Publications by authors named "Amir Massoud Bidgoli"
Effective and efficient routing is one of the most important parts of routing in NoC-based neuromorphic systems. In fact, this communication structure connects different units through the packets routed by routers and switches embedded in the network on a chip. With the help of this capability, not only high scalability and high development can be created, but by decreasing the global wiring to the chip level, power consumption can be reduced.
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- The goal of the Recommender System (RS) is to closely align with user preferences, with data clustering playing a key role in enhancing proposal accuracy.
- A single-objective hybrid evolutionary approach is introduced in this paper, combining Genetic Algorithm (GA) and Gravitational Emulation Local Search (GELS) to optimize item clustering in offline collaborative filtering.
- Simulation results demonstrate that while this hybrid method may take longer to run, it significantly improves clustering quality, leading to better performance on key error metrics like Mean Absolute Error (MAE) and Root Mean Square Error (RMSE).