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Found 7 papers, 0 papers with code
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
This paper introduces a deep learning-based prediction method for autonomous driving lane change behavior, aiming to facilitate safe lane changes and thereby improve road safety.
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research
In recent years, advancements in natural language processing (NLP) have been fueled by deep learning techniques, particularly through the utilization of powerful computing resources like GPUs and TPUs.
Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
With the rapid development of artificial intelligence technology, Transformer structural pre-training model has become an important tool for large language model (LLM) tasks.
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
Anomaly detection is a critical challenge across various research domains, aiming to identify instances that deviate from normal data distributions.
Utilizing Deep Learning for Enhancing Network Resilience in Finance
In the age of the Internet, people's lives are increasingly dependent on today's network technology.
Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization
Nevertheless, for the dialogue summarization task, which aims to generate summaries for different roles in dialogue, most of the state-of-the-art methods conduct on small models (e. g Bart and Bert).
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images
Highly clumped nuclei clusters captured in fluorescence in situ hybridization microscopy images are common histology entities under investigations in a wide spectrum of tissue-related biomedical investigations.
