IEEE

Dataset Pruning: Optimizing Image Datasets with a Cross-Validation Method

In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...
GitHub

MCPToolBench++: AI Agent MCP Model Context Protocol MCP Tool Use Benchmark

MCPToolBench++ is a large-scale, multi-domain AI Agent Tool Use Benchmark. As of July 2025, this benchmark includes over 4k+ MCP Servers from more than 45 categories collected from the MCP and GitHub ...
Journal of Medical Internet Research

Methods for Analytical Validation of Novel Digital Clinical Measures: Implementation Feasibility Evaluation Using Real-World Datasets

However, choosing appropriate statistical methodology when conducting analytical validation (AV) of a DM is complicated, particularly for novel DMs, for which appropriate, established reference ...
IEEE

Practical Physical Layer Authentication for Mobile Scenarios Using a Synthetic Dataset Enhanced Deep Learning Approach

Abstract: The Internet of Things (IoT) is ubiquitous thanks to the rapid development of wireless technologies. However, the broadcast nature of wireless transmissions results in great vulnerability to ...
GitHub

Imager: A Selenium-Based Image Scraping Utility

Imager is a specialized utility developed to automate the manual bottleneck of gathering image datasets. Unlike traditional scraping methods that struggle with JavaScript-heavy sites, Imager leverages ...