Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Professor Nicolas Boumal, currently Tenure Track Assistant Professor at EPFL, as Associate Professor of Mathematics in the ...
National Intellectual Property Administration Announces Important Patent Application ...
The compounds that emerge aren't just theoretical curiosities. They're synthesised and tested, and one targeting fibrosis ...
A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, electricity, and vibrations for computation, aiming to free themselves from ...
in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...
Assessing the lethal resistance levels of buildings during earthquakes is crucial for reducing disaster losses and human casualties. This study proposes a novel model that integrates an improved ...
ABSTRACT: For English sentences with a large amount of feature data and complex pronunciation changes contrast to words, there are more problems existing in Hidden Markov Model (HMM), such as the ...
Abstract: Agile imaging satellites play important roles in gathering Earth surface information due to their expansive field-of- view, high-resolution observations, and flexibility in observation ...
1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...
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