Accurate modeling of microwave structures in constrained domains using global sensitivity analysis and performance-based pre-screening. [PDF]
Koziel S, Pietrenko-Dabrowska A.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Cost-efficient variable-fidelity machine learning for globalized optimization of microwave structures. [PDF]
Koziel S +2 more
europepmc +1 more source
An Innovative Approach to Multi‐Valued Logic
The current generation of computer systems operates on the principles of binary logic, which encompasses both logical and arithmetic operations. However, silicon technology has reached its peak performance, prompting researchers to explore alternative methods for enhancing computational efficiency. One such method is the adoption of Multi‐Valued Logic (
Ali Mokhtari, Peyman Kabiri
wiley +1 more source
Kinetic inductance of few-layer NbSe<sub>2</sub> in the two-dimensional limit. [PDF]
Zaman S +21 more
europepmc +1 more source
This paper proposes a decentralized electric vehicle (EV) charging control method designed to clear voltage violations in distribution grids with high EV penetration, while considering consumer convenience. The concentration of EV charging demand can cause localized voltage violations, posing a significant challenge to grid operation.
Takafumi Watanabe +7 more
wiley +1 more source
Broadband encoding and high-speed probabilistic bit generation with integrated microwave neurons. [PDF]
Govind B, Raigoza P, Apsel A.
europepmc +1 more source
A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley +1 more source
Spin-photon qubits for scalable quantum network. [PDF]
Islam MS +4 more
europepmc +1 more source
Reinforcement Learning-Based Optimization of Ku-Band Low-Noise Amplifier. [PDF]
Chung J +6 more
europepmc +1 more source

