To overcome these limitations and enhance the accuracy of AVFIFD, we propose the convolution and cross-fusion transformer (CCFT), which combines convolution and transformers to enhance local and ...

Researchers in China have created a dataset of various PV faults and normalised it to accommodate different array sizes and ...

Convolution Neural Networks (CNNs) have excelled at image categorization, and their use in medical imaging could change illness diagnosis. This study examines CNN's medical picture categorization ...

Machines have come a long way in seeing and understanding images, but they still don’t see quite like humans do. A new ...

Today Danny unboxes the T238 V2 Large Capacity Grenade Toy with Time-delayed Function for Gel Ball BBs Airsoft Wargame - Grey ...

The New Bedford Art Walk is back for its 12th year, featuring art around acts of resistance, transformation and efforts of ...

A new semi-supervised audio analysis model leveraging bi-path feature extraction and attention mechanisms boosts sound event detection accuracy by 12.7% (PSDS1 0.489, PSDS2 0.771), enabling smarter ...

Fiber optics are a reliable medium for sensing and transmission, but processing these optical data requires switching to the electrical domain, which introduces large latency and thermal footprints.

Understand the process of convolution and its applications in blurring and sharpening images using two-dimensional filters.

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...