Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …

We design experiments to study $\textit {how} $ generative language models, like GPT, learn
context-free grammars (CFGs)--diverse language systems with a tree-like structure capturing …

Fine-tuning large pre-trained models has become the de facto strategy for developing both
task-specific and general-purpose machine learning systems, including developing models …

In today's era, one of the important applications of Artificial Intelligence (AI) is Human Activity
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …

The daily reference evapotranspiration (ET o) must be accurately forecasted to improve real-
time irrigation scheduling and decision-making for water resources allocation. In this study …

Motivation Biological experimental approaches to protein–protein interaction (PPI) site
prediction are critical for understanding the mechanisms of biochemical processes but are …

When tracking maneuvering targets, recurrent neural networks (RNNs), especially long short-
term memory (LSTM) networks, are widely applied to sequentially capture the motion states …

Energy consumption in buildings increases with the failures of equipment involved in the
energy exchange, and control networks in buildings. One of the ways to remedy this issue is …

User embeddings (vectorized representations of a user) are essential in recommendation
systems. Numerous approaches have been proposed to construct a representation for the …

Over the past decade, Artificial Intelligence (AI) has had great success recently and is being
used in a wide range of academic and industrial fields. More recently, Large Language …