| 2024 | Determining Mouse Behavior Based on Brain Neuron Activity Data. | Anastasia Vodeneeva, Iosif B. Meyerov, Yury Rodimkov, Mikhail Ivanchenko, Vladimir Sotskov, Mikhail Krivonosov, Konstantin Anokhin |
| 2024 | Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to Solve the Poisson's Equation in Hall-Effect Thrusters Simulations. | Gabriel Vigot, Bndicte Cuenot, Olivier Vermorel |
| 2024 | Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks. | Sai Karthikeya Vemuri, Tim Bchner, Joachim Denzler |
| 2024 | Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks. | Sofiia Vdovkina, Ilya V. Derevitskii, Levon Abramyan, Aleksandra Vatian |
| 2024 | Multiobjective Optimization of Complete Coverage and Path Planning for Emergency Response by UAVs in Disaster Areas. | Krzysztof Trojanowski, Artur Mikitiuk, Jakub Grzeszczak, Frdric Guinand |
| 2024 | Local Sensitivity Analysis of a Closed-Loop in Silico Model of the Human Baroregulation. | Karolina Tlalka, Harry Saxton, Ian Halliday, Xu Xu, Daniel J. Taylor, Andrew J. Narracott, Maciej Malawski |
| 2024 | HarVI: Real-Time Intervention Planning for Coronary Artery Disease Using Machine Learning. | Cyrus Tanade, Amanda Randles |
| 2024 | Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum. | Imane Taleb, Jean-Loup Guillaume, Benjamin Duthil |
| 2024 | Simulation of Droplet Dispersion from Coughing with Consideration of Face Mask Motion. | Ayato Takii, Tatsuya Miyoshi, Masashi Yamakawa, Yusei Kobayashi, Shinichi Asao, Seiichi Takeuchi, Makoto Tsubokura |
| 2024 | Coupling PIES and PINN for Solving Two-Dimensional Boundary Value Problems via Domain Decomposition. | Krzysztof Szerszen, Eugeniusz Zieniuk |
| 2024 | Elimination of Computing Singular Surface Integrals in the PIES Method Through Regularization for Three-Dimensional Potential Problems. | Krzysztof Szerszen, Eugeniusz Zieniuk |
| 2024 | Cascade Training as a Tree Search with Dijkstra's Algorithm. | Dariusz Sychel, Aneta Bera, Przemyslaw Klesk |
| 2024 | Human Sex Recognition Based on Dimensionality and Uncertainty of Gait Motion Capture Data. | Adam Switonski, Henryk Josinski |
| 2024 | Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search. | Szymon Swiderski, Agnieszka Jastrzebska |
| 2024 | Automated Discovery of Concurrent Models of Decision-Making Systems from Data. | Zbigniew Suraj, Piotr Grochowalski, Pawel Drygas |
| 2024 | Towards Federated Learning on the Quantum Internet. | Leo Snkel, Michael Klle, Tobias Rohe, Thomas Gabor |
| 2024 | A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification. | Rauzan Sumara, Wladyslaw Homenda, Witold Pedrycz, Fusheng Yu |
| 2024 | EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability. | Adam Sulek, Jakub Jonczyk, Patryk Orzechowski, Ahmed Abdeen Hamed, Marek Wodzinski |
| 2024 | Exploring Apple Silicon's Potential from Simulation and Optimization Perspective. | Karol Struniawski, Aleksandra Konopka, Ryszard Kozera |
| 2024 | Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions. | Przemyslaw Stpiczynski |
| 2024 | Statistical Model Checking for Entanglement Swapping in Quantum Networks. | Anubhav Srivastava, M. V. Panduranga Rao |
| 2024 | Modeling 3D Surfaces with a Locally Conditioned Atlas. | Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur |
| 2024 | A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E | Vclav Skala |
| 2024 | S3LLM: Large-Scale Scientific Software Understanding with LLMs Using Source, Metadata, and Document. | Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng |
| 2024 | Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic Data. | Hina Shaheen, Roderick Melnik |