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Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
UUV teams, control from a biological perspective
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine