For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.
Abstract: Human Activity Recognization (HAR), which focuses mostly on behavioral patterns, security, and health monitoring, is one of the crucial fields of machine learning. The focus is on detecting ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
Background: Rapid urbanization in China has significantly reshaped the human settlement environment (HSE), bringing opportunities and challenges for public health. While existing studies have explored ...
An Interpretable Ensemble Fuzzy Classifier for Smartphone Sensor-Based Human Activity Classification
Abstract: Smartphone sensor-based human activity recognition (SSHAR) generally deals with three main steps: 1) raw signal collection; 2) feature extraction; and 3) human activity classification. This ...
This documentation assumes basic familiarity with Bittensor concepts. For an introduction, please check out the docs: https://docs.bittensor.com/learn/bittensor ...
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