Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered encoder–decoder neural network designed to ...

This paper proposes a novel algorithm, named a quasi-neural network-based decoder (QNN-decoder), for a single-carrier communication system. The algorithm is designed for an inter-symbol-interference ...

Daniel, G.V., Chandrasekaran, K., Meenakshi, V. and Paneer, P. (2023) Robust Graph Neural-Network-Based Encoder for Node and Edge Deep Anomaly Detection on Attributed ...

Solubility prediction is crucial for drug development and materials science, yet existing models struggle with generalizability across diverse solvents and temperatures. This study develops a novel ...