Text-based depression estimation using natural language processing has emerged as a feasible approach for early mental health screening. However, most existing reviews often included studies with weak ...

This study focuses on the intertidal wind farm in Rudong, Jiangsu Province, and aims to enhance the accuracy of marine stratum classification using cone penetration test (CPT) technology. In situ CPT ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...

A large-scale randomized trial of texting therapy concluded that its outcomes were as good as video sessions in treating depression. By Ellen Barry One of the most popular mental health innovations of ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

If you use Threads, you’ve probably seen topic tags, which users can add to posts when they want to reach more people interested in that same subject. Today, Meta is combining topic tags with its ...

Abstract: Acne is a common dermatological condition affecting adolescents and adults, with severity ranging from mild to very severe. Accurate severity classification is crucial for effective ...

🎛️ Real-Time ML in Unity. RTML Tool Kit is a lightweight, OSC-controllable machine learning framework for Unity, supporting Linear Regression, KNN, and DTW — designed for Mixed Reality and mobile ...