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The 2024 IEEE 3rd Conference on Information Technology and Data Science
Preliminary Book of Abstracts
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Information for authors:
The conference will start on the 26th of August 2024 at 9 a.m. and will continue on the 27th of August 2024 from 9.00 a.m. to 17.10 p.m. UTC+2. There will be two plenary lectures on each conference day and two parallel sessions will take place. The authors have a 15 minute talk to present their research and plus 5 minutes for questions and answers. The plenary and keynote lectures will be 30-minute talks. Please prepare your conference presentation in advance according to these time limits. The CISCO Webex online platform will be used for the conference.
The conference venue:
will be the building of the Faculty of Informatics, University of Debrecen, Hungary.
Detailed information about the location.
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26th Aug, MONDAY
| 09:00 - 09:10 |
Conference Opening - Room: IF01 General Chair of CITDS2024: András Hajdu |
|
| 09:10 - 09:40 Plenary Talk |
AI Ethics: What Is the Real Question? |
|
| 09:40 - 10:00 |
Coffee Break |
|
| Session A - Room: IF01 Artificial Intelligence and its Applications Chair: András Hajdu |
Session B - Room: IF02 Temporal Data Science with Applications Chair: Márton Ispány Stochastic models in Data Science Chair: István Fazekas |
|
| 10:00 - 10:20 | Automatic Analysis of Thermal Images to Detect Hot Spot Regions Norbert Serbán and Balázs Harangi |
SAWE: Signature-based Aggregated Window Embedding for Unsupervised Time Series Segment Clustering Marcell Németh and Gábor Szűcs |
| 10:20 - 10:40 | Model-based neural networks for thermographic image reconstruction - online Gergő Galiger, Nazila Azadi, Bernhard Lehner, Mario Huemer and Péter Kovács |
Requirement Specification of an Information Bank Gábor Kusper, Gyula Erdei and Attila Szekeres |
| 10:40 - 11:00 | A comparative study of pre-trained models in breast ultrasound image segmentation Dhafer G. Honi, Mohammed Nsaif, Szathmáry László and Szeghalmy Szilvia |
TimeTune: Personalized Study Plans Generation with Google Calendar Integration Chevon Fernando and Banuka Athuraliya |
| 11:00 - 11:20 |
Coffee Break |
|
| 11:20 - 11:40 | Towards machine learning based text categorization in the financial domain Frederic Voigt, Jose Alcarez Calero, Keshav Dahal, Qi Wang, Kai von Luck and Peer Stelldinger |
Applying Hybrid Forecasting Model SARIMA–SVR for Daily Energy Consumption Data Herry Kartika Gandhi |
| 11:40 - 12:00 | Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language - online Felix Neubürger, Yasser Saeid, Thomas Kopinski, Stefanie Krügl, Helena Hüster and Ralf Lanwehr |
Yule-Walker estimation of periodic INAR signals Márton Ispány |
| 12:00 - 12:20 | Designing prompts and creating cleaned scientific data for Retrieval Augmented Generation for more precise responses from generative large language models - online Róbert Lakatos, Eszter Klára Urbán, Zoltán János Szabó, János Pozsga, Eszter Csernai and András Hajdu |
Valid Decoding in Gaussian Mixture Models Branislav Rudic, Markus Pichler-Scheder and Dmitry Efrosinin |
| 12:20 - 14:00 |
Lunch Break |
|
| 14:00 - 14:30 Plenary Talk |
||
| 14:30 - 14:50 |
Coffee Break |
|
| Session A - Room: IF01 Internet of Things, Operational Technology and Networking Chair: Zoltán Gál |
Session B - Room: IF02 Stochastic models in Data Science Chair: István Fazekas Optimization and Decision Support Chair: Anett Rácz |
|
| 14:50 - 15:10 | Using Speech Data to Automatically Characterize Team Effectiveness to Optimize Power Distribution in Internet-of-Things Applications Gnaneswar Villuri and Alex Doboli |
Modelling and visualization of spatial data: A case study of COVID-19 data in Maine, USA. - online Ismail H. Abdi |
| 15:10 - 15:30 | A Framework and a Theoretical Model to Integrate Internet-of-Things with Human Behavior in Teams Alex Doboli |
A family of random graph evolution models with moderate density István Fazekas and László Fórián |
| 15:30 - 15:50 | Evaluating RNN Models for Multi-Step Traffic Matrix Prediction Mohammed Nsaif, Gergely Kovásznai, Hasanein D. Rjeib, Ali Malik and Ruairí de Fréin |
Investigating the influence of hyperparameters on the optimal time-series prediction ability of generative large language models - online Árpád Pándy, Róbert Lakatos, Péter Pollner, Eszter Csernai and András Hajdu |
| 15:50 - 16:10 |
Coffee Break |
|
| 16:10 - 16:30 | Analysis of different Indoor Environment for the Terahertz propagation - online Nagma Elburki and Sofiene Affes |
Smart RANSAC: A Robust Approach - online Vinayak Raju and Chetana Pujari |
| 16:30 - 16:50 | Impact of Random Number Generation Methods Usage on Swarm Intelligence Algorithms for Energy Optimization in Wireless Sensor Networks Levente Filep and Zoltán Gál |
Purpose of mobility data usage and risk assessment: POSMO ethical data market case Olena Yatsenko |
| 16:50 - 17:10 | Design of the Simulation Analysis Tool for Wireless Sensor Network - online Péter Polgár, Levente Filep and Zoltán Gál |
Application of different option numbers in Thurstone motivated models László Gyarmati, Csaba Mihálykó and Éva Orbán-Mihálykó |
| 17:10 - 17:30 | ECG Data Classification With Privacy Preservation in the IoT Context Codruta Maria Serban, Gheorghe Sebestyen and Anca Hangan |
Consistency and inconsistency in the case of a stochastic paired comparison model Csaba Mihálykó, Éva Orbán-Mihálykó and László Gyarmati |
27th Aug, TUESDAY
| 09:00 - 09:30 Plenary Talk |
||
| 09:30 - 09:50 |
Coffee Break |
|
| Session A - Room: IF01 Automata, Logic, and Models of Computation Chair: György Vaszil Predictive Analytics Chair: Ágnes Fogarassyné Vathy |
Session B - Room: IF02 Software Technology Chair: László Szathmáry Artificial Intelligence and its Applications Chair: Balázs Harangi |
|
| 09:50 - 10:10 | On properties of feasibility in non-standard Heyting arithmetic Péter Battyányi |
Next Generation of Assessment Evaluation System for IT Configuration Challenges Tamás Kádek and Piroska Biró |
| 10:10 - 10:30 | Parsing Boolean grammars with a three-valued semantics Adrián Patrik |
Transforming Erlang Server Applications - online Zsófia Erdei, István Bozó and Melinda Tóth |
| 10:30 - 10:50 | Non-cooperative Polymorphic P systems Anna Kuczik |
Availability modeling in Software Architecture Tamás Bartók, Ferenc Héjja and Gergely Kocsis |
| 10:50 - 11:10 |
Coffee Break |
|
| 11:10 - 11:30 | A Two-Component Approach of Granules in Rough Sets Theory Tamás Kádek |
Machine Learning Classification Approach for Refractive Index Prediction of D-Shape Plasmonic Biosensor - online Nazrul Islam, Md. Nahid Hasan, Mia Mohammad Shoaib Hasan, Imam Hossain Shibly, Mohammad Abu Yousuf and Md. Zia Uddin |
| 11:30 - 11:50 | Predicting Engineering Students’ Employability using Data Mining Classification Techniques - online Maria Elisa Linda Cruz, Mohammed Muneerali, Badria Al Ruqishi and Bernard Cruz |
Machine Learning-Based Fine-Tuning for Accented Speech Recognition in Trinidad and Tobago - online Koffka Khan and Shaquille De Lancy |
| 11:50 - 12:10 | Winner prediction model for basketball matches based on statistical data of teams, players, and line-ups Chanin Witheesawas and Suphakant Phimoltares |
Emotion recognition based on facial gestures and Convolutional Neural Networks - online Francisco Emiliano Sanchez-Callejas, Irving A. Cruz-Albarran and Luis A. Morales-Hernandez |
| 12:10 - 14:00 |
Lunch Break |
|
| 14:00 - 14:30 Plenary Talk |
||
| 14:30 - 14:50 |
Coffee Break |
|
| Session A - Room: IF01 Autonomous vehicles and embedded systems Chair: Imre Varga Artificial Intelligence and its Applications Chair: János Tóth |
Session B - Room: IF02 Artificial Intelligence and its Applications Chair: József Sütő |
|
| 14:50 - 15:10 | Application of digital twins for connected, cooperative and automated mobility - online Alexandru Forrai, Amit Gali and Ion Barosan |
Further Keyword Generation Experiment in Hungarian with Fine-tuning PULI LlumiX 32K Model Réka Dodé and Zijian Győző Yang |
| 15:10 - 15:30 | Forecasting Roll Rate for Sensor Plausibility Check in Off-Road Vehicle Conditions - online János Kontos, László Bódis and Ágnes Vathy-Fogarassy |
Improving Machine Translation Capabilities by Fine-Tuning Large Language Models and Prompt Engineering with Domain-Specific Data László János Laki and Zijian Győző Yang |
| 15:30 - 15:50 | A speed detection method for BLDC motor - online Fehmi Sevilmiş, Ali Sait Özer and Hulusi Karaca |
Training Embedding Models for Hungarian Péter Hatvani and Zijian Győző Yang |
| 15:50 - 16:10 |
Coffee Break |
|
| 16:10 - 16:30 | Robust Pole Identification and Model Reduction for SISO-LTI Systems: A Frequency Domain Approach - online Mátyás Márton Szabari |
Prediction Uncertainty and Node Usefulness in Shallow Unattributed Graph Neural Networks for Explainability Richárd Kiss and Gábor Szűcs |
| 16:30 - 16:50 | A ConvNeXt V2 Approach to Document Image Analysis: Enhancing High-Accuracy Classification - online Md Saiful Islam Sajol, A S M Jahid Hasan, Md Shazid Islam and Md Saydur Rahman |
A stacked ensemble model to identify Bangla religious hate comments - online Md. Nahid Hasan, Raiyan Azim, Mahmudul Hasan and Md. Monarul Islam |
| 16:50 - 17:10 | ... ... |
Analysis of the B5G/6G Communication Power Entropy Patterns Based on Generative AI Methods - online Djamila Talbi and Zoltán Gál |
