Applied machine learning techniques for performance analysis in large wind farms
HIGHLIGHTS who: John Thomas Lyons and Tuhfe Göçmen from the Technical University of Denmark, Roskilde, Denmark have published the research: […]
Computer_Science
Computer_Science
Computer_Science
Spectrum sensing method based on residual cellular network
HIGHLIGHTS who: Spectrum Sensing Method Based and collaborators from the The Higher Educational Key Laboratory for Measuring and Control Technology
Computer_Science
Who gets the catch? how conventional catch attribution frameworks undermine equity in transboundary fisheries
HIGHLIGHTS who: Ruth A. Davis from the Australian National Centre for Ocean Resources and Security (ANCORS), University of Wollongong, Wollongong,
Computer_Science
Modelling, simulation, and management strategy of an electric vehicle charging station based on a dc microgrid
HIGHLIGHTS who: Dian Wang et al. from the Sorbonne University, Université de Technologie de Compiègne, EA , S, Compiègne, France
Computer_Science
Uncertainty-aware deep learning methods for robust diabetic retinopathy classification
HIGHLIGHTS who: Retinopathy Classification and colleagues from the Department of Computer Science, Aalto University, Aalto, Finland have published the research:
Computer_Science
Research open access
HIGHLIGHTS who: Ehret et_al Genetics Selection and collaborators from the (UNIVERSITY) have published the Article: RESEARCH Open Access, in the
Computer_Science
Expectation of reward differentially modulates executive inhibition
HIGHLIGHTS who: Paula M. Herrera from the Experimental environment conditions were controlledAll participants performed the experiment in a specific room
Computer_Science
Challenges in clinical metaproteomics highlighted by the analysis of acute leukemia patients with gut colonization by multidrug-resistant enterobacteriaceae
HIGHLIGHTS who: Julia Rechenberger and colleagues from the Technical University Munich, Freising, Germany have published the research: Challenges in Clinical
Computer_Science
Evaluation of tourism food safety and quality with neural networks
HIGHLIGHTS who: Dandan Li and collaborators from the Key Laboratory of Food Science and Technology, School of Life Sciences and
Computer_Science
A machine learning approach to identify the importance of novel features for crispr/cas9 activity prediction
HIGHLIGHTS who: Dhvani Sandip Vora et al. from the Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi,