As equity markets whipsaw around trade and geopolitical uncertainty, investors are looking for long-term opportunities in bonds and using active fixed income ETFs to access them. PIMCO head of ...

Wood, a widely distributed renewable resource, plays a vital role in accelerating urbanisation. However, wood grain defects pose significant safety hazards. Detecting these defects is challenging due ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...

We have implemented a hardware-accelerated image filtering system using a ZedBoard Zynq-7000. It supports five image filtering namely- Box Blur, Edge Detection, Unsharp Masking, High Pass Filter and ...

Abstract: This paper gives insight about the implementation of brain tumor detection through deep learning using convolution neural networks (CNN). It deeply explain each and every steps needed to ...

Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...

This includes 4 edge detection methods: Sobel, Prewitt, Laplace and Canny built using algorithms. The report contains the results of methods and comparisons.