InfoWorld

AI-augmented data quality engineering

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
EDN

Designing edge AI for industrial applications

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
GitHub

forest-fire-dataset-and-preprocessing-guide

A real-time deep learning system powered by YOLOv8 for accurate fire and smoke detection across images, videos, and live webcam feeds. The system issues instant Telegram alerts when fire confidence ...
Frontiers

An optimized transfer learning approach integrating deep convolutional feature extractors for malaria parasite classification in erythrocyte microscopy

Background: Malaria, caused by Plasmodium parasites transmitted through bites from infected female Anopheles mosquitoes, results in severe symptoms such as anemia and potential organ failure. The high ...
GitHub

Motion Denoising HumanEva dataset preprocessing

Hi, I'm trying to replicate the results of Table 3. The README states: Split the HumanEva part of the AMASS dataset into fragments using this script: Do you use the raw HumanEva dataset, and split it ...
Scientific Research Publishing

Garcia, S., Parmisano, A. and Erquiaga, M.J. (2020) IoT-23: A Labeled Dataset with Malicious and Benign IoT Network Traffic. Zenodo.

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...
The New York Times

The Discount Data That Some Colleges Still Won’t Publish

The Common Data Set can help prospective students know how much aid they could get to pay for college. Why don’t all schools provide it? By Ron Lieber A similar version of this column was published ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

Dataset Preprocessing Leveraging Vision Language Models: Storytelling for Accident Detection and Description

Abstract: In recent years, the Vision-Language Models (VLMs) have significantly advanced the field of storytelling applications. Visual storytelling involves the use of Generative AI models to ...