The 2024 IEEE 3rd Conference on Information Technology and Data Science
Preliminary Book of Abstracts
*******************************************************************************************************************************************************************************************
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.
How can we connect to an online session?
Connecting from browser
Connecting from application
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 |