Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

Running on little sleep may be slowing your brain. A new study reveals how sleep loss damages brain wiring, delays signals ...

Abstract: Retinal diseases like Diabetic Retinopathy, Age-related Macular Degeneration (AMD), and Glaucoma are leading causes of vision loss globally. Early detection is crucial to prevent severe ...

Abstract: The Controller Area Network (CAN) bus plays a key role in keeping vehicles safe by enabling critical systems to communicate with each other. However, because it does not have its own ...

Legally speaking, the federal charges against journalists Don Lemon and Georgia Fort are complex and unusual, sparking debate among lawyers about the legitimacy of the cases.

Abstract: In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make ...

Abstract: Selecting targets to attack and assigning weapons are among the most critical decisions on the battlefield. The decision problem is represented as a dynamic weapon-target assignment (DWTA) ...

Veritas.AI is designed to advance the functionality of Spectrum Dynamics’ VERITON-CT scanner for nuclear imaging.

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...

The tech has helped cut teachers' workload by up to 50 percent, and let educators focus on real teaching instead of endless ...