Results 251 to 260 of about 3,437,889 (360)

Text und Data Mining: Herausforderungen und Möglichkeiten für Bibliotheken

, 2016
Bastian Drees
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Patterns of discussion on neuroticism and self-management behaviors in type 2 diabetes: a scoping review using machine learning-assisted text mining. [PDF]

Front Public Health
Sun W, Xie D, Zhang M, Hou W, Wang Z, Wang C, Xu G, Yang H.   +7 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Research on the evaluation of China's Supply Chain Finance policy based on text mining. [PDF]

PLoS One
Li M, Dong Y.
europepmc   +1 more source

Image 1_Machine learning-based text mining for cutaneous myiasis and potential value of an accidental maggot therapy for complicated skin and soft tissue infection with sepsis.tif

Zhiyuan Zhou (350818), Chaoran Yu (826178), Danhua Yao (16241768), Zhen Wang (72451), Yuhua Huang (1834618), Pengfei Wang (123133), Weimin Wang (145168), Yousheng Li (4320634)   +7 more
openalex   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Analysis of the causes of improper medical decision-making in medical damage liability disputes in China: a text mining approach. [PDF]

BMC Health Serv Res
Xu Q, Lyu Y, Zhang X, Liu J.
europepmc   +1 more source

TISSUES v1 (human, text mining, full)

, 2015
Alberto Santos, Kalliopi Tsafou, Sune Pletscher-Frankild, Christian Stolte, Séan O’Donoghue, Lars Juhl Jensen   +5 more
openalex   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source