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Photogrammetry and Remote Sensing2026

ESTIMATION OF BIOMASS USING GEDI LIDAR DATA, HARMONIZED LANDSAT SENTINEL-2 (HLS) IMAGERY, AND GRADIENT BOOSTING MACHINE LEARNING

Zhiyong Hu · SWS 2026 Conference Preprints

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Photogrammetry and Remote Sensing2026

MOISTURE RISK MAPPING: MACHINE LEARNING APPROACHES USING UAV MULTISPECTRAL IMAGERY FOR CULTURAL HERITAGE MONITORING

Ivan Ivanov, Silviya Filipova, Stefan Vlaykov · SWS 2026 Conference Preprints

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Photogrammetry and Remote Sensing2026

WATER SURFACE MAPPING USING SENTINEL-1 AND SENTINEL-2 IMAGERY: A COMPARATIVE STUDY OF INDEX AND MACHINE LEARNING APPROACHES

Adrian Yordanov · SWS 2026 Conference Preprints

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Green Design and Sustainable Architecture2025

CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE

Odey Alsbhoul, Ali Shehadeh, Khaled F. Al-Shboul, Ghassan Almasabha, Rabia Emhamed Al Mamlook · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Nano, Bio, Green, and Space Technologies for a Sustainable Future, Vol25, Issue 6.1

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Hydrology and Water Resources2025

ELEPHANT HERDING OPTIMIZATION FOR ENHANCED FORECASTING OF INFLOW TIME SERIES USING STATISTICAL AND MACHINE LEARNING MODELS

Angela Neagoe, Eliza-Isabela Tică, Bogdan Popa · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Water Resources, Forest, Marine, and Ocean Ecosystems, Vol 25, Issue 3.2

DOIinflow forecasting Elephant Herding Optimization ARIMA GRU RF

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Informatics2025

HYBRID DETERMINISTIC AND MACHINE LEARNING APPROACH FOR SOLAR POWER FORECASTING WITH UNCERTAINTY ESTIMATION

Juris Seņņikovs, Stanislavs Gendelis, Andrejs Timuhins, Uldis Bethers · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Geoinformatics, Remote Sensing, and Artificial Intelligence (AI), Vol 25, Issue 2.1

DOIMachine learning solar power forecasting numerical weather prediction deterministic models uncertainty estimation.

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Cartography and GIS2025

IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN OPTIMIZING RURAL TOURISM MANAGEMENT

Theodor Muntean, Larisa-Elena Briscan, Tiberiu Iancu, Ramona Ciolac, Tabita Adamov · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM2025, Ecology, Environmental Economics, Education, and Legislation, Vol25, Issue 5.1.

DOIArtificial Intelligence Rural Tourism Machine Learning Neural Networks Tourism Management

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Hydrology and Water Resources2025

MODELING REFERENCE EVAPOTRANSPIRATION WITH MINIMAL INPUT DATA FOR CLIMATE CHANGE IMPACT STUDIES

Milan Cisty · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Water Resources, Forest, Marine, and Ocean Ecosystems, Vol 25, Issue 3.2

DOIreference evapotranspiration machine learning models optimization methods data-scarce regions climate change impact studies

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Recycling2025

PREDICTION THE SOLUBILITY AND SWELLING INDEX OF STARCH FILMS APPLYING MACHINE LEARNING METHODS

Elena-Emilia Oprescu, Maria Tănase, Bianca-Ana-Maria Burdusel, Cătălina Călin, Cristina Popa · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM2025, Energy and Clean Technologies, Vol25, Issue 4.1

DOImachine learning prediction biodegradable films starch films solubility swelling index

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Green Design and Sustainable Architecture2025

UNMANNED AERIAL VEHICLES PATH-PLANNING STRATEGIES: FROM CLASSICAL METHODS TO ARTIFICIAL INTELLIGENCE-BASED APPROACHES

Catalin Cucu, Daniel Mariuta, C Larco, Lucian Grigorie · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Nano, Bio, Green and Space: Technologies for Sustainable Future, Vol 25, Issue 6.2

DOIclassical graph-based algorithms sampling-based algorithms bio-inspired metaheuristics algorithms machine learning neural networks.

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Informatics2024

A MULTIDISCIPLINARY APPROACH TO TELEGRAM DATA ANALYSIS

Velizar Varbanov, Kalin Kopanov, Tatiana Atanasova · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Issue 2.1

DOIMachine Learning FNN LSTM SVM Cyber Security

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Hydrology and Water Resources2024

POSSIBILITIES FOR DAY-STEP FLOOD FORECASTING IN SMALLER CATCHMENTS USING MACHINE LEARNING METHODS

Tomáš Kozel, Ruzena Pavelkova · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Water Resources. Forest, Marine and Ocean Ecosystems, Vol 24, Issue 3.2

DOIDaily data floods snow machine learning methods small catchments

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Ecology and Environmental Protection2024

PREVENTING PIPE STICKING IN OIL AND GAS WELLS USING AN IMPROVED TORQUE AND DRAG MODEL, ALONG WITH ANALYTICAL AND MACHINE LEARNING METHODS

Aizada B. Sharaouva, Dinara Delikesheva · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Science and Technologies in Geology, Exploration And Mining, Vol 24, Issue 1.1

DOItorque and drag machine learning drilling pipe sticking regression model.

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Ecology and Environmental Protection2024

USING MACHINE LEARNING TECHNIQUES TO FORECAST CUTTINGS REMOVAL IN HOLE CLEANING

Dinara Delikesheva, Aizada B. Sharaouva · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Science and Technologies in Geology, Exploration And Mining, Vol 24, Issue 1.1

DOIhole cleaning cuttings removal regression analysis machine learning pipe sticking

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Informatics2023

ANALYSIS OF MACHINE LEARNING ALGORITHMS PERFORMANCES FOR ROAD SEGMENTATION ON VERY HIGH-RESOLUTION SATELLITE IMAGERY AS SUPPORT OF ROAD INFRASTRUCTURE ASSESSMENT

Ivan Brkić, Mario Miler, Marko Ševrović, Damir Medak · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Informatics, Geoinformatics and Remote Sensing, Vol 23, Issue 2.1.

DOImachine learning satellite imagery Random forests XGBoost U-net

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Air Pollution and Climate Change2023

THE POTENTIAL ROLE OF MODERN TECHNOLOGY IN PROMOTING NATURE-BASED SOLUTIONS ADDRESSING GLOBAL CLIMATE CHANGE

Denis Vasiliev, Lennart Bornmalm, Rodney Stevens, Richard W. Hazlett · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd International Multidisciplinary Scientific GeoConference Proceedings SGEM 2023, Energy and Clean Technologies, Vol 23, Issue 4.2

DOIbiodiversity artificial intelligence machine learning mobile technology sustainable development

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Advances in Biotechnology2022

CLOUD DATAFLOW FOR MACHINE LEARNING MODELING ON IOT DATA IN SMART LIVESTOCK FARMING

Kristina Dineva, Tatiana Atanasova, Todor Balabanov · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022

DOIInternet of Things (IoT)Machine Learning (ML)Smart Livestock Monitoring Azure Cloud DataFlow (ADF)

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Informatics2022

MODELLING BARLEY BIOMASS FROM PHENOCAM TIME SERIES WITH MULTI-OUTPUT GAUSSIAN PROCESSES

Dessislava Ganeva, Milen Chanev, Darina Valcheva, Lachezar Filchev, Georgi Jelev · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing

DOIbiomass machine learning multi-output Gaussian processes Phenocams

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Cartography and GIS2021

A MACHINE LEARNING APPROACH FOR URBAN AREA MAPPING

Ana-Ioana Breaban, Valeria-Ersilia Oniga, Florian Stătescu · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Informatics, Geoinformatics and Remote Sensing

DOIcomposite image random forest remote sensing urban indices Iasi Sentinel 2

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Space Technologies and Planetary Science2021

GEOMAGNETIC STUDIES AS PART OF THE MODELS REGARDING SPACE WEATHER AND CLIMATIC CHANGE

Asimopolos Laurenţiu, Natalia-Silvia Asimopolos, Adrian-Aristide Asimopolos · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021 Nano Bio Green and Space Technologies for Sustainable Future

DOIGeomagnetic Disturbances Space Weather Wavelet Analyses Auto-Regressive Integrated Moving Average Machine Learning

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Search publications

ESTIMATION OF BIOMASS USING GEDI LIDAR DATA, HARMONIZED LANDSAT SENTINEL-2 (HLS) IMAGERY, AND GRADIENT BOOSTING MACHINE LEARNING

MOISTURE RISK MAPPING: MACHINE LEARNING APPROACHES USING UAV MULTISPECTRAL IMAGERY FOR CULTURAL HERITAGE MONITORING

WATER SURFACE MAPPING USING SENTINEL-1 AND SENTINEL-2 IMAGERY: A COMPARATIVE STUDY OF INDEX AND MACHINE LEARNING APPROACHES

CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE

ELEPHANT HERDING OPTIMIZATION FOR ENHANCED FORECASTING OF INFLOW TIME SERIES USING STATISTICAL AND MACHINE LEARNING MODELS

HYBRID DETERMINISTIC AND MACHINE LEARNING APPROACH FOR SOLAR POWER FORECASTING WITH UNCERTAINTY ESTIMATION

IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN OPTIMIZING RURAL TOURISM MANAGEMENT

MODELING REFERENCE EVAPOTRANSPIRATION WITH MINIMAL INPUT DATA FOR CLIMATE CHANGE IMPACT STUDIES

PREDICTION THE SOLUBILITY AND SWELLING INDEX OF STARCH FILMS APPLYING MACHINE LEARNING METHODS

UNMANNED AERIAL VEHICLES PATH-PLANNING STRATEGIES: FROM CLASSICAL METHODS TO ARTIFICIAL INTELLIGENCE-BASED APPROACHES

A MULTIDISCIPLINARY APPROACH TO TELEGRAM DATA ANALYSIS

POSSIBILITIES FOR DAY-STEP FLOOD FORECASTING IN SMALLER CATCHMENTS USING MACHINE LEARNING METHODS

PREVENTING PIPE STICKING IN OIL AND GAS WELLS USING AN IMPROVED TORQUE AND DRAG MODEL, ALONG WITH ANALYTICAL AND MACHINE LEARNING METHODS

USING MACHINE LEARNING TECHNIQUES TO FORECAST CUTTINGS REMOVAL IN HOLE CLEANING

ANALYSIS OF MACHINE LEARNING ALGORITHMS PERFORMANCES FOR ROAD SEGMENTATION ON VERY HIGH-RESOLUTION SATELLITE IMAGERY AS SUPPORT OF ROAD INFRASTRUCTURE ASSESSMENT

THE POTENTIAL ROLE OF MODERN TECHNOLOGY IN PROMOTING NATURE-BASED SOLUTIONS ADDRESSING GLOBAL CLIMATE CHANGE

CLOUD DATAFLOW FOR MACHINE LEARNING MODELING ON IOT DATA IN SMART LIVESTOCK FARMING

MODELLING BARLEY BIOMASS FROM PHENOCAM TIME SERIES WITH MULTI-OUTPUT GAUSSIAN PROCESSES

A MACHINE LEARNING APPROACH FOR URBAN AREA MAPPING

GEOMAGNETIC STUDIES AS PART OF THE MODELS REGARDING SPACE WEATHER AND CLIMATIC CHANGE

SGEM WORLD SCIENCE Conferences

International Scientific GeoConference SGEM

Green Sciences and Sustainability