Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.

After completing a Master’s degree in biomedical engineering in Japan, Pelonomi Moiloa returned to South Africa to launch ...

Moiloa co-founded Lelapa AI in December 2022 alongside Jade Abbott. The Johannesburg-based research and product lab has since ...

Abstract: Convolutional code synchronization and scrambling recognition in underwater acoustic communication is commonly based on the product characteristics of dual ...

Abstract: Convolutional Sparse Coding computes a sparse representation for an entire image by modeling the signal as a sum of several convolutions of dictionary filters and sparse feature maps, ...

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...

input_file1 = r"D:\Marine\Project\Synthetic Data\Convolution\Test data_DRK\Test data_DRK\Large and Small mount_New\MarsModel3TwoMountainsFar_3Gra_Bouguer_Coord_m.grd" input_file2 = r"D:\Marine\Project ...

This is a Python implementation of the convolution-based inverse modeling method described in: Braitenberg, C., Ebbing, J., & Götze, H.-J. (2002). Inverse modelling of elastic thickness by convolution ...