|
|
|
|
|
Somayeh Shahrabadi, Telmo Adão, Emanuel Peres, Raul Morais, Luís G. Magalhães and Victor Alves
The proliferation of classification-capable artificial intelligence (AI) across a wide range of domains (e.g., agriculture, construction, etc.) has been allowed to optimize and complement several tasks, typically operationalized by humans. The computatio...
ver más
|
|
|
|
|
|
|
|
|
Dimitrios Kalfas, Stavros Kalogiannidis, Olympia Papaevangelou and Fotios Chatzitheodoridis
The complex interplay between land use planning, water resource management, and the effects of global climate change continues to attract global attention. This study assessed the connection between land use planning, water resources, and global climate ...
ver más
|
|
|
|
|
|
|
|
|
Miguel Suffo, Celia Pérez-Muñoz, Gonzalo Alba and María Pilar Villar
In the wine bottling process, thermoplastics are commonly used to manufacture the crown of cork stoppers. The production of agglomerated cork stoppers generates a type of waste called cork powder (CoP) in large volumes with known properties but which are...
ver más
|
|
|
|
|
|
|
|
|
Thimo F. Schindler, Simon Schlicht and Klaus-Dieter Thoben
Within the integration and development of data-driven process models, the underlying process is digitally mapped in a model through sensory data acquisition and subsequent modelling. In this process, challenges of different types and degrees of severity ...
ver más
|
|
|
|
|
|
|
|
|
Lingbo Nan, Yumeng Wang, Diyi Chen, Weining Huang, Zuchao Zhu and Fusheng Liu
Traditional centrifugal pump performance prediction (CPPP) employs the semi-theoretical and semi-empirical approaches; however, it can lead to many prediction errors. Considering the superiority of deep learning when applied to nonlinear systems, in this...
ver más
|
|
|
|