| Design of Scalable IoT Architecture Based on AWS for Smart Livestock K Dineva, T Atanasova MDPI 11 (9), 2697, 2021 | 39 | 2021 |
| OSEMN process for working over data acquired by IoT devices mounted in beehives K Dineva, T Atanasova Curr. Trends Nat. Sci 7 (13), 47-53, 2018 | 25 | 2018 |
| SYSTEMATIC LOOK AT MACHINE LEARNING ALGORITHMS - ADVANTAGES, DISADVANTAGES AND PRACTICAL APPLICATIONS K Dineva, T Atanasova 20th International Multidisciplinary Scientific GeoConference SGEM 2020 20 …, 2020 | 24 | 2020 |
| Cloud data-driven intelligent monitoring system for interactive smart farming K Dineva, T Atanasova Sensors 22 (17), 6566, 2022 | 21 | 2022 |
| SECURITY IN IOT SYSTEMS K Dineva, T Atanasova International Multidisciplinary Scientific GeoConference: SGEM 19 (2.1), 569-577, 2019 | 19 | 2019 |
| Towards CPS/IoT system for livestock smart farm monitoring K Dineva, D Parvanov, T Atanasova, G Mateeva, P Petrov, G Kostadinov 2021 International Conference Automatics and Informatics (ICAI), 252-255, 2021 | 14 | 2021 |
| COMPUTER SYSTEM USING INTERNET OF THINGS FOR MONITORING OF BEE HIVES K Dineva, T Atanasova International Multidisciplinary Scientific GeoConference: SGEM: Surveying …, 2017 | 13 | 2017 |
| Model of modular IoT-based bee-keeping system K Dineva, T Atanasova European Simulation and Modelling Conference ESM, 404-406, 2017 | 13 | 2017 |
| Regression analysis on data received from modular IoT system K Dineva, T Atanasova Proceedings of the european simulation and modelling conference ESM, 2019 | 11 | 2019 |
| Methodology for Data Processing in Modular IoT System K Dineva, T Atanasova International Conference on Distributed Computer and Communication Networks …, 2019 | 10 | 2019 |
| ICT-based beekeeping using IoT and machine learning K Dineva, T Atanasova DCCN International Conference on Distributed Computer and Communication …, 2018 | 9 | 2018 |
| Architectural ML framework for IoT services delivery based on microservices K Dineva, T Atanasova Distributed Computer and Communication Networks: 23rd International …, 2020 | 8 | 2020 |
| Applying machine learning against beehives dataset K Dineva, T Atanasova International Multidisciplinary Scientific GeoConference: SGEM: Surveying …, 2018 | 8 | 2018 |
| Expandable IoT Architecture for Livestock in Agriculture 5.0 K Dineva, T Atanasova 21th International Multidisciplinary Scientific GeoConference SGEM 2021, 147-154, 2021 | 6 | 2021 |
| MACHINE LEARNING SOLUTION FOR IOT BIG DATA K Dineva, T Atanasova 20th International Multidisciplinary Scientific GeoConference SGEM 2020 20 …, 2020 | 6 | 2020 |
| Self Rising Tri Layers MLP for Time Series Forecasting TD Balabanov, II Blagoev, KI Dineva International Conference on Distributed Computer and Communication Networks …, 2018 | 4 | 2018 |
| CLOUD SERVICES PROVIDERS EVALUATION MODEL FOR DESIGNING HIGH PERFORMANCE, REAL-TIME IOT BIG DATA SOLUTIONS K Dineva, T Atanasova | 3 | 2022 |
| Health Status Classification for Cows Using Machine Learning and Data Management on AWS Cloud K Dineva, T Atanasova Animals 13 (20), 2023 | 2 | 2023 |
| Methods for data analysis and processing in monitoring systems of bee hives K Dineva, T Atanasova Yearbook Telecommunications 5, 1-10, 2018 | 2 | 2018 |
| INTEGRATION OF HETEROGENEOUS DATA FROM DISTRIBUTED IoT DEVICES K Dineva | 2* | |
