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An Automated Machine Learning Approach to Inkjet Printed Component Analysis: A Step Toward Smart Additive Manufacturing
In this paper, we present a machine learning based architecture for microwave characterization of inkjet printed components on flexible substrates.
LSTM-CNN Network for Audio Signature Analysis in Noisy Environments
There are multiple applications to automatically count people and specify their gender at work, exhibitions, malls, sales, and industrial usage.
TLU-Net: A Deep Learning Approach for Automatic Steel Surface Defect Detection
We also found the gain of transfer learning increases as the training data decreases, and the convergence rate with transfer learning is better than that of the random initialization.
IVACS: Intelligent Voice Assistant for Coronavirus Disease (COVID-19) Self-Assessment
One of the popular critical steps various health organizations are advocating to prevent the spread of this contagious disease is self-assessment of symptoms.
Computers and Society Human-Computer Interaction
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
Therefore, we introduced a voice-based SA to augment the training process of medical first responders and enhance their performance in the field.
Common Metrics to Benchmark Human-Machine Teams (HMT): A Review
Accurately and effectively measuring system performance of an HMT is crucial for moving the design of these systems forward.
