Results 231 to 240 of about 495,115 (315)

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Exploring the Differentiation of Self-Concepts in the Physical and Virtual Worlds Using Euclidean Distance Analysis and Its Relationship With Digitalization and Mental Health Among Young People: Cross-Sectional Study.

JMIR Ment Health
Chan KT, Hui CL, Cheung C, Suen YN, Wong SMY, Wong CS, Kam BP, Chen EYH.   +7 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Deterministic Equivalent of the Log-Euclidean Distance between Sample Covariance Matrices [PDF]

Xavier Mestre, Roberto Pereira
openalex   +1 more source

Klasifikasi Kadar Hidrasi Tubuh Berdasarkan Warna Urine dengan Metode Ekstraksi Fitur Citra dan Euclidean Distance

, 2020
Deden Wahiddin
openalex   +2 more sources

Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning [PDF]

, 2017
Helen Oleynikova, Zachary Taylor, Marius Fehr, Roland Siegwart, Juan Nieto   +4 more
openalex   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi   +6 more
wiley   +1 more source

Soft Magnetic Sensor Array for Amphibious Measurement of 3D Muscle Deformation Distribution for Human Motion Recognition

Advanced Intelligent Systems, EarlyView.
This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu, Zihan Chen, Chuxuan Guo, Zijie Liu, Yibin Chen, Xuan Wu, Zhuo Li, Qining Wang, Jiajie Guo   +8 more
wiley   +1 more source

Image generator for tabular data based on non-Euclidean metrics for CNN-based classification. [PDF]

PLoS One
Lin YR, Wu HM.
europepmc   +1 more source

IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition

Advanced Intelligent Systems, EarlyView.
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi, Olatunji Omisore, Wenjing Du, Wenke Duan, Chen Bailang, Liu Kun, Lei Wang, Minxin Wei   +7 more
wiley   +1 more source