Results 261 to 270 of about 463,586 (333)
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong+2 more
wiley +1 more source
Off-the-grid regularisation for Poisson inverse problems. [PDF]
Lazzaretti M+3 more
europepmc +1 more source
Process Resilience under Optimal Data Injection Attacks
Abstract In this article, we study the resilience of process systems in an information‐theoretic framework, from the perspective of an attacker capable of optimally constructing data injection attacks. The attack aims to distract the stationary distributions of process variables and stay stealthy, simultaneously.
Xiuzhen Ye, Wentao Tang
wiley +1 more source
Creating a novel algorithm for studying the strong convergence to a sequence with applications. [PDF]
Hammad HA, Dafaalla ME, Abdalla MEM.
europepmc +1 more source
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru+7 more
wiley +1 more source
Risk factors and foot biomechanical characteristics of idiopathic scoliosis: a cross-sectional study. [PDF]
Sun P+9 more
europepmc +1 more source
Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source
The Role of Psoas Muscle in Scoliosis: A Review of the Literature. [PDF]
Fryda Z+6 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source