Both machine learning and deep learning AI models show significant improvements over existing clinical criteria of food allergy diagnostics, according to new research being presented at the 2026 AAAAI ...
Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...
Breast tumor segmentation in ultrasound imaging is critical for early diagnosis and treatment planning. However, precise breast tumor segmentation still remains challenging, mainly due to varying ...
Pulse density modulation (PDM) is a compact digital audio format used in devices like MEMS microphones and embedded systems. This compact primer eases you into the essentials of PDM audio. Let’s begin ...
Doing more with less in electronics often means improving power density. One of the new areas garnering attention involves applying a variety of advanced modulation techniques, including PWM and space ...
van Vliet and colleagues show a useful correlation between internal states of a convolutional neural network (CNN) trained on visual word stimuli with three specific components of evoked MEG ...
van Vliet and colleagues show a correlation between internal states of a convolutional neural network (CNN) trained on visual word stimuli with three specific components of evoked MEG potentials ...
Background: Sleep plays a vital role in our overall health and well-being. However, many individuals suffer from sleep disorders or face challenges with the quality and duration of their sleep. This ...
Abstract: The transmission characterized by ultra reliable and low latency requirements presents a significant challenge in the future networks, leading to an increasing interest in powerful short ...
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