Results 121 to 130 of about 1,043,746 (297)

Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery [PDF]

, 2019
Arman Kilic, Anshul Goyal, James Miller, Eva Gjekmarkaj, Weng Lam Tam, Thomas G. Gleason, Ibrahim Sultan, Artur Dubrawksi   +7 more
openalex   +1 more source

Development of automated marine floating plastic detection system using Sentinel-2 imagery and machine learning models

, 2022
Srikanta Sannigrahi, Bidroha Basu, Arunima Sarkar Basu, Francesco Pilla   +3 more
openalex   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Machine Learning to Predict the Martensite Start Temperature in Steels [PDF]

, 2019
Moshiour Rahaman, Wangzhong Mu, Joakim Odqvist, Peter Hedström   +3 more
openalex   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

A systematic analysis of machine learning and deep learning based approaches for identifying and diagnosing plant diseases

, 2023
Imtiaz Ahmed, Pramod Kumar Yadav
openalex   +1 more source

Machine Learning for Light Sensor Calibration [PDF]

, 2021
Yichao Zhang, Lakitha O. H. Wijeratne, Shawhin Talebi, David J. Lary   +3 more
openalex   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Explainable machine learning models of major crop traits from satellite-monitored continent-wide field trial data

, 2021
Saul Newman, Robert T. Furbank
openalex   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source