Results 171 to 180 of about 115,093 (312)

Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images [PDF]

, 2020
Djeane Debora Onthoni, Ting‐Wen Sheng, Prasan Kumar Sahoo, Li-Jen Wang, Pushpanjali Gupta   +4 more
openalex   +1 more source

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning [PDF]

, 2021
Pan Zhou, Caiming Xiong, Xiao–Tong Yuan, Steven C. H. Hoi   +3 more
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance [PDF]

Reza Esfandiarpoor, George Zerveas, Ruochen Zhang, Macton Mgonzo, Carsten Eickhoff, Stephen H. Bach   +5 more
openalex   +1 more source

A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning [PDF]

, 2022
Sajjad Ahmad, Zahoor Ahmad, Jong-Myon Kim   +2 more
openalex   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

Contrast phase recognition in liver computer tomography using deep learning [PDF]

, 2022
Bruno Aragão Rocha, Lorena Carneiro Ferreira, Luis Gustavo Rocha Vianna, Luma Gallacio Gomes Ferreira, Ana Claudia Martins Ciconelle, Alex Da Silva Noronha, João Martins Cortez Filho, Lucas Salume Lima Nogueira, Jean Michel Rocha Sampaio Leite, Maurício Ricardo Moreira da Silva Filho, Cláudia da Costa Leite, Marcelo de Maria Felix, Marco A. Gutiérrez, César Higa Nomura, Giovanni Guido Cerri, Flair José Carrilho, Ono S   +16 more
openalex   +1 more source

Selective Benzene Capture by Metal‐Organic Frameworks

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han, Ankit Mondal, Jiatong Huo, Yihao Yang, Hong‐Cai Zhou   +4 more
wiley   +1 more source

Prompt-Contrastive Learning for Zero-Shot Relation Extraction. [PDF]

Entropy (Basel)
Zhong X, Zhao L, Peng L, Yang G, Hu K, Wu W.   +5 more
europepmc   +1 more source

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

Advanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou, Kenny A. van Kampen, Pierpaolo Fucile, Carlos Mota, Lorenzo Moroni   +4 more
wiley   +1 more source