|
|
|
|
|
Chenxi Liu, Israel Cohen, Rotem Vishinkin and Hossam Haick
Tuberculosis (TB) has long been recognized as a significant health concern worldwide. Recent advancements in noninvasive wearable devices and machine learning (ML) techniques have enabled rapid and cost-effective testing for the real-time detection of TB...
ver más
|
|
|
|
|
|
|
|
|
|
|
Augusto Montisci and Maria Cristina Porcu
The proposed method is a neural-network-based tool for the early warning of ground settlement hazard in urban areas. On the basis of the analysis of MT-InSAR data through an unsupervised learning, the method can find precursors of similar time-evolving p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md. Oli-Uz-Zaman, Saleh Ahmad Khan, Geng Yuan, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Yanzhi Wang and Jinhui Wang
When deep neural network (DNN) is extensively utilized for edge AI (Artificial Intelligence), for example, the Internet of things (IoT) and autonomous vehicles, it makes CMOS (Complementary Metal Oxide Semiconductor)-based conventional computers suffer f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Diana Carolina Jesus De Paula,César Eduardo Guarienti,Raphael de Souza Rosa Gomes,Flávia Maria de Moura Santos
Frente a importância de acompanhar a evolução da intensidade das ilhas de calor noturnas encontradas em Cuiabá/MT. O objetivo desta pesquisa é a partir de dados microclimáticos obtidos através do método de transecto moveis nos anos de 2011-2012 e 2016 es...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sajad Sabzi, Razieh Pourdarbani and Juan Ignacio Arribas
A computer vision system for automatic recognition and classification of five varieties of plant leaves under controlled laboratory imaging conditions, comprising: 1?Cydonia oblonga (quince), 2?Eucalyptus camaldulensis dehn (river red gum), 3?Malus pumil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andy Way, Rejwanul Haque, Guodong Xie, Federico Gaspari, Maja Popovic and Alberto Poncelas
Every day, more people are becoming infected and dying from exposure to COVID-19. Some countries in Europe like Spain, France, the UK and Italy have suffered particularly badly from the virus. Others such as Germany appear to have coped extremely well. B...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lieve Macken, Daniel Prou and Arda Tezcan
This paper studies the impact of machine translation (MT) on the translation workflow at the Directorate-General for Translation (DGT), focusing on two language pairs and two MT paradigms: English-into-French with statistical MT and English-into-Finnish ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hanna Martikainen
The recent arrival on the market of high-performing neural MT engines will likely lead to a profound transformation of the translation profession. The purpose of this study is to explore how this paradigm change impacts the post-editing process, with a f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Magdalena Kacmajor and John D. Kelleher
Open software repositories make large amounts of source code publicly available. Potentially, this source code could be used as training data to develop new, machine learning-based programming tools. For many applications, however, raw code scraped from ...
ver más
|
|
|
|
|
|