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Bejelentkezés
A Tudóstér funkcióinak nagy része bejelentkezés nélkül is elérhető. Bejelentkezésre az alábbi műveletekhez van szükség:
Daoud, A. M. A.,
Alawad, A. M.,
Mohammed, M. A. A.,
Dawod, A. B. A.,
Rózsa, P.:
Depositional–diagenetic evolution of the Wadi Halfa Oolitic Ironstone Formation, northern Sudan: A multivariate statistical approach.
J Afr Earth Sci. [Epub ahead of print]245, 1-50, (cikkazonosító: 106369), 2027.
Ahmed, A. H.,
Tomán, H.:
A hybrid framework for UAV obstacle avoidance integrating reactive sensing, LiDAR planning, and deep reinforcement learning in real time.
Results in Engineering. 30, 1-14, (cikkazonosító: 110150), 2026.
Düzenli, K.,
Al-Hamad, A.,
Gilányi, A.:
A python pipeline for interactive visualization of systematic literature review data.
SoftwareX. 35, 1-5, (cikkazonosító: 102773), 2026.
Wedyan, M.,
SafaA, D.,
Al-Hamad, A.,
Gilányi, A.:
A Review of Emotion-Aware Adaptive Virtual Reality Games for Player Emotional Profiling and Intelligent Personalization.
In: Proceedings of the 17th International Conference on Information and Communication Systems (ICICS '26). Eds.: Muneer Bani Yassein; Ahmad M. Mustafa; Qasem Abu Al-Haija, Association for Computing Machinery, New York, 1-6, 2026. ISBN: 9798400723506
Apró, A.,
Tajti, T. G.:
Bayesian adaptive assessment with distribution-aware item selection: An empirical study on uncertainty reduction and test efficiency.
Ann. Math. Inform. 63 ((2026),), 32-41, 2026.
Odeh, O. F. M.,
Bite, M.,
Kocsis, D.:
Case Study: Noise Source Analysis Through Environmental Noise Measurements.
In: Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum, EuroNoise 2025. Eds.: Daniel de la Prida, Jaime Ramis, María Machimbarrena, European Acoustics Association, Malaga, 943-947, 2026. ISBN: 9788487985355
Szilágyi, P.,
Sógor, G.,
Tóth, J.:
Data-Efficient Chest X-Ray Classification Under Severe Label Scarcity with Lightweight Backbones.
In: 2026 IEEE 4th Conference on Information Technology and Data Science (CITDS) Proceedings. Ed.: Fazekas István, IEEE, Debrecen, 369-374, 2026. ISBN: 9798319507006
Nagy, C. N.,
Huszti, A.,
Oláh, N.:
Design of a Permissioned Blockchain System with Time-Locked Encryption and Auditable Modification.
In: Lecture Notes in Networks and Systems. Eds.: Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi, Springer Nature Switzerland, Cham, 217-229, 2026. ISBN: 9783032345639
Mohammed, A. A.,
Al, S. Z. A.,
Abd, Z. M. M.,
Abduljabbar, Z. A.,
Aldarbandee, M.,
Jaber, H.,
Alshuwaili, D. G. H.,
Szathmáry, L.,
Nyangaresi, V. O.,
Ali, A. H.,
Neamah, H. A.:
Enhanced Arrhythmia Diagnosis Using a Hybrid Deep Learning Model: A CNN-LSTM-GRU Approach on ECG Data.
Biosens Bioelectron: X. [Epub ahead of print], 1-19, (cikkazonosító: 100767), 2026.
Al-Hamad, A.,
Csernoch, M.,
Gilányi, A.:
Enhancing Warehouse Safety and Resilience Through Virtual Reality: A User-Centered Design Approach to Training Feasibility.
Journal of Safety Science and Resilience. 7 (4), 1-20, (cikkazonosító: 100305), 2026.
Alfayyadh, F. K. J.,
Gilányi, A.:
Exploring student engagement and reuse intention in a VR-based art exhibition.
Comput. Hum. Behav. Rep. 21, 1-11, (cikkazonosító: 100925), 2026.
Terdik, G.,
Dawod, A. B. A.:
Extending GLASSO to Non-Gaussian Settings: Sparse Concentration Estimation via EM Algorithm.
Comput. Stat. 41, 1-33, (cikkazonosító: 90), 2026.
Erős, B. D.,
Kunkli, R.:
FragmentVis: data visualization-based analysis of puzzle players' solution strategies.
Eurasian J Math Comput Appl. 14 (3), 25–45, 2026.
Odeh, O. F. M.,
Kocsis, D.:
From models to reality: how CNOSSOS-EU and ISO 9613-2 perform against measured road traffic noise.
Noise Mapping. 13 (1), 1-12, (cikkazonosító: 20250023), 2026.
Gafarov, I.,
Qasem, Z.,
Düzenli, K.,
Harangi, B.,
Al-Hamadani, M. N. A.:
Hyperparameter-Aware Evaluation of Deep Learning Architectures for AI-Generated Image Detection.
In: 2026 IEEE 4th Conference on Information Technology and Data Science (CITDS) Proceedings /ed. Istvan Fazekas, IEEE, Debrecen, 1-6, 2026. ISBN: 9798319507006
Nawab, M. R. I.,
Tajti, T. G.:
Iterative Label Fuzzification in Deep Learning for Sentiment Analysis: An Empirical Study on the IMDB Dataset.
The 13th International Conference on Applied Informatics, ICAI 2026 : Abstracts 1-3, (cikkazonosító: 88), 2026.
Odeh, O. F. M.,
Khayyat, A.,
Kocsis, D.:
Key Updates In ISO 9613-2:2024 - What's New In Outdoor Noise Prediction Standards?.
In: Proceedings of the 11th Convention of the European Acoustics Association Forum Acusticum, EuroNoise 2025. Eds.: Daniel de la Prida, Jaime Ramis, María Machimbarrena, European Acoustics Association, Malaga, 1259-1264, 2026. ISBN: 9788487985355
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The 13th International Conference on Applied Informatics, ICAI 2026 : Abstracts
Tudományos közlemények (Debreceni Egyetem. Műszaki Főiskolai Kar)