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4 days ago · ... using methods such as genetic algorithms, particle swarm optimization, (...) and simulated annealing. By focusing on both resource utilization and SLA ...
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2 days ago · This Viewpoint provides a concise overview of recent efforts where machine learning methods (particle swarm optimization, Bayesian optimization, and generative ...
3 days ago · By integrating sine-cosine strategies and Cauchy mutation, SCSSA can explore the solution space more effectively and converge rapidly to the optimal solution.
2 days ago · cNrGA with constant memory outperforms the real-coded GA and standard particle swarm optimisation. In contrast to NrGA, BSPGA [34] uses the known ...
6 days ago · Best-of Machine Learning with Python. A ranked list of awesome machine learning Python libraries. Updated weekly.
5 days ago · In machine learning, a neural network is a model inspired by the structure and function of biological neural networks in animal brains.
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11 hours ago · This study presents a new approach for diagnosing brain tumors in MRI scans using deep learning, focusing on Residual/Shuffle Networks. The designed network ...
6 days ago · In this work, we will review the recent computation-driven discoveries of hydride superconductors with an eye to the emerging paradigm of materials informatics, ...
5 days ago · Evaluation of Gpu Acceleration on the Rainfall-Runoff-Inundation ... and Particle Swarm Optimization Approach with Integrated Machine Learning Algorithms.
Missing: Portfolio | Show results with:Portfolio
6 days ago · • Experience with CUDA programming and GPU performance optimization ... Managers to identify and secure business opportunities for NVIDIA ...