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Explores control and sensitivity analysis of an Atomic Force Microscope, emphasizing the importance of high gain for reducing sensitivity at resonance.
Covers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.
Explores the design and operation principles of thresholds and weirs in rivers, emphasizing their relevance and impact on river protection and management.
