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ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...
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Steepest hill scooter challenge!
Josh Krueger takes on America's steepest hill with an electric scooter! Watch as he braves the dangerous descent. Always wear safety gear! Judge strikes down Republican congressional district in New ...
Abstract: Dynamic optimization problems involving discrete decisions have several applications, yet lead to challenging optimization problems that must be addressed efficiently. Combining discrete ...
Abstract: Different optimization approaches are explored to solve unconstrained minimization problems numerically in this paper. A classic optimization problem i.e., the Rosenbrock function is ...
Department of Mechanical Engineering, University of Cape Town, Cape Town, South Africa This paper presents the exergy analysis and optimization of the Stirling engine, which has enormous potential for ...
A big part of AI and Deep Learning these days is the tuning/optimizing of the algorithms for speed and accuracy. Much of today’s deep learning algorithms involve the use of the gradient descent ...
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