Results 1 to 10 of about 8,272,458 (291)

Testing the Suitability of Automated Machine Learning for Weeds Identification

AI, 2021
In the past years, several machine-learning-based techniques have arisen for providing effective crop protection. For instance, deep neural networks have been used to identify different types of weeds under different real-world conditions. However, these
Borja Espejo-Garcia, Ioannis Malounas, Eleanna Vali, Spyros Fountas   +3 more
doaj   +3 more sources

Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics [PDF]

Frontiers in Artificial Intelligence
Financial customer analytics requires specialized machine learning pipelines that incorporate domain-specific understanding of customer behavior. Existing automated ML approaches often lack the capacity to effectively construct marketing-relevant ...
Ye Tian, Wenqian Shao, Zihan Deng
doaj   +2 more sources

Defining Sports Performance by Using Automated Machine Learning System

Engineering Proceedings, 2023
We wanted to determine whether we could use an automated machine learning system called Azure for the selection process and placement of conscript training in such a way that AI can make decisions for the right conscript training program individually. To
Kalle Saastamoinen, Tuomas E. Alanen, Pasi Leskinen, Kai Pihlainen, Joona Jehkonen   +4 more
doaj   +1 more source

Spatial Decision Support Systems with Automated Machine Learning: A Review

ISPRS International Journal of Geo-Information, 2022
Many spatial decision support systems suffer from user adoption issues in practice due to lack of trust, technical expertise, and resources. Automated machine learning has recently allowed non-experts to explore and apply machine-learning models in the ...
Richard Wen, Songnian Li
doaj   +1 more source

Automated machine learning for differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma on multiphasic MRI

Scientific Reports, 2022
With modern management of primary liver cancer shifting towards non-invasive diagnostics, accurate tumor classification on medical imaging is increasingly critical for disease surveillance and appropriate targeting of therapy.
Rong Hu, Huizhou Li, Hannah Horng, Nicole M. Thomasian, Zhicheng Jiao, Chengzhang Zhu, Beiji Zou, Harrison X. Bai   +7 more
doaj   +1 more source

Mathematical Modeling of the Electrophysical Properties of a Layered Nanocomposite Based on Silicon with an Ordered Structure

Mathematics, 2021
The authors carried out modeling of the electrophysical properties of composite media. The frequency dependences of the dielectric constant on the type of inclusions in the composite are investigated.
Sergey Korchagin, Ekaterina Romanova, Denis Serdechnyy, Petr Nikitin, Vil Baiburin, Yerbol Yerbayev   +5 more
doaj   +1 more source

Classification of chest radiographs using general purpose cloud-based automated machine learning: pilot study

The Egyptian Journal of Radiology and Nuclear Medicine, 2021
Background Widespread implementation of machine learning models in diagnostic imaging is restricted by dearth of expertise and resources. General purpose automated machine learning offers a possible solution. This study aims to provide a proof of concept
Tamaghna Ghosh, Simran Tanwar, Shishir Chumber, Kavita Vani   +3 more
doaj   +1 more source

Research of intelligent reasoning system of Arabidopsis thaliana phenotype based on automated multi-task machine learning

Frontiers in Plant Science, 2023
Traditional machine learning in plant phenotyping research requires the assistance of professional data scientists and domain experts to adjust the structure and hy-perparameters tuning of neural network models with much human intervention, making the ...
Peisen Yuan, Shuning Xu, Zhaoyu Zhai, Huanliang Xu   +3 more
doaj   +1 more source

Low-cost doctor blade coater with integrated process characterization [PDF]

Digital Discovery
Laboratory-scale electrode coating is routinely performed without quantitative process control or characterization potential, leaving thickness variations undetected and risking misinterpretation of downstream characterization.
Leah Nuss, Friederike Ganster, Helge Sören Stein   +2 more
doaj   +1 more source

Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data

Remote Sensing, 2022
The pre-harvest estimation of seed composition from standing crops is imperative for field management practices and plant phenotyping. This paper presents for the first time the potential of Unmanned Aerial Vehicles (UAV)-based high-resolution ...
Kamila Dilmurat, Vasit Sagan, Maitiniyazi Maimaitijiang, Stephen Moose, Felix B. Fritschi   +4 more
doaj   +1 more source