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2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings
András, Hajdu [Hajdu, András (Matematika és szá...), szerző] Informatikai Kar (DE)
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok, 262 p.
2024
Konferencia:
IEEE 3rd Conference on Information Technology and Data Science 2024-08-26 [Debrecen, Magyarország]
Azonosítók
MTMT: 35427328
ISBN:
9798350387889
Fejezetek
Kusper G. et al. Requirement Specification of an Information Bank. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings
Pandy A. et al. Investigating the influence of hyperparameters on the optimal time-series prediction ability of generative large language models. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings
Bartók Tamás et al. Availability Modeling in Software Architecture. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Battyányi Péter. On Properties of Feasibility in Non-Standard Heyting Arithmetic. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-2
Erdei Zsófia et al. Transforming Erlang Server Applications. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Filep Levente et al. Impact of Random Number Generation Methods Usage on Swarm Intelligence Algorithms for Energy Optimization in Wireless Sensor Networks. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Forrai Alexandru et al. Application of Digital Twins for Connected, Cooperative and Automated Mobility. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-7
Galiger Gergo et al. Model-Based Neural Networks for Thermographic Image Reconstruction. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Gyarmati László et al. Application of Different Option Numbers in Thurstone Motivated Models. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Kádek Tamás et al. Next Generation of Assessment Evaluation System for IT Configuration Challenges. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-4
Kontos János et al. Forecasting Roll Rate for Sensor Plausibility Check in Off-Road Vehicle Conditions. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Lakatos Róbert et al. Designing Prompts and Creating Cleaned Scientific Text for Retrieval Augmented Generation for More Precise Responses from Generative Large Language Models. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Mihálykó Csaba et al. Consistency and Inconsistency in the Case of a Stochastic Paired Comparison Model. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Polgar Peter et al. Design of the Simulation Analysis Tool for Wireless Sensor Network. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Serban Norbert et al. Automatic Analysis of Thermal Images to Detect Hot Spot Regions. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 1-6
Dodé Réka et al. Further Keyword Generation Experiment in Hungarian with Fine-tuning PULI LlumiX 32K Model. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 20-24
Hatvani Péter et al. Training Embedding Models for Hungarian. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 75-80
Dhafer G. Honi et al. A comparative study of pre-trained models in breast ultrasound image segmentation. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 81-86
Ispany Marton. Yule-Walker estimation of periodic INAR signals. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 93-100
Jenei Sándor. Decidability, Interpolation, Amalgamation - A Case Study from Algebra through Logic to Computer Science. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 101-101
Kiss Richárd et al. Prediction Uncertainty and Node Usefulness in Shallow Unattributed Graph Neural Networks for Explainability. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 107-112
Kuczik Anna. Non-cooperative Polymorphic P systems. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 119-120
Laki Laszlo Janos et al. Improving Machine Translation Capabilities by Fine-Tuning Large Language Models and Prompt Engineering with Domain-Specific Data. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 129-133
Németh Marcell et al. SAWE: Signature-based Aggregated Window Embedding for Unsupervised Time Series Segment Clustering. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 146-151
Mohammed Nsaif et al. Evaluating RNN Models for Multi-Step Traffic Matrix Prediction. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 152-157
Raju Vinayak et al. Smart RANSAC: A Robust Approach. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 170-174
Taeza-Cruz Maria Elisa et al. Predicting Engineering Students' Employability using Data Mining Classification Techniques. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 216-222
Talbi Djamila et al. Analysis of the B5G/6G Communication Power Entropy Patterns Based on Generative AI Methods. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 223-228
Yang Zijian Győző et al. The First Instruct-Following Large Language Models for Hungarian. (2024) Megjelent: 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS) Proceedings pp. 247-252
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2025-05-14 03:59
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