Scientific Research Publishing

A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data ()

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data Preprocessing can quietly change the meaning of your data, which is why the Data Fusion Labeler is built to harmonize ...
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 ...
IEEE

Descriptor: A Dataset on Educational, Lifestyle, and Socioeconomic Factors of Bangladeshi Students (DELSFBS)

Abstract: We present DELSFBS, a curated dataset of 1,504 Bangladeshi students collected between March and September 2025. The dataset includes 20 variables covering study habits, academic performance, ...
Frontiers

Robust automated preclinical fMRI preprocessing via a multi-stage dilated convolutional Swin Transformer affine registration

Introduction: Accurate preprocessing of functional magnetic resonance imaging (fMRI) data is crucial for effective analysis in preclinical studies. Key steps such as denoising, skull-stripping, and ...
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 ...