Journal of advances in information science and technology
Volume 1, Issue 1, December 2023
1.
Semantic Draw Engineering for Text-to-Image Creation
Yang Li, HuaQiang Jiang, YangKai Wu
Pages: 1 - 6
Text-to-image generation is conducted through Generative Adversarial Networks (GANs) or transformer models. However, the current challenge lies in accurately generating images based on textual descriptions, especially in scenarios where the content and theme of the target image are ambiguous. In this paper, we propose a method that utilizes artificial intelligence models for thematic creativity, followed by a classification modeling of the actual painting process. The method involves converting all visual elements into quantifiable data structures before creating images. We evaluate the effectiveness of this approach in terms of semantic accuracy, image reproducibility, and computational efficiency, in comparison with existing image generation algorithms.
2.
Application of AI in Nutrition
Ritu Ramakrishnan, Tianxiang Xing, Tianfeng Chen, MingHao Lee, Jinzhu Gao
Pages: 7 - 12
In healthcare, artificial intelligence (AI) has been
changing the way doctors and health experts take care of people.
This paper will cover how AI is making major changes in the
health care system, especially with nutrition. Various machine
learning and deep learning algorithms have been developed to
extract valuable information from healthcare data which help
doctors, nutritionists, and health experts to make better
decisions and make our lifestyle healthy. This paper provides an
overview of the current state of AI applications in healthcare
with a focus on the utilization of AI-driven recommender
systems in nutrition. It will discuss the positive outcomes and
challenges that arise when AI is used in this field. This paper
addresses the challenges to develop AI recommender systems in
healthcare, providing a well-rounded perspective on the
complexities. Real-world examples and research findings are
presented to underscore the tangible and significant impact AI
recommender systems have in the field of healthcare,
particularly in nutrition. The ongoing efforts of applying AI in
nutrition lay the groundwork for a future where personalized
recommendations play a pivotal role in guiding individuals
toward healthier lifestyles.