekar, P. Navyasree, K. Ravi Kumar,
V. N. Salunkhe, and K. S. Reddy
Advancing Forest Fire Prediction: Techniques and Applications for AI and Machine Learning    
Rufai Yusuf Zakari, Owais Ahmed Malik, and Ong Wee-Hong
Leveraging Deep Learning Algorithms for High-Temporal Resolution Analysis of Forest Phenological Dynamics Via Automated Digital Repeat Photography     
Dhruvi Sedha, Chandra Prakash Singh, Hitesh Solanki, and Jincy Rachel Mathew
Advancements in Tree-Biomass Assessment Methods: From Destructive to Non-destructive Approaches     
Subhajit Chanda, Sudipto Sanyal, Sanmitra Dan, and Ayushman Malakar
Enabling Artificial Intelligence (AI) and Machine Learning (ML) Techniques for Managing Forest Fires     
Uma Maheswara Rao Rayavarapu, Pranav Waila,
Pratheesh C. Mammen, and Muthu Rajkumar
Forecasting Influencing Parameter for CO2 and CH4 Emission
from Agriculture Using Lasso and Ridge Regression     
Pranali Kosamkar and Vrushali Kulkarni
A Review of the Machine Learning and Deep Learning Approach for Drought Monitoring    
Wasswa Shaflk
Understanding Climate Dynamics in Three Cities of Uttarakhand at Different Altitudes Using GEE and Nonparametric Methods     
Hazel Dhir, Saraansh Sablania, and Jigyasa Bisaria
Selection of Spectral Bands for the Detection of Dedicated Semantic Classes in Satellite Disaster Images by Latent Dirichlet Allocation     
Corneliu Octavian Dumitru, Chandrabali Karmakar, and Gottfried Schwarz
Geospatial Object Recognition Using Artificial Intelligence and Machine Learning    
Niteen Kumar Bankar, Ganesh Lokhande, and Kshitija Pisal
Comparative Evaluation of Machine Learning Algorithms for LULC Classification Using Sentinel-1 and Sentinel-2 Imagery     
Rajath Kumar, K. S. Aneesh, K. V. Ajay, K. V. Murali, andM. Kundariati
Machine Learning Based Assessment of Landscape Dynamics and Land Surface Temperature     
T. V. Ramachandra, T. R. Chandana, and Tulika Mondal
Machine Learning for Sustainable Development    
J. Thresa Jeniffer and A. Joseph Thatheyus
A Review of Machine Learning and Deep Learning Approaches for Crime Hotspots Prediction     
Auwal Sagir Muhammad, Rufa’i Yusuf Zakari, and Hauwa Sani Bello