Harnessing llms for api interactions: A framework for classification and synthetic data generation
As Large Language Models (LLMs) advance in natural language processing, there is
growing interest in leveraging their capabilities to simplify software interactions. In this …
growing interest in leveraging their capabilities to simplify software interactions. In this …
Dral: Deep reinforcement adaptive learning for multi-uavs navigation in unknown indoor environment
Autonomous indoor navigation of UAVs presents numerous challenges, primarily due to the
limited precision of GPS in enclosed environments. Additionally, UAVs' limited capacity to …
limited precision of GPS in enclosed environments. Additionally, UAVs' limited capacity to …
Ar overlay: Training image pose estimation on curved surface in a synthetic way
In the field of spatial computing, one of the most essential tasks is the pose estimation of 3D
objects. While rigid transformations of arbitrary 3D objects are relatively hard to detect due to …
objects. While rigid transformations of arbitrary 3D objects are relatively hard to detect due to …
Trajectory tracking using frenet coordinates with deep deterministic policy gradient
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 …
proposes a trajectorytracking control method combined with Frenet coordinate system. By …
DisplayFab: The State of the Art and a Roadmap in the Personal Fabrication of Free-Form Displays Using Active Materials and Additive Manufacturing.
Over recent years, there has been significant research within HCI towards free-form physical
interactive devices. However, such devices are not straightforward to design, produce and …
interactive devices. However, such devices are not straightforward to design, produce and …
Enhanced credit score prediction using ensemble deep learning model
Q Xing, C Yu, S Huang, Q Zheng, X Mu… - arXiv preprint arXiv …, 2024 - arxiv.org
In contemporary economic society, credit scores are crucial for every participant. A robust
credit evaluation system is essential for the profitability of core businesses such as credit …
credit evaluation system is essential for the profitability of core businesses such as credit …
Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning
Solar trajectory monitoring is a pivotal challenge in solar energy systems, underpinning
applications such as autonomous energy harvesting and environmental sensing. A …
applications such as autonomous energy harvesting and environmental sensing. A …
A Comparative Study of Machine Learning Approaches for Diabetes Risk Prediction: Insights from SHAP and Feature Importance
Z Liu, Q Zhang, H Zheng, S Chen… - 2024 5th International …, 2024 - ieeexplore.ieee.org
This study leverages machine learning models, including Logistic Regression, XGBoost,
and Random Forest, to predict diabetes using BRFSS data. XGBoost emerged as the …
and Random Forest, to predict diabetes using BRFSS data. XGBoost emerged as the …
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation
Deep Reinforcement Learning has shown excellent performance in generating efficient
solutions for complex tasks. However, its efficacy is often limited by static training modes and …
solutions for complex tasks. However, its efficacy is often limited by static training modes and …
Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction
D Chen - arXiv preprint arXiv:2410.11903, 2024 - arxiv.org
Low-dose computed tomography (LDCT) aims to minimize the radiation exposure to patients
while maintaining diagnostic image quality. However, traditional CT reconstruction …
while maintaining diagnostic image quality. However, traditional CT reconstruction …