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IVUS 2024: Kaunas, Lithuania
- Ilona Veitaite, Audrius Lopata, Tomas Krilavicius, Marcin Wozniak:
Proceedings of 29th International Conference Information Society and University Studies, Kaunas, Lithuania, May 17, 2024. CEUR Workshop Proceedings 3885, CEUR-WS.org 2024 - Justas Kardoka, Agne Paulauskaite-Taraseviciene, Darius Pupeikis:
Building Heat Loss Evaluation using Artificial Intelligence Methods and Thermal Photogrammetry. 1-8 - Piotr Zerdzinski:
Fine-Grained Visual Classification of Fish. 9-18 - Saeid Javid, María Luisa Pérez-Delgado:
An Overview of Patient Monitoring Systems Based on Machine Learning in the Internet of Things. 19-29 - Mukhriddin Arabboev, Shohruh Begmatov, Mokhirjon Rikhsivoev, Saidakmal Saydiakbarov, Zukhriddin Khamidjonov, Sardor Vakhkhobov, Khurshid Aliyarov, Khabibullo Nosirov:
Analysis of Datasets Created to Assess the Risk of Developing Gestational Diabetes Mellitus. 30-38 - Arnas Nakrosis, Agne Paulauskaite-Taraseviciene, Romas Gruzauskas:
Advancements in AI for Poultry Farming to Ensure Early Detection to Tackle Fallen Bird Incidents. 39-48 - Juozas Sirmenis, Mindaugas Kavaliauskas, Ingrida Lagzdinyte-Budnike:
Predicting Company Credit Rating Using Artificial Intelligence Techniques from Publicly Available Financial Data. 49-58 - Davit Begashvili, Giorgi Akhalaia, Avtandil Gagnidze, Sergiy Gnatyuk:
Fast-Fourier Transform in 5G Network. 59-68 - Tomasz Bury:
Self-Attention Generative Adversarial Network. 69-78 - Maksim Iavich, Maia Ninidze:
Advancements in Dating Undated Manuscripts through Dual Methodologies. 79-88 - Wiktoria Plechta:
Comparison of Neural Network Models with GRU and LSTM Layer for Earthquake Prediction. 89-98 - Andrii Matsevytyi, Vytautas Rudzionis:
Exploring Convolutional Architecture Capabilities for Image Classification Tasks with Insufficient Amount of Data. 99-108 - Kajus Cerniauskas, Dainius Kirsnauskas, Paulius Preiksa, Gabrielius Salyga, Nojus Sajauskas, Junius Vaitkus, Gerda Zemaitaityte, Kazimieras Bagdonas:
KATH: A No-Coding Data Processing Aid for Genetic Researchers. 109-120 - Maksim Iavich, Zura Kevanishvili:
Detecting Fair Play Violations in Chess Using Neural Networks. 121-127 - Artur Kostera:
Expert System for Analyzing CT Images Using CNN With a Self-Attention Module. 128-137 - Luis Diego Carranza, Víctor Manuel Escobar, Manuel Cardona, José Luis Ordoñez-Ávila:
Design of a Wheel Legged Robot. 138-147 - Dalius Gudeika:
Density Functional Theory Calculations in Designing Symmetric and Asymmetric TADF Emitters. 148-154 - Irakli Basheleishvili, Giorgi Kapanadze, Sergo Tsiramua:
Development of Websites Ranking Algorithm Based on SEO Metrics. 155-164 - Domas Grigaliunas, Mantas Lukosevicius:
Inference Acceleration for Large Language Models Using "Stairs" Assisted Greedy Generation. 165-174 - Ilona Veitaite, Audrius Lopata:
Financial Anomalies Detection Method Example. 175-184 - Julius Gudauskas:
Providing Brands Visibility Data in Live Sports Videos Using Deep Learning Algorithms. 185-194 - Justas Juknys:
Anomaly Detection for System Logs Literature Overview. 195-202 - Erick Fernando Hernández-Solórzano, Silvio Lazaro, José Luis Ordoñez-Ávila:
Design and Manufacturing of a 3D-Printed Underwater Robot Through Parameters CAD/CFD and Stress Analysis for Optimization and Performance. 203-212 - Giorgi Tomadze, Ilia Lomidze, Mikheil Kurashvili, Giorgi Akhalaia, Vladimer Svanadze:
The Dark Side of Radio Technology. 222-230 - Irakli Basheleishvili, Giorgi Vardosanidze, Giorgi Makharoblidze:
Development of a Lecture Attendance Registration System Based on Facial Recognition. 231-238 - Juozas Sirmenis, Mantas Lukosevicius:
Basketball Board Detection Using YOLO Algorithms. 239-248 - Brigita Vileikyte, Mantas Lukosevicius, Lukas Stankevicius:
Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models. 249-258 - Shohruh Begmatov, Mukhriddin Arabboev, Mokhirjon Rikhsivoev, Saidakmal Saydiakbarov, Zukhriddin Khamidjonov, Sardor Vakhkhobov, Khurshid Aliyarov, Oybek Karimov:
Ball and Player Detection in Futsal Videos using YOLOv8 Model. 259-269 - Mantas Bacevicius:
Class-Focused Evaluation of Deep Learning Techniques for Network Intrusion Detection. 270-277 - Martinas Macernius, Romas Baronas:
Computational Analysis of the Influence of the Model Boundary Conditions on the Bacterial Self-Organization. 278-287 - Gytis Baravykas, Justas Kardoka, Domas Grigaliunas, Darius Naujokaitis:
Assigning Different Activation Functions in Artificial Neural Networks with the Goal of Achieving Higher Prediction Accuracy. 288-299 - Antoni Jaszcz, Szymon Hankus, Michal Bober, Bartosz Bugla:
Efficient Dijkstra-Based Greedy Algorithm for Cycle-Route Planning. 300-309 - Zia Ur Rehman:
Enhancing Image Processing with GANs in Noisy Environments. 310-321 - Adam Grelewicz, Mateusz Lis, Dawid Michalak:
Music Genre Recognition. 322-335 - Katarzyna Czernik, Karolina Kamela:
Text Classification Algorithms. 336-349 - Martyna Kramarz, Dominik Dzida:
Classificatikon of Obesity Types using Random Forest and Decision Tree algorithms. 350-365 - Hubert Bojda, Dawid Gala:
Analysis the Performance of Naive Bayes and K-Nearest Neighbor Classifiers. 366-373 - Oliwia Cimala, Maria Bochenska:
Comparison of Classifiers for Predicting Heart Attack in Patients. 374-381 - Kamil Jedrzkiewicz, Adam Kaszubowski, Mateusz Goik:
Comparison of Classifiers for Lung Cancer Prediction. 382-389 - Szymon Molitorys, Bartlomiej Pilot, Kacper Smyrak:
Text Classification. 390-398 - Piotr Solarczyk, Jakub Stachurski:
Comparison of Soft Set and KNN Methods for Recommendation Systems. 399-405 - Weronika Wolowczyk, Ewa Szymik:
Movie Recommendation System. 406-414 - Zaneta Pawelec, Grzegorz Grochowski, Aleksandra Starowicz:
Language Recognition Implemented into Machine Learning Algorithms. 415-426 - Krzysztof Guminski, Jakub Miarka:
Comparison of Learning Classifier Algorithms for Mental Health Problems Recognition. 427-435 - Radoslaw Jedrzejczyk, Katarzyna Kleczek:
Analysis of Selected Algorithms for the Classification of Space Objects. 436-445 - Norbert Luchowski, Piotr Chimiak:
Using Soft Sets as an Improvement for K-Nearest Neighbors Algorithm. 446-455 - Jan Mierzwa, Jakub Plocidem:
Heart Disease Prediction System Utilizing KNN and Naive Bayes Classifiers with Added Priorities. 456-465 - Aleksandra Stachecka, Tomasz Procek:
Face Recognition using Naive Bayes Classifier. 466-474 - Szymon Antonik, Bartosz Baba:
Stacked Generalization - Investigating the Impact on Predictive Performance of Basic Machine Learning Models. 475-484 - Bilal Masih:
Recurrent Neural Network Model for Time Series Analysis. 485-498 - Irfan Mahmood:
Long-Short Term Memory Neural Network for Incomplete Data Inputs. 499-513
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