Large language models (LLMs), such as OpenAI's GPT-3.5, have gained significant attention
for their potential applications in various fields, including mental health care. In this study, …

… ics and molecular medicine. In addition, AI can facilitate precision medicine with integration
of … typically discovered directly or through interaction algorithms.AI techniques could also be …

… Current machine learning algorithms have been used in many applications, such as text …
, medical diagnosis, recommendation systems, robots, etc. These learning algorithms can be …

… search method, so as to achieve system fairness and enhance user satisfaction. Simulation
experi… algorithms. Keywords: edge computing, trust model, fairness, resource allocation …

… (2) Accuracy and reproducibility: In some cases, especially when the data is similar to
medical images, the accuracy of AI algorithms may be compromised. This problem may lead to …

… the fairness guarantee quantitatively through probabilistic model checking. E-fairness is …
the appropriate property specified in the probabilistic computation tree logic. Furthermore, our …

… proportional fairness largely. On the contrary, the maximization of the proportional fairness
will reduce the SRS substantially. Thus, we propose a novel power allocation algorithm in the …

… Some datasets are too large for algorithms like PSA and MVE, and thus we randomly …
dimensionality reduction algorithms further to embed the datasets into a very-low dimension. …

… In this thesis, we seek computational design support methods for parameter … algorithms
using crowdsourced human computation (which they call human computation algorithms). See …

… and other algorithms, LRUNet has not only assured the improvement of accuracy, but also
greatly reduced the consumption of computational parameters and computational costs in the …