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Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-series analysis properties of a Hidden Markov Model (HMM).
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices
The increasing spread of artificial neural networks does not stop at ultralow-power edge devices.
Behavior of Keyword Spotting Networks Under Noisy Conditions
Keyword spotting (KWS) is becoming a ubiquitous need with the advancement in artificial intelligence and smart devices.
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