IEEE

MRMH: Multi-Constraint Routing Optimization Using Hybrid Metaheuristics in Vehicular Ad-Hoc Networks

Abstract: Advancements in Vehicular Ad-Hoc Networks (VANETs) are crucial for the next generation of intelligent transportation systems. Addressing the complexities of routing and clustering in these ...
IEEE

Hybridizing Spiking Neural Networks and Federated Quantum Learning for Resource Optimization in Next-Gen 6G Architectures

Abstract: The call for 6G networks to evolve rapidly into ultra-low latency, high energy efficiency, and intelligent resource allocations is immediate. In this paper, we propose a Holographic Edge ...

Will AI‑Driven Modeling Breakthrough in Semiconductor Design Change Keysight Technologies' (KEYS) Narrative?

Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using ...