Zobrazeno 1 - 10
of 46
pro vyhledávání: '"The, Jesse Van Griensven"'
This study uncovers novel vulnerabilities within Quantum Key Distribution (QKD) protocols that extend beyond traditional implementation flaws, such as loopholes. These newly identified vulnerabilities arise from the complex interaction between Bell I
Externí odkaz:
http://arxiv.org/abs/2409.18471
SeeFar is an evolving collection of multi-resolution satellite images from public and commercial satellites. We specifically curated this dataset for training geospatial foundation models, unconstrained by satellite type. In recent years, advances in
Externí odkaz:
http://arxiv.org/abs/2406.06776
Autor:
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi
Publikováno v:
Energies, Vol 17, Iss 14, p 3580 (2024)
Merging machine learning with the power of quantum computing holds great potential for data-driven decision making and the development of powerful models for complex datasets. This area offers the potential for improving the accuracy of the real-time
Externí odkaz:
https://doaj.org/article/c7d1160506604e4fb622692e6e42e89d
Autor:
Victor Oliveira Santos, Bruna Monallize Duarte Moura Guimarães, Iran Eduardo Lima Neto, Francisco de Assis de Souza Filho, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1870 (2024)
It is crucial to monitor algal blooms in freshwater reservoirs through an examination of chlorophyll-a (Chla) concentrations, as they indicate the trophic condition of these waterbodies. Traditional monitoring methods, however, are expensive and time
Externí odkaz:
https://doaj.org/article/3d967c426c004e528ea64575cb6d9763
Autor:
Yue Zhang, Zimo Zhou, Ying Deng, Daiwei Pan, Jesse Van Griensven Thé, Simon X. Yang, Bahram Gharabaghi
Publikováno v:
Water, Vol 16, Iss 9, p 1284 (2024)
Considering the increased risk of urban flooding and drought due to global climate change and rapid urbanization, the imperative for more accurate methods for streamflow forecasting has intensified. This study introduces a pioneering approach leverag
Externí odkaz:
https://doaj.org/article/f24d2f7ba60d47bea9d0948aa1b79a28
Akademický článek
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Publikováno v:
Water, Vol 16, Iss 5, p 707 (2024)
Dissolved oxygen (DO) concentration is a pivotal determinant of water quality in freshwater lake ecosystems. However, rapid population growth and discharge of polluted wastewater, urban stormwater runoff, and agricultural non-point source pollution r
Externí odkaz:
https://doaj.org/article/7fbeaf408ac9493fbb3b824ef3294abd
Publikováno v:
Toxics, Vol 12, Iss 1, p 42 (2024)
Amid the growing concerns about air toxics from pollution sources, much emphasis has been placed on their impacts on human health. However, there has been limited research conducted to assess the cumulative country-wide impact of air toxics on both t
Externí odkaz:
https://doaj.org/article/d1161f89530a4b0496028db3147b9cc8
Akademický článek
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Autor:
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Van Griensven Thé, Bahram Gharabaghi
Publikováno v:
Environments, Vol 10, Iss 12, p 217 (2023)
Dissolved oxygen (DO) is a key indicator of water quality and the health of an aquatic ecosystem. Aspiring to reach a more accurate forecasting approach for DO levels of natural streams, the present work proposes new graph-based and transformer-based
Externí odkaz:
https://doaj.org/article/095a0fe7d55c459984c175f3b2c1a391