@article{MTMT:32632234,
	title = {Actuator control using TCP IP communication under LabVIEW USB6001 environment},
	url = {https://m2.mtmt.hu/api/publication/32632234},
	author = {Guo, Zenan and Buchman, Attila and Szemes, Péter Tamás},
	doi = {10.2478/cjece-2021-0008},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {14},
	unique-id = {32632234},
	issn = {1844-9689},
	year = {2021},
	eissn = {2343-8908},
	pages = {11-14},
	orcid-numbers = {Guo, Zenan/0000-0002-9530-9646; Szemes, Péter Tamás/0000-0003-0911-1260}
}

@article{MTMT:32555833,
	title = {A Survey on Automatic Design Methods for Swarm Robotics Systems},
	url = {https://m2.mtmt.hu/api/publication/32555833},
	author = {Iskandar, Alaa and Kovács, Béla},
	doi = {10.2478/cj ece-2021-0006},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {14},
	unique-id = {32555833},
	issn = {1844-9689},
	year = {2021},
	eissn = {2343-8908},
	pages = {1-5},
	orcid-numbers = {Kovács, Béla/0000-0002-0391-9878}
}

@article{MTMT:32494519,
	title = {Hardware accelerated image processing on FPGA based PYNQ-Z2 board},
	url = {https://m2.mtmt.hu/api/publication/32494519},
	author = {Mándi, Ákos and Máté, Jeney and Rózsa, Dominik and Oniga, István},
	doi = {10.2478/cjece-2021-0004},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {14},
	unique-id = {32494519},
	issn = {1844-9689},
	year = {2021},
	eissn = {2343-8908},
	pages = {20-23},
	orcid-numbers = {Oniga, István/0000-0003-2353-6759}
}

@article{MTMT:31636321,
	title = {A Review of Processing Methods and Classification Algorithm for EEG Signal},
	url = {https://m2.mtmt.hu/api/publication/31636321},
	author = {Xie, Yu and Oniga, István},
	doi = {10.2478/cjece-2020-0004},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {13},
	unique-id = {31636321},
	issn = {1844-9689},
	year = {2020},
	eissn = {2343-8908},
	pages = {23-29},
	orcid-numbers = {Oniga, István/0000-0003-2353-6759}
}

@article{MTMT:31787931,
	title = {A Survey about Intelligent Solutions for Autonomous Vehicles based on FPGA},
	url = {https://m2.mtmt.hu/api/publication/31787931},
	author = {Kasem, Ashraf and Reda, Ahmad and Vásárhelyi, József and Bouzid, Ahmed},
	doi = {10.2478/cjece-2020-0007},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {13},
	unique-id = {31787931},
	issn = {1844-9689},
	year = {2020},
	eissn = {2343-8908},
	pages = {7-11},
	orcid-numbers = {Vásárhelyi, József/0000-0002-7328-6877; Bouzid, Ahmed/0000-0003-2040-2501}
}

@article{MTMT:31678947,
	title = {Pragmatic Implementation of the Front-End of an N-bit/V ADC based on FPGA and FPAA},
	url = {https://m2.mtmt.hu/api/publication/31678947},
	author = {Zayer, Salam and Al-bayatia, Marwah and Györök, György and Bouzid, Ahmed},
	doi = {10.2478/cjece-2020-0008},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {13},
	unique-id = {31678947},
	issn = {1844-9689},
	year = {2020},
	eissn = {2343-8908},
	pages = {12-15},
	orcid-numbers = {Györök, György/0000-0003-3668-7855; Bouzid, Ahmed/0000-0003-2040-2501}
}

@article{MTMT:30878564,
	title = {EEG data processing with neural network},
	url = {https://m2.mtmt.hu/api/publication/30878564},
	author = {Majoros, Tamás and Ujvári, Balázs and Oniga, István},
	doi = {10.2478/cjece-2019-0014},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {12},
	unique-id = {30878564},
	issn = {1844-9689},
	year = {2019},
	eissn = {2343-8908},
	pages = {33-36},
	orcid-numbers = {Oniga, István/0000-0003-2353-6759}
}

@article{MTMT:30878559,
	title = {SoC as IoT sensor network hub},
	url = {https://m2.mtmt.hu/api/publication/30878559},
	author = {Alexan, Alexandru and Alexan, Anca and Oniga, István and Tisan, Alin},
	doi = {10.2478/cjece-2019-0008},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {12},
	unique-id = {30878559},
	issn = {1844-9689},
	year = {2019},
	eissn = {2343-8908},
	pages = {42-45},
	orcid-numbers = {Oniga, István/0000-0003-2353-6759}
}

@article{MTMT:30417898,
	title = {Processing EEG signals acquired from a consumer grade BCI device},
	url = {https://m2.mtmt.hu/api/publication/30417898},
	author = {Monori, Fanny and Oniga, István},
	doi = {10.2478/cjece-2018-0015},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {11},
	unique-id = {30417898},
	issn = {1844-9689},
	abstract = {BCI (Brain-Computer Interface) is a technology
		which goal is to create and manage a connection between the
		human brain and a computer with the help of EEG signals. In
		the last decade consumer-grade BCI devices became available
		thus giving opportunity to develop BCI applications outside of
		clinical settings. In this paper we use a device called NeuroSky
		MindWave Mobile. We investigate what type of information
		can be deducted from the data acquired from this device, and
		we evaluate whether it can help us in BCI applications. Our
		methods of processing the data involves feature extraction
		methods, and neural networks. Specifically, we make
		experiments with finding patterns in the data by binary and
		multiclass classification. With these methods we could detect
		sharp changes in the signal such as blinking patterns, but we
		could not extract more complex information successfully},
	year = {2018},
	eissn = {2343-8908},
	pages = {29-34},
	orcid-numbers = {Oniga, István/0000-0003-2353-6759}
}

@article{MTMT:30407567,
	title = {Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)- Jordan Region Using Sensed Datasets},
	url = {https://m2.mtmt.hu/api/publication/30407567},
	author = {ALDabbas, Ashraf and Gál, Zoltán and Buchman, Attila},
	doi = {10.2478/cjece-2018-0019},
	journal-iso = {CARPATH J ELECTRONIC COMPUTER ENGINEERING},
	journal = {CARPATHIAN JOURNAL OF ELECTRONIC AND COMPUTER ENGINEERING},
	volume = {11},
	unique-id = {30407567},
	issn = {1844-9689},
	abstract = {Jordan which is located in the heart of the world contains hundreds of historical and archaeological locations that have a supreme potential in enticing visitors. The impact of clime is important on many aspects of life such as the development of tourism and human health, tourists always wanted to choose the most convenient time and place that have appropriate weather circumstances. The goal of this study is to specify the preferable months (time) for tourism in Jordan regions. Neural network has been utilized to analyze several parameters of meteorologist (raining, temperature, speed of wind, moisture, sun radiation) by analyzing and specify tourism climatic index (TCI) and equiponderate it with THI index. The outcomes of this study shows that the finest time of the year to entice tourists is " April" which is categorized as to be "extraordinary" for visitors. TCI outcomes indicates that conditions are not convenient for tourism from July to August because of high temperature.},
	keywords = {Neural network; TCI index; THI index; analysis of historical sensed data set},
	year = {2018},
	eissn = {2343-8908},
	pages = {50-55},
	orcid-numbers = {Gál, Zoltán/0000-0003-1771-6497}
}