Results 121 to 130 of about 130,593 (297)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review.

JMIR Med Inform, 2023
Bazoge A, Morin E, Daille B, Gourraud PA.   +3 more
europepmc   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Data Warehouse Analisa Prestasi Akademik Siswa di SMP Roudlotul Jadid Lumajang

, 2016
Yusi Dwi Dayati, Achmad Choiron, Slamet Kacung   +2 more
openalex   +1 more source

A Novel Optimized Case-Based Reasoning Approach With K-Means Clustering and Genetic Algorithm for Predicting Multi-Class Workload Characterization in Autonomic Database and Data Warehouse System [PDF]

, 2020
Nusrat Shaheen, Basit Raza, Ahmad Raza Shahid, Hani Alquhayz   +3 more
openalex   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Data lakes versus data warehouses: choosing the right approach for big data analytics

Journal of Electrical Systems and Information Technology
In the era of big data, organizations face critical decisions when selecting between data lakes and data warehouses to meet their analytics requirements.
Saliha Mezzoudj, Meriem Khelifa, Yassmina Saadna   +2 more
doaj   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Understanding enterprise data warehouses to support clinical and translational research. [PDF]

J Am Med Inform Assoc, 2020
Campion TR, Craven CK, Dorr DA, Knosp BM.   +3 more
europepmc   +1 more source

Knowledge Management Process for Air Quality Systems based on Data Warehouse Specification

, 2021
Mohamed Saifeddine Hadj Sassi, Lamia Chaari Fourati, Manel Zekri, Sadok Ben Yahia   +3 more
openalex   +1 more source