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
Advanced financial security system using smart contract in private ethereum consortium blockchain with hybrid optimization strategy. [PDF]
Prabanand SC, Thanabal MS.
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
Securing IoT Sensors Using Sharding-Based Blockchain Network Technology Integration: A Systematic Review. [PDF]
Aslam A+3 more
europepmc +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Appropriately Matching Transport Care Units to Patients in Interhospital Transport Care: Implementation Study. [PDF]
Hasavari S, Esmaeilzadeh P.
europepmc +1 more source
Impact of an enterprise controlled substance management system on labor and inventory costs. [PDF]
Mohundro M+6 more
europepmc +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
A Temporal Graph Dataset of Bitcoin Entity-Entity Transactions. [PDF]
Coquidé C, Cazabet R.
europepmc +1 more source
Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices
In this study, a novel graph‐based representation methodology is proposed to effectively address current challenges in description. An ideal approach to representing the device parameters in the static equilibrium state is suggested. In the trained predictive model, superior accuracy is demonstrated, making it a reliable tool for representing organic ...
Taeyang Lee+11 more
wiley +1 more source