In cybersecurity, the most effective professionals will treat AI as a tool to enhance their thinking, not replace it.
Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...
Abstract: Human-machine interfaces (HMIs) face several challenges that hinder their long-term performance and adaptability, such as severe overfitting of machine learning models due to limited ...
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 ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
It is a mix of MIT and the official DINOv3 License. All the codebase in this repository are completely open and can be used for research, education, and commercial purposes freely. The models trained ...
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