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Renewable Energy Sources and Clean Technologies2025

DEVELOPMENT OF ALGORITHMS FOR CONTINUOUS MONITORING OF DRILLING FLUID VISCOSITY IN DYNAMIC CONDITION

Samal Muratova, Volodymyr Khomenko, Олександр Пащенко, Zaira Matayeva, Zhanna Kenzhegalieva · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Energy and Clean Technologies

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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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Informatics2025

THE PILOT STUDY OF B-MODE IMAGE ANALYSIS OF KIDNEY DISEASES

Jiří Blahuta, Lukáš Pavlík, Tomáš Soukup, Jiří Kozel · 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Geoinformatics, Remote Sensing, and Artificial Intelligence (AI), Vol 25, Issue 2.1

DOIdiagnostic ultrasound B-MODE images Kidney Disease neural networks image processing

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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

MODEL OF ASSOCIATIVE MEMORY IN A BIG DATA PROCESSING ENVIRONMENT

Igor Kalinin, V. A. Sevostyanov · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Issue 2.1

DOIintrusion detection system neural networks artifi

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Air Pollution and Climate Change2024

NEURAL NETWORK MODELING OF THERMAL ENGINES POWERED BY ALTERNATIVE FUELS FOR THE PURPOSE OF REDUCING ATMOSPHERIC POLLUTION

Constantin Georgescu, Valentin Amorțilă, Cristian Munteniță · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Energy and Clean Technologies, Vol 24, Issue 4.1

DOImethanol ethanol atmospheric pollution neural networks

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Air Pollution and Climate Change2024

THE PREDICTION AND OPTIMIZATION OF ALTERNATIVE FUEL CONSUMPTION IN VEHICLES USING ARTIFICIAL NEURAL NETWORKS WITH THE AIM OF REDUCING ATMOSPHERIC POLLUTION

Valentin Amorțilă, Elena Mereuţă, Silvia Vereşiu, Mădălina Rus, Balasoi George · 24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Energy and Clean Technologies, Vol 24, Issue 4.1

DOIneural network air pollution optimization fuel.

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Informatics2023

COMPARISON OF THE PERFORMANCE OF DIFFERENT NEURAL NETWORK ARCHITECTURES AND PRE-TRAINED NEURAL NETWORKS FOR THE CLASSIFICATION OF FOREST FLORA AND FAUNA

Witold Prusak, Aleksander Skrzypiec, Tymoteusz Turlej · 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.

DOINature Segment Anything Model Neural Network Classification Data Science

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Ecology and Environmental Protection2023

CORE-SCALE ROCK TYPING USING CONVOLUTIONAL NEURAL NETWORKS FOR RESERVOIR CHARACTERIZATION IN THE PETROLEUM INDUSTRY

Muhammad Sarmad, Johan Phan, Leonardo C. Ruspini, Gabriel Kiss, Frank Lindseth · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd International Multidisciplinary Scientific GeoConference Proceedings SGEM2023, Science and Technologies in Geology, Exploration And Mining, Vol 23, Issue 1.1

DOIrock typing digital rock analysis deep learning segmentation

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Hydrology and Water Resources2023

NEURAL NETWORK-BASED MODELS FOR STRUMA RIVER FLOW FORECASTING

Snezhanka Balabanova, Vesela Stoyanova, Valeriya Yordanova · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Water Resources. Forest, Marine and Ocean Ecosystems, Vol 23, Issue 3.1

DOIArtificial Neural networks hydrology river flow forecasting

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Advances in Biotechnology2023

RECOGNISING DAIRY COWS' BEHAVIOUR WITH LSTM MODEL TO IMPROVE FARM MANAGEMENT PRACTICES

Kristina Dineva, Tatiana Atanasova · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Nano, Bio, Green and Space: Technologies for a Sustainable Future, Vol. 23, Issue 6.2

DOIfarm management IoT (Internet of things)cow’s behavior recognition LSTM (long short-term memory) neural networks accelerometer and gyroscope data

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Forest Ecosystems2022

ARTIFICIALLY AIDED FUNGI RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS

Kamil Gajewski, Witold Prusak, Jaroslaw Fafara, Aleksander Skrzypiec, Tymoteusz Turlej · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Water Resources. Forest, Marine and Ocean Ecosystems, VOL 22, ISSUE 3.2

DOImushrooms image recognition conventional neural networks

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Informatics2022

USE OF ARTIFICIAL INTELLIGENCE ELEMENTS IN PREDICTIVE PROCESS MANAGEMENT

Marta Blahová · SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Informatics, Geoinformatics and Remote Sensing

DOIPredictive control discrete dynamic models artificial intelligence neural networks evolutionary algorithms

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Green Buildings Technologies and Materials2021

ARTIFICIAL INTELLIGENCE ENABLING DIGITAL TWINS IN EXISTING BUILDINGS

Luca Rampini, Fulvio Re Cecconi · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Nano, Bio, Green and Space: Technologies for Sustainable Future

DOIDigital Twin Artificial Intelligence Neural networks School building

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Ecology and Environmental Protection2021

ASSESSMENT OF INDICATORS OF THE CONDITION OF DRINKING WATER SUPPLY IN THE SIBERIAN FEDERAL DISTRICT AND THEIR CONTRIBUTION TO THE ASSOCIATED MORBIDITY AND EXPECTED LIFE OF THE POPULATION

Н.В. Зайцева, Svetlana Vekovsinina, Maxim V. Glukhikh, Marat R. Kamaltdinov · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Ecology, Economics, Education and Legislation

DOIdrinking water water supply system life expectancy artificial neural networks

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Photogrammetry and Remote Sensing2021

DETECTION OF PEOPLE AND VEHICLES USING VERY HIGH-RESOLUTION SATELLITE IMAGES

Peter Golej VSB, Lucie Orlíková, Jiří Horák, Petra Bořilová Linhartová, Juraj Struhár · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 21st SGEM International Multidisciplinary Scientific GeoConference Proceedings 2021, Informatics, Geoinformatics and Remote Sensing

DOIhigh resolution satellite images segmentation detection of people detection of vehicles neural networks

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Informatics2020

APPLICATION OF NEURAL FUZZY CONTROL TO ADAPT THE PHYSICAL LAYER OF A FLYING SENSOR NETWORK

Gleb Vasilyev, Oleg Kuzichkin, Dmitry Surzhik · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing

DOIunmanned aerial vehicles flying sensor networks OSI network model physical layer adaptation artificial neural networks+4 keywords

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Informatics2020

EXPERIMENTAL AND PREDICTION THE CORROSION RESISTANCE OF SOME SINTERED IRON ALLOYS SUBJECTED TO A THERMOCHEMICAL TREATMENT BY USING ARTIFICIAL NEURAL NETWORKS

Mihaela MARIN, Florin Bogdan Marin, Carmela Gurău, Gheorghe Gurău · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing

DOIpowder metallurgy corrosion resistance prediction computational method

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Ecology and Environmental Protection2020

LONG TERM PREDICTION OF WIND SPEED WITH ARTIFICIAL NEURAL NETWORKS

Gheorghe Stăvărache, Valerian Novac, Sorin Ciortan, Eugen Rusu · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Energy and Clean Technologies

DOIwind speed artificial neural networks long-term prediction

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Ecology and Environmental Protection2020

METHOD OF FORECASTING THE AGRO-ECOLOGICAL STATE OF SOILS ON THE EXAMPLE OF THE SOUTH OF UKRAINE

D.S. Breus, Olga Yevtushenko, С.В. Скок, Olena Rutta · SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Ecology, Economics, Education and Legislation

DOIartificial neural networks Statistics Neural Networks (SNN)soil fertility forecasting agrochemical parameters.

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