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 ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

Abstract: Code smell represents critical design anomalies that significantly impact software maintainability and quality. This paper presents a comprehensive framework using Graph Convolutional ...

Abstract: Carrier frequency offset, Doppler shift, and phase noise degrade the orthogonality of subcarriers in Orthogonal Frequency Division Multiplexing (OFDM) systems, leading to inter-carrier ...

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 ...