@inproceedings{MTMT:34533661,
	title = {Human Activity Recognition by BiLSTM Recurrent Neural Networks and Support Vector Machine},
	url = {https://m2.mtmt.hu/api/publication/34533661},
	author = {Ridha, A.A. and Almaameri, Ihab and Blázovics, László and Abbas, H.M.},
	booktitle = {6th Iraqi International Conference on Engineering Technology and its Applications, IICETA 2023},
	doi = {10.1109/IICETA57613.2023.10351372},
	unique-id = {34533661},
	abstract = {In the last years of this decade, the recognition of human activity has become important to a wide range of researchers in pattern recognition and human-computer interaction as a result of its wide range of real-world applications, such as gesture recognition, biometric user identification, surveillance by authorities, behavior analysis and health monitoring of the elderly. Human Activity Recognition (HAR) has become a significant topic in mobile and ubiquitous computing as a result of the widespread use of wearable sensor devices and the Internet of Things (loT). Deep Learning (DL) is one of the most commonly used problem-solving techniques in the HAR system. Nevertheless, there are major challenges in applying HAR to problems in recognizing various human activities. In this paper, presented and showed the activities of implementing a new combination of DL methods for multi-class user activity identification to HAR. Using DL methods can be extracting discriminative features automatically from raw sensor data. Specifically, in this work, we proposed a hybrid architecture that features a combination of Bidirectional Long Short-Term Memory (BILSTM) networks and support vector Machines (SVM) for the HAR task. The UCI HAR dataset is used to test the model, it consists of accelerometer and gyroscope data obtained from smartphones. The dataset is split into 30 % for testing and 70% for training. The results for the (BILSTM-SVM) model, showed that the highest accuracy for all users was 98.74 %, higher than all previous models using the same dataset. © 2023 IEEE.},
	keywords = {Brain; Learning systems; PATTERN RECOGNITION; machine learning; Human computer interaction; Ubiquitous computing; Statistical tests; Machine-learning; Support vector machines; Human Activities; Network security; Learning methods; Deep learning; Deep learning; wearable sensors; support-vector machine; human activity recognition; Long Short-Term Memory; Human Activity Recognition (HAR); Bidirectional long short-term memory; Support vectors machine; Bidirectional long short-term memory (BILSTM); Support-Vector Machines (SVM); Memory supports},
	year = {2023},
	pages = {459-465}
}

@inproceedings{MTMT:34451727,
	title = {An Overview of Drones Communication, Application and Challenge in 5G Network},
	url = {https://m2.mtmt.hu/api/publication/34451727},
	author = {Almaameri, Ihab and Blázovics, László},
	booktitle = {6th Iraqi International Conference on Engineering Technology and its Applications, IICETA 2023},
	doi = {10.1109/IICETA57613.2023.10351413},
	unique-id = {34451727},
	year = {2023},
	pages = {67-73}
}

@{MTMT:33123947,
	title = {RobotCore—A General Multi-robot Simulation Framework},
	url = {https://m2.mtmt.hu/api/publication/33123947},
	author = {Hideg, Attila and Blázovics, László and Lukovszki, Tamás and Forstner, Bertalan},
	booktitle = {Accentuated Innovations in Cognitive Info-Communication},
	doi = {10.1007/978-3-031-10956-0_12},
	unique-id = {33123947},
	abstract = {In the last decade, research targeting multi-robot systems has increased due to the advantageous properties of those systems. They might be cost-efficient, scalable, and fault-tolerant; however, the development of these systems is more complicated. These features increase the desire to create algorithms that can be hard to test and validate. Therefore, these algorithms have to be formalized; then, they can be implemented on simulators, which brings the demand for a simulation framework that can perform, execute, and validate the algorithms for multi-robot systems, even at large scales, which is still flexible enough to allow the integration of new problem sets and algorithms. With this in mind, the authors present a general robot simulation framework, called the RobotCore framework.},
	year = {2023},
	pages = {239-258},
	orcid-numbers = {Lukovszki, Tamás/0000-0001-8878-3246}
}

@article{MTMT:31840392,
	title = {Uniform Dispersal of Cheap Flying Robots in the Presence of Obstacles},
	url = {https://m2.mtmt.hu/api/publication/31840392},
	author = {Hideg, Attila and Blázovics, László and Lukovszki, Tamás and Forstner, Bertalan},
	doi = {10.12700/APH.18.1.2021.1.2},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {18},
	unique-id = {31840392},
	issn = {1785-8860},
	year = {2021},
	eissn = {1785-8860},
	pages = {13-28},
	orcid-numbers = {Lukovszki, Tamás/0000-0001-8878-3246}
}

@inproceedings{MTMT:31640712,
	title = {Uniform Dispersal of Cheap Flying Robots},
	url = {https://m2.mtmt.hu/api/publication/31640712},
	author = {Hideg, Attila and Blázovics, László and Forstner, Bertalan},
	booktitle = {10th IEEE International Conference on Cognitive Infocommunications, (CogInfoCom 2019)},
	doi = {10.1109/CogInfoCom47531.2019.9089977},
	unique-id = {31640712},
	year = {2019},
	pages = {227-232}
}

@inproceedings{MTMT:30905039,
	title = {Multi-Robot Simulation Framework},
	url = {https://m2.mtmt.hu/api/publication/30905039},
	author = {Hideg, Attila and Blázovics, László and Forstner, Bertalan},
	booktitle = {9th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)},
	doi = {10.1109/CogInfoCom.2018.8639911},
	unique-id = {30905039},
	abstract = {In this paper a general robot simulation framework is created, called RobotCore. The simulation is mostly used to provide experimental results to theoretical analysis for multi-robot systems. However, in certain cases, theoretical analysis can be difficult and it might be more adequate to check the effectiveness of different methods in those experiments before analyzing them. The framework provides a three-dimensional visualizer, to depict the movements and actions of the robots. Moreover, this visualizer can be used to upgrade or debug the algorithms while they are running. Additionally, the framework includes a component for extensive testing on vast number of test scenarios.},
	year = {2018},
	pages = {159-163}
}

@inproceedings{MTMT:3154097,
	title = {Data Collection for Widely Distributed Mass of Sensors},
	url = {https://m2.mtmt.hu/api/publication/3154097},
	author = {Hideg, Attila and Blázovics, László and Csorba, Kristóf and Gótzy, Márton},
	booktitle = {7th IEEE Conference on Cognitive Infocommunications - COGINFOCOM 2016},
	doi = {10.1109/CogInfoCom.2016.7804548},
	unique-id = {3154097},
	year = {2016},
	pages = {193-198}
}

@inproceedings{MTMT:3154086,
	title = {Uniform Dispersal of Oblivious Mobile Robots},
	url = {https://m2.mtmt.hu/api/publication/3154086},
	author = {Hideg, Attila and Blázovics, László and Forstner, Bertalan},
	booktitle = {7th IEEE Conference on Cognitive Infocommunications - COGINFOCOM 2016},
	doi = {10.1109/CogInfoCom.2016.7804569},
	unique-id = {3154086},
	year = {2016},
	pages = {323-326}
}

@inproceedings{MTMT:3127143,
	title = {Sensor fusion with enhanced Kalman Filter for altitude control of quadrotors},
	url = {https://m2.mtmt.hu/api/publication/3127143},
	author = {Hetényi, D and Gótzy, M and Blázovics, László},
	booktitle = {2016 IEEE 11TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI)},
	doi = {10.1109/SACI.2016.7507412},
	unique-id = {3127143},
	year = {2016},
	pages = {413-418}
}

@inproceedings{MTMT:3121337,
	title = {Aerial Surveillance System with Cognitive Swarm Drones},
	url = {https://m2.mtmt.hu/api/publication/3121337},
	author = {Gotzy, M and Hetenyi, D and Blázovics, László},
	booktitle = {2016 Cybernetics & Informatics (K&I)},
	doi = {10.1109/CYBERI.2016.7438593},
	unique-id = {3121337},
	abstract = {Due to the increasing computational capacity of embedded systems, the design of aerial surveillance drones became affordable. However individual robots are less efficient than those who are forming a collective. These systems mostly use decentralised algorithms and communication networks. We present a distributed, communication aided solution for a problem in which a group of autonomous mobile robots patrol over a given area and intercept the detected targets. The robots are oblivious, they use local sensing, and they can share information within their neighbourhood. We adopt the Multi-Orbit-Surrounding (MOS) based Aerial Surveillance concept into a square grid graph based environment, and we will prove that the concept can detect and surround an intruder in finite time.},
	keywords = {Infocommunications; Cognitive infocommunication; SWARM; intruder problem; Cooperative robotics; area surveillance},
	year = {2016},
	pages = {1-6}
}