Comprehensive overview of artificial intelligence applications in modern industries

Y Weng, J Wu, T Kelly, W Johnson - arXiv preprint arXiv:2409.13059, 2024 - arxiv.org
Artificial Intelligence (AI) is fundamentally reshaping various industries by enhancing
decision-making processes, optimizing operations, and unlocking new opportunities for …

Advancing Automated Surveillance: Real-Time Detection of Crown-of-Thorns Starfish via YOLOv5 Deep Learning

G Xu, Y Xie, Y Luo, Y Yin, Z Li… - Journal of Theory and …, 2024 - centuryscipub.com
Abstract The Great Barrier Reef faces significant threats from crown-of-thorns starfish
(COTS), which consume coral polyps and contribute to reef degradation. Traditional …

[PDF][PDF] Enhancing gastrointestinal diagnostics with yolo-based deep learning techniques

Y Yang, Y Jin, Q Tian, Y Yang, W Qin, X Ke - 2024 - preprints.org
Gastrointestinal (GI) tract disorders, ranging from benign polyps to aggressive forms of
cancer, pose significant health challenges globally. Early detection and precise …

GPT-signal: Generative AI for semi-automated feature engineering in the alpha research process

Y Wang, J Zhao, Y Lawryshyn - arXiv preprint arXiv:2410.18448, 2024 - arxiv.org
In the trading process, financial signals often imply the time to buy and sell assets to
generate excess returns compared to a benchmark (eg, an index). Alpha is the portion of an …

Review of blockchain application with graph neural networks, graph convolutional networks and convolutional neural networks

A Ancelotti, C Liason - arXiv preprint arXiv:2410.00875, 2024 - arxiv.org
This paper reviews the applications of Graph Neural Networks (GNNs), Graph Convolutional
Networks (GCNs), and Convolutional Neural Networks (CNNs) in blockchain technology. As …

Ethical frontiers in artificial intelligence: navigating the complexities of bias, privacy, and accountability

Z Li - International Journal of Engineering and Management …, 2024 - indianjournals.com
The rapid advancement of artificial intelligence (AI) technologies has ushered in a new era
of innovation and efficiency, but it has also raised profound ethical questions that challenge …

Trajectory tracking using frenet coordinates with deep deterministic policy gradient

T Jiang, L Liu, J Jiang, T Zheng, Y Jin, K Xu - arXiv preprint arXiv …, 2024 - arxiv.org
This paper studies the application of the DDPG algorithm in trajectory-tracking tasks and
proposes a trajectorytracking control method combined with Frenet coordinate system. By …

A Novel Topic Segmentation Approach for Enhanced Dialogue Summarization

Z Ren - 2024 - adwenpub.com
Dialogue summarization aims to distill a given conversation into a brief and focused
summary. The challenge lies in the diverse perspectives of participants and the frequent …

Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models

H Yang, M Sui, S Liu, X Qian, Z Zhang, B Liu - arXiv preprint arXiv …, 2024 - arxiv.org
With the rapid development of natural language processing technology, large language
models have demonstrated exceptional performance in various application scenarios …

Knowledge Graph Embedding and Few-Shot Relational Learning Methods for Digital Assets in USA

Z Li, B Wang, Y Chen - Journal of Industrial Engineering and Applied …, 2024 - suaspress.org
In this paper, we explore the application of Knowledge Graph Embedding (KGE) techniques
and Few-Shot Relational Learning (FSL) methods to the domain of digital assets, particularly …