|
|
|
|
|
Cristobal Aguilar-Gallardo and Ana Bonora-Centelles
Cell and gene therapies represent promising new treatment options for many diseases, but also face challenges for clinical translation and delivery. Hospital-based GMP facilities enable rapid bench-to-bedside development and patient access but require si...
ver más
|
|
|
|
|
|
|
|
|
Liangtian Wang, Jie Zhou, Yuexin Chang and Hao Xu
In recent years, electrochemical descaling technology has gained widespread attention due to its environmental friendliness and ease of operation. However, its single-pass removal efficiency could be higher, severely limiting its practical application. T...
ver más
|
|
|
|
|
|
|
|
|
Fernanda Paes de Barros Gomide, Luís Bragança and Eloy Fassi Casagrande Junior
The construction sector stands as the predominant consumer of cement, steel, and plastic and is accountable for a substantial 55% of industrial carbon emissions. Greenhouse gases and other forms of pollution linked to the housing sector significantly con...
ver más
|
|
|
|
|
|
|
|
|
Thanda Shwe and Masayoshi Aritsugi
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi...
ver más
|
|
|
|
|
|
|
|
|
Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir...
ver más
|
|
|
|