GitHub

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

We are excited to release the CapRL 2.0 series: CapRL-Qwen3VL-2B and CapRL-Qwen3VL-4B. These models feature fewer parameters while delivering even more powerful captioning performance. Notably, ...
IEEE

A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network ...

Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
IEEE

ANYA: A Noteworthy Youth Annotation Dataset for Machine Learning-Based Ergonomic Posture ...

Abstract: Adolescents in resource-limited schools are increasingly affected by ergonomic problems that arise from prolonged computer use and inadequate classroom equipment. Existing posture monitoring ...
GitHub

QQ767172261/Application-of-power-load-prediction-dataset-for-substation-using-machine ...

使用机器学习或深度学习方法进行电力负荷预测处理 变电站的电力负荷预测数据集的应用 33_11 KV 变电站电力负荷预测数据集(8000多数据+电压、电流功率因数、节日、温湿度等) @[toc] 以下文字及代码仅供参考学习使用。 数据集描述： 33_11 KV 变电站电力负荷预测 ...
Frontiers

Augmenting sparse spaceflight mass spectra datasets for machine learning applications

Figure 1. Relationship between artificial intelligence (AI), machine learning (ML), deep learning (DL), and data science and basic definitions. Figure 2. Representation of the Rosalind Franklin ...
chromatographyonline

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule ...

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...