Results 61 to 70 of about 1,239,149 (306)
IEEE Access, 2020 In this paper, a novel method of multiple heterogeneous pre-trained deep convolutional neural network models (P-DCNN) ensemble with stacking algorithm is proposed, which can realize automatic recognition of space targets in inverse synthetic aperture ...
Hong Yang, Yasheng Zhang, Wenzhe Ding
doaj +1 more source
Automatically Configuring Algorithms for Scaling Performance [PDF]
, 2012 Automated algorithm configurators have been shown to be very effective for finding good configurations of high performance algorithms for a broad range of computationally hard problems. As we show in this work, the standard protocol for using these configurators is not always effective.
James Styles +2 more
openaire +2 more sources
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Serverless Computing: An Investigation of Deployment Environments for Web APIs
Computers, 2019 Cloud vendors offer a variety of serverless technologies promising high availability and dynamic scaling while reducing operational and maintenance costs. One such technology, serverless computing, or function-as-a-service (FaaS), is advertised as a good
Cosmina Ivan +2 more
doaj +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Automatic Real‐Time Ionogram Scaling Method for Global Ionosondes Using Artificial Intelligence
Space WeatherAn ionosonde is an instrument used for local ionosphere remote sensing observations and has the longest history and widest global distribution. Ionograms observed by ionosondes, which depict the electron density profile as a function of virtual height ...
Peng Liu +6 more
doaj +1 more source
A Local Feature Descriptor Based on SIFT for 3D Pollen Image Recognition
IEEE Access, 2019 Biological particle automatic classification is an important issue in index tasking for people with pollen hypersensitivity. This paper attempts to present a local feature extraction method based on SIFT for automatic 3D pollen image recognition.
Zhuo Wang +3 more
doaj +1 more source
Automatization Of Digital Scales
, 2021 I en konkurransedyktig avlsindustri er det, i tillegg til ønskede gener, en stor mengde data- og datahåndtering som trengs for å holde ledelsen. Norsvin er et selskap som er avhengig av å samle inn data om griser og avle frem svin med de ønskede kvalitetene. Dette krever samlinger av hyppig veiing for nøyaktig analyse. Med denne oppgaven ønsker Norsvin
Leivestad, Niklas Hatteberg +2 more
openaire +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
A method for automatic scaling of sporadic E layers
, 2007 A method for automatic scaling of the maximum frequency and virtual height of a sporadic E layer is presented. A set of ionograms recorded at the ionospheric observatory of Gibilmanna was used to test the performance of the algorithm.
Scotto, C., Pezzopane, M.
core +1 more source