Large language models for forecasting and anomaly detection: A systematic literature review

J Su, C Jiang, X Jin, Y Qiao, T Xiao, H Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

News recommendation with attention mechanism

T Liu, C Xu, Y Qiao, C Jiang, W Chen - arXiv preprint arXiv:2402.07422, 2024 - arxiv.org
This paper explores the area of news recommendation, a key component of online
information sharing. Initially, we provide a clear introduction to news recommendation …

Particle filter slam for vehicle localization

T Liu, C Xu, Y Qiao, C Jiang, J Yu - arXiv preprint arXiv:2402.07429, 2024 - arxiv.org
Simultaneous Localization and Mapping (SLAM) presents a formidable challenge in
robotics, involving the dynamic construction of a map while concurrently determining the …

Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection

Z Li, H Zhu, H Liu, J Song, Q Cheng - arXiv preprint arXiv:2403.02232, 2024 - arxiv.org
This study conducts a thorough examination of malware detection using machine learning
techniques, focusing on the evaluation of various classification models using the Mal-API …

Utilizing Machine Learning for Precise Audience Targeting in Data Science and Targeted Advertising

H Ji, X Xu, G Su, J Wang, Y Wang - Academic Journal of Science and …, 2024 - drpress.org
In the current era of technology, big data has become increasingly accurate in
understanding individuals' interests and needs. Personalized advertising recommendations …

Unveiling the future navigating next-generation ai frontiers and innovations in application

G Wang, Y Gong, M Zhu, J Yuan, K Wei - International Journal of …, 2023 - wepub.org
As a representative of the information revolution, the Internet began in the 1960s when
ARPANET was born, and after decades of development and evolution, today it has formed a …

Utilizing AI-Enhanced Multi-Omics Integration for Predictive Modeling of Disease Susceptibility in Functional Phenotypes

Y Zhou, X Shen, Z He, H Weng… - Journal of Theory and …, 2024 - centuryscipub.com
With the continuous development of machine learning technology, the scientific research of
biomedical materials is gradually shifting to a data-driven direction. The rise of this trend …

Machine Learning-Based Medical Imaging Detection and Diagnostic Assistance

Q Zeng, W Sun, J Xu, W Wan, L Pan - International Journal of Computer …, 2024 - wepub.org
With the development of medical technology, medical imaging technology plays an
increasingly important role in diagnosing and monitoring diseases. At the same time …

Exploring new frontiers of deep learning in legal practice: A case study of large language models

Y Wang, W Qian, H Zhou, J Chen, K Tan - International Journal of …, 2023 - wepub.org
The LLM wave brought by ChatGPT has swept various vertical fields. Medical, finance,
finance and other fields have gradually had their own exclusive large models, such as …

Case Study of Next-Generation Artificial Intelligence in Medical Image Diagnosis Based on Cloud Computing

J Wu, H Wang, C Ni, C Zhang… - Journal of Theory and …, 2024 - centuryscipub.com
Cloud computing technology is a computing model based on the Internet, which can provide
elastic, scalable, reliable and secure computing, storage and network resources to meet the …