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Bejelentkezés
A Tudóstér funkcióinak nagy része bejelentkezés nélkül is elérhető. Bejelentkezésre az alábbi műveletekhez van szükség:
Pándy, Á.,
Lakatos, R.,
Hajdu, A.:
Error-Driven Prompt Optimization for Arithmetic Reasoning: A Code Generation Approach Using On-Premises Small Language Models on Tabular Data.
IEEE Access. [Epub ahead of print], 1- 16, 2026.
D1
Industrial and Manufacturing Engineering
(2025)
D1
Safety, Risk, Reliability and Quality
(2025)
2025
4.
Abuhayi, B. M.,
Hajdu, A.:
A Hybrid Compact Convolutional Transformer with Bilateral Filtering for Coffee Berry Disease Classification.
Sensors. 25 (13), 1-23, (cikkazonosító: 3926), 2025.
Kapusi, T. P.,
Erdei, T. I.,
Husi, G.,
Hajdu, A.:
Application of image translation-based approach in industrial manufacturing system for object identification.
Int. rev. appl. sci. eng. 17 (1), 13-23, 2025.
Su, Y.,
Liu, J.,
Li, J.,
Huang, X.,
Hajdu, A.,
Fu, R.,
Xu, B.,
Wang, Y.,
Liu, X.,
Li, Z.,
Wang, Q.:
Applications of artificial intelligence and large language models in cancer immunotherapy.
Current Proteomics. 22 (5), 1-5, (cikkazonosító: 100057), 2025.
Beregi-Kovács, M.,
Harangi, B.,
Hajdu, A.,
Gát, G.:
Generation of Synthetic Non-Homogeneous Fog by Discretized Radiative Transfer Equation.
J. Imaging. 11 (6), 1-22, (cikkazonosító: 196), 2025.
Yan, X.,
Li, Z.,
Jiang, A.,
Chen, J.,
Huang, X.,
Hajdu, A.,
Wong, H. Z. H.,
Cheng, Q.,
Zhang, J.,
Lin, A.,
Luo, P.:
Immunotherapy-induced cholestasis in cancer: insights from the two real-world pharmacovigilance databases of FAERS and VigiBase.
Int. J. Surg. 111 (8), 5105-5121, 2025.
Al-Hamadani, M. N. A.,
Poroszlay, R.,
Szemán-Nagy, G.,
Hajdu, A.,
Hadjidemetriou, S.,
Ferrarini, L.,
Harangi, B.:
Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm.
Sensors. 25 (14), 1-15, (cikkazonosító: 4361), 2025.
Lakatos, R.,
Pollner, P.,
Hajdu, A.,
Joó, T.:
Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems.
Mach. Learn. Knowl. Extr. 7 (1), 1-18, (cikkazonosító: 15), 2025.
Kapusi, T. P.,
Erdei, T. I.,
Abdullah, M.,
Husi, G.,
Hajdu, A.:
SCARA Assembly AI: The Synthetic Learning-Based Method of Component-to-Slot Assignment with Permutation-Invariant Transformers for SCARA Robot Assembly.
Robotics. 14 (12), 1-36, (cikkazonosító: 175), 2025.
Huang, X.,
Li, Z.,
Wang, Q.,
Liu, J.,
Zhang, G.,
Chen, R.,
Bu, X.,
Wang, Y.,
Luo, P.,
Zhang, L.,
Hajdu, A.:
Space Dentistry Combined With Remote and AI Technologies, a Necessity for Long-Term Stays: Thoughts of US Astronauts' Unexpected Stay.
Oral Dis. 31 (8), 1-2, 2025.
Lin, A.,
Zheng, K.,
Jiang, A.,
Huang, X.,
Wang, Q.,
Hajdu, A.,
Li, Z.,
Zhang, J.,
Luo, P.:
The Evolving Landscape of Immunotoxicity: Charting Mechanisms and Future Strategies for Immune Checkpoint Inhibitor Adverse Events.
Med Research. 1 (1), 1-37, 2025.
Lakatos, R.,
Pollner, P.,
Hajdu, A.,
Joó, T.:
A multimodal deep learning architecture for smoking detection with a small data approach.
Front. Artif. Intell. 7, 1-8, (cikkazonosító: 1326050), 2024.
Kupás, D.,
Hajdu, A.,
Kovács, I.,
Hargitai, Z.,
Szombathy, Z.,
Harangi, B.:
Annotated Pap cell images and smear slices for cell classification.
Sci Data. 11 (1), 1-8, (cikkazonosító: 743), 2024.
Sarkar, J. P.,
Hajdu, A.:
Comparative Analysis of Deep Learning Methods for Schizophrenia Classification from fMRI Scans.
In: 2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS) ISBN: 9798350384727
Lakatos, R.,
Urbán, E. K.,
Szabó, Z. J.,
Pozsga, J.,
Csernai, E.,
Hajdu, A.:
Designing Prompts and Creating Cleaned Scientific Text for Retrieval Augmented Generation for More Precise Responses from Generative Large Language Models.
In: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) / Hajdu Andras, Institute of Electrical and Electronics Engineers, Piscataway (NJ), 1-6, 2024.
Serban, N.,
Kupás, D.,
Hajdu, A.,
Török, P.,
Harangi, B.:
Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.
Sensors. 24 (9), 1-12, (cikkazonosító: 2926), 2024.
Tiba, A.,
Hajdu, A.,
Girászi, T.:
Finding Efficient Graph Embeddings and Processing them by a CNN-based Tool.
Neural Process Lett. 56 (5), 1-25, (cikkazonosító: 226), 2024.
