Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Low-Complexity Noncoherent Demodulation Method for Underwater Electromagnetic Communication. [PDF]
Deng L +5 more
europepmc +1 more source
A theorem on the formalized arithmetic with function symbols ' and $+$
openaire +2 more sources
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
Defining neurocognitive constructs underlying visual attention in mild cognitive impairment and dementia using digital assessment technology. [PDF]
Libon DJ +7 more
europepmc +1 more source
A note on a formalized arithmetic with function symbols ' and $+$
openaire +2 more sources
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Eye-Tracking-Based Digital Therapeutic for ADHD in Children: Development and Preliminary Evaluation of an Adaptive Learning Guide. [PDF]
Kim SC, Lee SY, Lee SW.
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Pathways related to the degeneration of health behavior in stroke patients: a qualitative comparative analysis. [PDF]
Chen L +5 more
europepmc +1 more source

