IEEE

Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs

Abstract: Spiking neural networks (SNNs) have garnered interest due to their energy efficiency and superior effectiveness on neuromorphic chips compared with traditional artificial neural networks ...
IEEE

A Low-Discrepancy and Latency-Aware, Scenario-Sensitive Resource Allocation Approach for Cloud Systems Using Latin Square-Based Improvised Genetic Optimization (LSBGO)

Abstract: Efficient resource allocation in cloud networks is a complex challenge, demanding adaptive strategies to sustain processing millions of tasks whose CPU, memory, and priority profiles changes ...