@article{MTMT:34833556,
	title = {Adaptive isomap feature extractive gradient deep belief network classifier for diabetic retinopathy identification},
	url = {https://m2.mtmt.hu/api/publication/34833556},
	author = {Singh, Alka and Kumar, Rakesh and Gandomi , Amirhossein},
	doi = {10.1007/s11042-024-19216-6},
	journal-iso = {MULTIMED TOOLS APPL},
	journal = {MULTIMEDIA TOOLS AND APPLICATIONS: AN INTERNATIONAL JOURNAL},
	unique-id = {34833556},
	issn = {1380-7501},
	year = {2024},
	eissn = {1573-7721},
	orcid-numbers = {Singh, Alka/0009-0004-4891-436X}
}

@article{MTMT:34833548,
	title = {Reference Tracking MPC for Cyber-Physical Systems Under Denial-of-Service Attacks: An Omnidirectional Robot Application},
	url = {https://m2.mtmt.hu/api/publication/34833548},
	author = {Zhang, Daotong and Shi, Peng and Agarwal, Ramesh K. and Kovács, Levente},
	doi = {10.1109/JSYST.2024.3384372},
	journal-iso = {IEEE SYST J},
	journal = {IEEE SYSTEMS JOURNAL},
	unique-id = {34833548},
	issn = {1932-8184},
	keywords = {cyber-physical systems (CPSs); model predictive control (MPC); Disturbance observer; denial-of-service (DoS) attacks},
	year = {2024},
	eissn = {1937-9234},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:34833013,
	title = {Development of novel low-cost readout electronics for large field-of-view gamma camera detectors},
	url = {https://m2.mtmt.hu/api/publication/34833013},
	author = {Radnia, Aram and Alikhani, Amirhossein and Teimourian, Behnoosh and Nejad, Mahyar Yousef and Farahani, Mohammad Hossein and Pashaei, Fakhereh and Rahmim, Arman and Zaidi, Habib and Ay, Mohammad Reza},
	doi = {10.1016/j.ejmp.2024.103357},
	journal-iso = {PHYS MEDICA},
	journal = {PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS},
	volume = {121},
	unique-id = {34833013},
	issn = {1120-1797},
	year = {2024},
	eissn = {1724-191X},
	pages = {103357},
	orcid-numbers = {Teimourian, Behnoosh/0000-0001-8234-7435; Rahmim, Arman/0000-0002-9980-2403}
}

@article{MTMT:34833010,
	title = {Assessment of Surgeons’ Stress Levels with Digital Sensors during Robot-Assisted Surgery: An Experimental Study},
	url = {https://m2.mtmt.hu/api/publication/34833010},
	author = {Takács, Kristóf and Lukács, Eszter and Levendovics, Renáta and Pekli, Damján and Szijártó, Attila and Haidegger, Tamás},
	doi = {10.3390/s24092915},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {24},
	unique-id = {34833010},
	abstract = {Robot-Assisted Minimally Invasive Surgery (RAMIS) marks a paradigm shift in surgical procedures, enhancing precision and ergonomics. Concurrently it introduces complex stress dynamics and ergonomic challenges regarding the human–robot interface and interaction. This study explores the stress-related aspects of RAMIS, using the da Vinci XI Surgical System and the Sea Spikes model as a standard skill training phantom to establish a link between technological advancement and human factors in RAMIS environments. By employing different physiological and kinematic sensors for heart rate variability, hand movement tracking, and posture analysis, this research aims to develop a framework for quantifying the stress and ergonomic loads applied to surgeons. Preliminary findings reveal significant correlations between stress levels and several of the skill-related metrics measured by external sensors or the SURG-TLX questionnaire. Furthermore, early analysis of this preliminary dataset suggests the potential benefits of applying machine learning for surgeon skill classification and stress analysis. This paper presents the initial findings, identified correlations, and the lessons learned from the clinical setup, aiming to lay down the cornerstones for wider studies in the fields of clinical situation awareness and attention computing.},
	year = {2024},
	eissn = {1424-8220},
	orcid-numbers = {Takács, Kristóf/0000-0001-5417-6026; Lukács, Eszter/0009-0001-7585-281X; Levendovics, Renáta/0000-0002-3030-254X; Haidegger, Tamás/0000-0003-1402-1139}
}

@article{MTMT:34831712,
	title = {Deep learning for enhanced brain Tumor Detection and classification},
	url = {https://m2.mtmt.hu/api/publication/34831712},
	author = {Agarwal, Monika and Rani, Geeta and Kumar, Ambeshwar and K, Pradeep Kumar and Manikandan, R. and Gandomi , Amirhossein},
	doi = {10.1016/j.rineng.2024.102117},
	journal-iso = {RESULT ENGIN},
	journal = {RESULTS IN ENGINEERING},
	volume = {22},
	unique-id = {34831712},
	year = {2024},
	eissn = {2590-1230}
}

@article{MTMT:34831648,
	title = {An enhanced discrete particle swarm optimization for structural k-Anonymity in social networks},
	url = {https://m2.mtmt.hu/api/publication/34831648},
	author = {Yazdanjue, Navid and Yazdanjouei, Hossein and Karimianghadim, Ramin and Gandomi , Amirhossein},
	doi = {10.1016/j.ins.2024.120631},
	journal-iso = {INFORM SCIENCES},
	journal = {INFORMATION SCIENCES},
	volume = {670},
	unique-id = {34831648},
	issn = {0020-0255},
	year = {2024},
	eissn = {1872-6291},
	pages = {120631},
	orcid-numbers = {Yazdanjue, Navid/0000-0001-9670-8422}
}

@article{MTMT:34828150,
	title = {Observer-Based Stabilization for Discrete Interval Type-2 Fuzzy Models With Semi-Markov Parameters},
	url = {https://m2.mtmt.hu/api/publication/34828150},
	author = {Qi, Wenhai and Li, Runkun and Shi, Peng and Zong, Guangdeng and Wu, Zheng-Guang},
	doi = {10.1109/TCSII.2023.3341043},
	journal-iso = {IEEE T CIRCUITS-II},
	journal = {IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS},
	volume = {71},
	unique-id = {34828150},
	issn = {1549-7747},
	keywords = {Manganese; UNCERTAINTY; Stability criteria; numerical stability; Circuit stability; Observers; Integrated circuit modeling; Mean-square stability; semi-Markov kernel; Semi-Markov parameters; internal type-2 T-S fuzzy model},
	year = {2024},
	eissn = {1558-3791},
	pages = {2249-2253},
	orcid-numbers = {Qi, Wenhai/0000-0002-9065-0802}
}

@article{MTMT:34828137,
	title = {Multi-Objective Estimation of Optimal Prediction Intervals for Wind Power Forecasting},
	url = {https://m2.mtmt.hu/api/publication/34828137},
	author = {Chen, Yinsong and Yu, Samson S. and Lim, Chee Peng and Shi, Peng},
	doi = {10.1109/TSTE.2023.3321081},
	journal-iso = {IEEE T SUSTAIN ENERGY},
	journal = {IEEE TRANSACTIONS ON SUSTAINABLE ENERGY},
	volume = {15},
	unique-id = {34828137},
	issn = {1949-3029},
	keywords = {Optimization; Neural network; Forecasting; Reliability; UNCERTAINTY; training; Wind power generation; Multi-objective optimization; estimation; wind power forecasting; gradient descent; Prediction interval; Scoring rule},
	year = {2024},
	eissn = {1949-3037},
	pages = {974-985}
}

@article{MTMT:34814687,
	title = {Stabilization of nonlinear stochastic systems with input and output delays via event-triggered predictive control},
	url = {https://m2.mtmt.hu/api/publication/34814687},
	author = {Deng, Ding-Lin and He, Ping and Shi, Peng and Kovács, Levente},
	doi = {10.1002/rnc.7309},
	journal-iso = {INT J ROBUST NONLIN},
	journal = {INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL},
	unique-id = {34814687},
	issn = {1049-8923},
	keywords = {STABILIZATION; Nonlinear stochastic systems; event-triggered predictive control; input and output delays},
	year = {2024},
	eissn = {1099-1239},
	orcid-numbers = {He, Ping/0000-0001-7340-9606; Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:34814035,
	title = {Optimal Tracking of Networked Control Systems Over the Fading Channel With Packet Loss},
	url = {https://m2.mtmt.hu/api/publication/34814035},
	author = {Jiang, Xiaowei and Yan, Huaicheng and Li, Bo and Zheng, Shiqi and Huang, Tingwen and Shi, Peng},
	doi = {10.1109/TAC.2023.3343593},
	journal-iso = {IEEE T AUTOMAT CONTR},
	journal = {IEEE TRANSACTIONS ON AUTOMATIC CONTROL},
	volume = {69},
	unique-id = {34814035},
	issn = {0018-9286},
	keywords = {Packet loss; optimal tracking; networked control system (NCS); Average channel model},
	year = {2024},
	eissn = {1558-2523},
	pages = {2652-2659},
	orcid-numbers = {Huang, Tingwen/0000-0001-9610-846X}
}