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 ...

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

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- 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, ...
GitHub

DAIC‑WOZ Trimodal Model

A reproducible pipeline for depression detection that fuses speech acoustics (wav2vec 2.0), facial dynamics (OpenFace CLNF), and LLM‑based binary classification on transcripts (OpenAI o1 pro) on the ...
GitHub

BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation (CVPR 2025)

MMHuman3D — dataset preprocessing utilities, evaluation protocols, and loaders that informed our data pipeline. ZOLLY & PDHuman — PDHuman dataset and related preprocessing guidance and ZOLLY as ...
Frontiers

Accurate intelligent modeling of mud loss while drilling wells via soft computing methods

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...
IEEE

Machine Learning for Wi-Fi Intrusion Detection: A Comparative Study of Accuracy, Explainability, and Adversarial Robustness

Abstract: The rapid advancement of artificial intelligence (AI) has sparked extensive discussions regarding its potential to enhance daily life through various applications. Among these, machine ...