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Table of contents:
Quasi-Newton Optimization Methods for Deep Learning Applications
Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders
Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision
Action Recognition in Videos Using Multi-stream Convolutional Neural Networks
Deep Active Learning for Image Regression
Deep Learning Based Hazard Label Object Detection for Lithium-ion Batteries Using Synthetic and Real Data
Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning A
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