1.4k citations
- Polish Academy of SciencesPL70 papers
- Warsaw University of TechnologyPL25 papers
- AGH University of KrakowPL13 papers
- RIKENJP13 papers
- RIKEN Center for Brain ScienceJP12 papers
- Nicolaus Copernicus Astronomical CenterPL10 papers
- University of WarsawPL9 papers
- Universitat de les Illes BalearsES8 papers
- University of AlbertaCA8 papers
- King Abdulaziz UniversitySA6 papers
- Seoul National UniversityKR6 papers
- Deakin UniversityAU4 papers
92 papers
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Xinxin Zhao, Jinpeng Ye, Bo Wei +8
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…
Auto Quantum Machine Learning for Multisource Classification
Tomasz Rybotycki, Sebastian Dziura, Piotr Gawron
With fault-tolerant quantum computing on the horizon, there is growing interest in applying quantum computational methods to data-intensive scientific fields like remote sensing. Q…
Characterization and cancellation of power-line-induced motional-mode frequency noise in a trapped-ion system
Jaehun You, Jiyong Kang, Kyunghye Kim +2
The stability of motional-mode frequency is essential for realizing high-fidelity quantum gates in trapped-ion quantum computing. While broadband Gaussian noise has been extensivel…
Multivariate Time series Anomaly Detection:A Framework of Hidden Markov Models
Jinbo Li, Witold Pedrycz, Iqbal Jamal
In this study, we develop an approach to multivariate time series anomaly detection focused on the transformation of multivariate time series to univariate time series. Several tra…
Proxy Reconstruction Pre-training for Ramp Flow Prediction at Highway Interchanges
Yongchao Li, Jun Chen, Zhuoxuan Li +4
Interchanges are crucial nodes for vehicle transfers between highways, yet the lack of real-time ramp detectors creates blind spots in traffic prediction. To address this, we propo…
Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics
Piotr Urbańczyk, Aleksandra Urbańczyk, Magdalena Król +2
The goal of this paper is twofold. First, it explores hybrid evolutionary-swarm metaheuristics that combine the features of PSO and GA in a sequential, parallel and consecutive man…