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IEEE10d
Competitive learning algorithms and neurocomputer architecture
Abstract: This paper begins with an overview of several competitive learning algorithms in artificial neural networks ... Finally, we report a reconfigurable parallel neurocomputer architecture we ...
IEEE16d
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
Abstract: The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL ... To address this ...
Frontiers17d
Enhancing Sustainable Urban Design Using Machine Learning: Comparative Analysis of Seven Metaheuristic Algorithms in Energy-Efficient Digital Architecture
The final, formatted version of the article will be published soon. Metaheuristics optimization algorithms used in this research include PSO, ACO, GA, and SA and represent effective approaches toward ...