Abstract: Hyperspectral unmixing is significant for advancing remote sensing (RS) applications, aiming at extracting the spectra of pure materials (called endmembers) and obtaining their proportions ...
Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...
# load MNIST dataset and scale the pixel values to the range of [0, 1] print("[INFO] loading MNIST dataset...") (trainX, trainY), (testX, testY) = mnist.load_data() trainX = trainX / 255.0 testX = ...
AI-driven system to optimize ambulance placement using Deep Embedded Clustering and Cat2Vec. Analyzes real-world accident, road, and weather data to reduce emergency response time and improve public ...
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