A distributed differential game approach to trajectory planning for offshore wind farm inspection. [PDF]
Liao Y, You S, Wang H, Yu S, Xue W.
europepmc +1 more source
Spatial‐Wavelength Multiplexing Error‐Controlled Photonic Analog Computing System
A novel photonic integrated circuit prototype implementing the concept of general‐purpose analog computing and demonstrate its capability in radio frequency applications. The chip features a multichannel architecture and performs fully optical analog computation with frequency‐domain parallel processing. An FPGA‐based error‐correction algorithm aims to
Tao Zhu +15 more
wiley +1 more source
Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction. [PDF]
Karthick V +4 more
europepmc +1 more source
Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen +15 more
wiley +1 more source
Integrated optimization of spatiotemporal resources at the intersection for delay minimization using genetic algorithm. [PDF]
Yang Z, Wu L, Li G, Xu Y, Liu W.
europepmc +1 more source
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Reinforcement learning-based optimal control for stochastic opinion dynamics. [PDF]
Chen Y, Gao H, Mazalov VV, Liu Y.
europepmc +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
Benková K, Pearson JW, Ptashnyk M.
europepmc +1 more source

