Accurately ranking the vast number of candidate detections is crucial for dense object detectors to achieve high performance. Prior work uses the classification score or a combination of ...

Structure-function coupling (SC-FC coupling) refers to the correlation between the physical layout of structural connectivity (SC) in the brain and the activity patterns of functional connectivity (FC ...

Preprocessor-based software product lines (SPLs) are used to deal with evolution in space, in which features (so-called configuration options)—annotated in source code with #ifdefs—are included, ...

Contemporary multi-modal trackers achieve strong performance by leveraging complex backbones and fusion strategies, but this comes at the cost of computational efficiency, limiting their deployment in ...

The transport sector has experienced a boom in electric mobility over the past decade as it moves towards a more sustainable future associated with the Sustainable Development Goals (SDGs). This paper ...

An alternative version of TLVR, named Zero Bias TLVR, has been proposed in recent years. This new topology employs magnetic flux cancellation in all windings, thus enabling a much lower saturation ...

Artificial Intelligence (AI) is an emerging technological field with immense transformative potential. Within this context, we discuss the diverse ways AI is transforming innovation. We introduce a ...

Recently, Transformer networks have demonstrated outstanding performance in the field of image restoration due to the global receptive field and adaptability to input. However, the quadratic ...

Image fusion integrates a series of images acquired from different sensors, e.g., infrared and visible, outputting an image with richer information than either one. Traditional and recent deep-based ...

Underwater imaging is often affected by light attenuation and scattering in water, leading to degraded visual quality, such as color distortion, reduced contrast, and noise. Existing underwater image ...

Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper aims to ...

Motorimagery EEG classification plays a crucial role in non-invasive Brain-Computer Interface (BCI) research. However, the performance of classification is affected by the non-stationarity and ...