Results 191 to 200 of about 46,435 (264)
A machine learning framework for predicting and modulating condition-dependent protein phase separation. [PDF]
Bae J, Kang M, Lee D, Yoon KJ, Jung Y.
europepmc +1 more source
Artificial intelligence and liquidation: Reality, destiny and fantasy
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley +1 more source
Microstructural insights into fast ion transport in solid electrolytes via multiscale modeling. [PDF]
Ou Y +9 more
europepmc +1 more source
Report on LSA for Machine-type Communications
Report on LSA for Machine-type Communications ...
openaire +1 more source
This dual bibliometric analysis examined 5129 publications and the top 100 most cited publications on bioinformatics and omics in colorectal cancer (2004–2025) from the Web of Science Core Collection. Using SCImago Graphica, VOSviewer, CiteSpace, and R Studio, we analyzed global trends, countries/regions, institutions, journals, authors, references ...
Yue Huang +7 more
wiley +1 more source
Extracting the transitivity backbone of bipartite networks. [PDF]
Ramirez LS +3 more
europepmc +1 more source
Use of ultrasonography in assessing peri‐implant osseous defects: An in vitro study
Abstract Background The purpose of this study is to investigate the feasibility and diagnostic accuracy of ultrasonography in peri‐implant defect identification and evaluation, and to compare ultrasonography (USG) with cone‐beam computed tomography (CBCT) in defect identification and evaluation in an in vitro model.
Melissa Rachel Fok +4 more
wiley +1 more source
Decorrelating carbon and water fluxes in the Amazon Basin. [PDF]
Worden S +5 more
europepmc +1 more source
From ACR O‐RADS 2022 to Explainable Deep Learning
Objectives The 2022 update of the Ovarian‐Adnexal Reporting and Data System (O‐RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter‐observer variability and conservative diagnostic thresholds.
Ali Abbasian Ardakani +11 more
wiley +1 more source
Machine learning-assisted high-speed combinatorial optimization with Ising machines for dynamically changing problems. [PDF]
Hamakawa Y +3 more
europepmc +1 more source

