Xmecap: Meme caption generation with sub-image adaptability
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge
for machines. While advances have been made in natural language processing, real-world …
for machines. While advances have been made in natural language processing, real-world …
Image-driven prediction system: Automatic extraction of aggregate gradation of pavement core samples integrating deep learning and interactive image processing …
Aggregate gradation plays a crucial role in determining the asphalt pavement performance,
necessitating assessment post-construction. Additionally, efficient gradation measurement is …
necessitating assessment post-construction. Additionally, efficient gradation measurement is …
Credit card fraud detection using advanced transformer model
With the proliferation of various online and mobile payment systems, credit card fraud has
emerged as a significant threat to financial security. This study focuses on innovative …
emerged as a significant threat to financial security. This study focuses on innovative …
Advanced user credit risk prediction model using lightgbm, xgboost and tabnet with smoteenn
Bank credit risk is a significant challenge in modern financial transactions, and the ability to
identify qualified credit card holders among a large number of applicants is crucial for the …
identify qualified credit card holders among a large number of applicants is crucial for the …
Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach
H Ni, S Meng, X Chen, Z Zhao, A Chen… - … Conference on Data …, 2024 - ieeexplore.ieee.org
Accurate stock market predictions following earnings reports are crucial for investors.
Traditional methods, particularly classical machine learning models, struggle with these …
Traditional methods, particularly classical machine learning models, struggle with these …
[HTML][HTML] A hybrid stacking model for enhanced short-term load forecasting
The high penetration of distributed energy resources poses significant challenges to the
dispatch and operation of power systems. Improving the accuracy of short-term load …
dispatch and operation of power systems. Improving the accuracy of short-term load …
A comparative study on enhancing prediction in social network advertisement through data augmentation
Q Yang, P Li, X Xu, Z Ding, W Zhou… - 2024 4th International …, 2024 - ieeexplore.ieee.org
In the ever-evolving landscape of social network advertising, the volume and accuracy of
data play a critical role in the performance of predictive models. However, the development …
data play a critical role in the performance of predictive models. However, the development …
Advanced stock price prediction with xlstm-based models: Improving long-term forecasting
X Fan, C Tao, J Zhao - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Stock price prediction has long been a critical area of research in financial modeling. The
inherent complexity of financial markets, characterized by both short-term fluctuations and …
inherent complexity of financial markets, characterized by both short-term fluctuations and …
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 …
Evaluating modern approaches in 3d scene reconstruction: Nerf vs gaussian-based methods
Exploring the capabilities of Neural Radiance Fields (NeRF) and Gaussian-based methods
in the context of 3D scene reconstruction, this study contrasts these modern approaches with …
in the context of 3D scene reconstruction, this study contrasts these modern approaches with …