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Kids raised in the 60s & 70s had 9 common sense traits that are almost impossible to find nowadays

While there are plenty of parenting styles and childhood memories from the 60s and 70s that are largely controversial today, compared to the screens and "gentle" parents today, it's a nuanced ...
The New York Times

Learning football from video games now a legit teaching method for coaches, athletes

Video game controllers past and present have assisted in young athletes learning the ins and outs of the game of football. Jasen Vinlove / USA Today When David Pollack was a standout defender at the ...
Scientific Research Publishing

Yin, Y.J., Feng, G.C., Bai, R.T., Lu, Q., Liu, C. and Wei, Z.Y. (2023) Study on Flow Field Classification Method Based on Unsupervised Machine Learning: A Case Study of ...

ABSTRACT: Aiming at the problems of well-developed dominant seepage channels, prominent viscous fingering phenomenon, complex dynamic evolution of flow fields, and difficulty in fine characterization ...
Frontiers

OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints

Quantifying natural behavior from video recordings is a key component in ethological studies. Markerless pose estimation methods have provided an important step toward that goal by automatically ...
Frontiers

Identifying key features for determining the patterns of patients with functional dyspepsia using machine learning

The SVM identified loss of appetite, flank discomfort, abdominal bloating or gurgling, and pale or yellowish complexion as the most discriminative features. Unsupervised clustering revealed four ...
Scientific Research Publishing

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications ()

The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
IEEE

Neural Architecture Search for Unsupervised PET Image Denoising

Abstract: Unsupervised learning methods effectively reduce the noise level of positron emission tomography (PET) images with limited training data. Recent research indicates that the performance of ...