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IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings
Anikó, Szakál [Szakál, Anikó (műszaki informatika), szerk.] Óbudai Egyetem
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: IEEE Hungary Section, Budapest, Magyarország
2024
Konferencia:
11th IEEE International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2024 2024-04-04 [Hanoi, Vietnam]
Azonosítók
MTMT: 34768707
ISBN:
9798350350142
Szakterületek:
Műszaki és technológiai tudományok
Fejezetek
Saeed Beheshtian et al. Comparative Evaluation of Machine Learning and Bayesian Deep Learning Methods for Estimating Ultimate Recovery in Shale Well Reservoirs. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000017-000023
Saeed Beheshtian et al. Advanced Machine Learning Methods for Accurate Prediction of Loss Circulation in Drilling Well Log. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000031-000036
Milan Szilveszter et al. Comparison of commercial and open source ETL tools. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000037-000042
Enikő Nagy et al. Comparison of data visualisation platforms through European traffic data. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 43-47
Balogh Zoltán et al. Automated Biofeedback Processing: A Robust API Development Approach. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000049-000053
Bálint Nagy et al. Bifurcations and application of the Vallis – model. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 55-58
Erzsébet Nagy et al. Examining the effect of initial parameter value choice of a tumor model on gradient-based parameter fitting. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000061-000066
Lilla Kisbenedek et al. Anomaly detection of time series containing tumor volumes. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000067-000072
Alexandru-George BERCIU et al. Semi-automated Solution for Extracting Information from Images using Machine Learning methods. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000073-000076
Rajcsányi-Molnár Mónika et al. Competition as an Effective Motivational Tool in Online Education. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 83-88
Tick Andrea et al. Navigating the Digital Frontier: Exploration of Education Digitalization in Africa. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000093-000098
Moagi Tladinyane et al. Social media’s impact: influencing purchases, shaping choices. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000099-000105
Katalin Jäckel et al. Generation Z motivations at work based on primary findings among Chinese youth. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000113-000117
Balázs Sallay et al. Knowledge of cryptocurrencies and blockchain technology through the eyes of different generations. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000119-000123
Donát Gerencsér et al. The impact of the inflationary environment on individuals' financial culture and purchasing decisions. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000125-000129
Yameng Xue et al. The determinants that impact customer purchase intention in the context of exercise equipment live streaming. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000131-000135
Albert Molnár et al. Are cross-asset spillovers evidence of an antiequilibrium? An analysis of the S&P500 index and Brent crude oil prices.. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000137-000143
Patrik Viktor et al. Comprehensive analysis of IOTS tools. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000145-000152
Patrik Viktor et al. Adapting self-driving technology. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000153-000158
Ágnes Csiszárik-Kocsir et al. The role of digitalisation in strengthening the competitiveness of education. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000159-000163
Oszkár Dobos et al. Main challenges of a research, development and innovation project in the academic sector. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000165-000170
Ágnes Csiszárik-Kocsir et al. Interpreting the meaning of agility, perceiving its individual importance through the eyes of different generations. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000171-000176
János Varga et al. Perceptions of local macroeconomic challenges faced by Hungarian enterprises and how to meet them along competitiveness dimensions. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000177-000182
János Varga et al. Microeconomic factors affecting competitiveness based on the opinion of Hungarian companies. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000183-000188
Csilla Ilona Mizser. Startups and mediation - trust for our future commitments. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000189-000195
Ádám Mészáros. Agile Methodology for Competitiveness. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000197-000200
Péter Váradi et al. Response Surface Methodology to Characterize the Indicators for the Early Detection of Fraudulent Cases in the Motor Insurance Market. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000201-000204
Péter Galambos. Generative Neural Models in Robotics: Pioneering the Embodied AI Revolution. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings p. 000205
László Horváth. Intelligent Computing Integrated Autonomous Model of Research. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000213-0002018
Haya Altaleb et al. A Comprehensive Analysis and Solutions for Enhancing SCADA Systems Security in Critical Infrastructures. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000247-000252
Marianna Dimitrova Kucarov et al. Control of Continuous, High Purity Distillation Column Using Nonlinear Adaptive Control Based on Robust Fixed Point Transformation Phenomena. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000259-000264
István Dénes et al. Impact Determination Exercise in cyber security assessments of Industrial Automation and Control Systems. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000265-000270
Marine Voskanyan et al. An Investigation of the Hydrochemical Parameters for Natural Monuments. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000327-000331
István Bendiák et al. Analysis of Mechanical Faults of Asynchronous Motors Based on the Abrasion Map. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000339-000344
Amir Mosavi et al. ChatGPT and Large Language Models in Healthcare: a Bibliometrics Analysis and Review. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000345-000349
Alex Bárdi et al. Optimizing Algorithmic Trading by Integrating Sentiment Analysis. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000359-000363
Barbara Simon et al. Data collection studies for the better understanding of factors in type 1 diabetes management. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000375-000380
Qose Silvana et al. Blockchain Applications in AI and Security (Case study HealthCare). (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000381-000385
Szabolcs Csaholczi et al. Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning. (2024) Megjelent: IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings pp. 000399-000404
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