Multi-wavelength graph convolutional network for high-performance sparse multispectral optoacoustic tomography. [PDF]
Lu M, Wang J, Peng J, Li B, Liu X.
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
MVSGDR: multi-view stacked graph convolutional network for drug repositioning. [PDF]
Gu G +7 more
europepmc +1 more source
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
PF-AGCN: an adaptive graph convolutional network for protein-protein interaction-based function prediction. [PDF]
Yang S, Su Y, Lin Y, Lin Q, Chen Z.
europepmc +1 more source
Smart Parking Systems: A Review of Optimization Techniques and Technological Advances
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee +5 more
wiley +1 more source
Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang +3 more
wiley +1 more source
A multi-domain graph convolutional network-based prediction model for personalized motor imagery action. [PDF]
Ge J +5 more
europepmc +1 more source
Enhancing green hydrogen forecasting with a spatio-temporal graph convolutional network optimized by the Ninja algorithm. [PDF]
Yassen MA +5 more
europepmc +1 more source
Predicting pyrazinamide resistance in Mycobacterium tuberculosis using a graph convolutional network
Dissanayake D +4 more
europepmc +1 more source

