Abstract: The Booth algorithm is widely used for efficient signed multiplication due to its ability to reduce partial products. A higher radix Booth multiplier generates fewer partial products, while ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

This project simulates the Selective Repeat (SR) flow control protocol in a network environment using C#.

Responsive Sidebar: Slide-out drawer on mobile with backdrop dimming and "click-to-close" logic. Global Toggle: Decoupled sidebar toggle button located in the global header. Pinch-to-Zoom: Native-like ...

This study investigates the impact of neuron models and encoding schemes on the performance of spiking neural networks trained using the NeuroEvolution of Augmenting Topologies (NEAT) algorithm. By ...