Results 231 to 240 of about 3,583,809 (318)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings. [PDF]

Sci Rep
Ren W, Zhang H, Lei Y.
europepmc   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Good versus optimal: Why network analytic methods need more systematic evaluation

Open Computer Science, 2011
Zweig Katharina
doaj   +1 more source

A hybrid intrusion detection model based on dynamic spatial-temporal graph neural network in in-vehicle networks. [PDF]

Sci Rep
Zhang J, Fan X, Zhao Z.
europepmc   +1 more source

The Immobilization of Hyaluronic Acid in 3D Hydrogel Scaffolds Modulates Macrophage Polarization

Advanced Biology, EarlyView.
This study explores the use of collagen‐hyaluronic acid (HA) hydrogels for the 3D culture of macrophages, providing a useful tool for modelling macrophage behavior in tissues and diseases. It highlights how hydrogel composition, mechanical properties, and preparation methods influence macrophage behavior, revealing for the first time that HA's ...
Tiah CL Oates, Jasmin Boyd, Louise Dolan, C de Kergariou, Jingwen Zhu, Ash Toye, Adam W Perriman, Asme Boussahel   +7 more
wiley   +1 more source

EDG-PPIS: an equivariant and dual-scale graph network for protein-protein interaction site prediction. [PDF]

BMC Genomics
Zhang Z, Li Z, Li W, Zhang Q, Xiao J, Ding S, Han Y.   +6 more
europepmc   +1 more source

LIN28B Promotes Cancer Cell Dissemination and Angiogenesis

Advanced Biology, EarlyView.
Children diagnosed with high‐risk neuroblastoma have a 5‐year event‐free survival rate of less than 50% and poor outcomes after recurrence. Deregulation of the LIN28B oncogene can be addressed in these patients. Upregulation of LIN28B is shown to support the metastatic cascade.
Diana Corallo, Sara Menegazzo, Marcella Pantile, Silvia Bresolin, Carlo Zanon, Alessandro Davini, Massimiliano Mazzone, Alessandra Biffi, Sanja Aveic   +8 more
wiley   +1 more source

Graph neural networks learn emergent tissue properties from spatial molecular profiles. [PDF]

Nat Commun
Ali M, Richter S, Ertürk A, Fischer DS, Theis FJ.   +4 more
europepmc   +1 more source

Adipose Mesenchymal Stem Cell‐Derived Exosomes in Conjunction with Roflumilast Ameliorate Chronic Kidney Disease Through the Modulation of Fibrosis and Inflammation

Advanced Biology, EarlyView.
The novelty of this study showed that the injection of exosomes produced from ADMSCs in combination with Roflumilast poses a more favorable therapeutic outcome for CKD induced by Adriamycin, compared to therapy with exosomes or Roflumilast alone. Roflumilast and exosomes treatment lowered the expression of the apoptotic, fibrotic, and inflammatory ...
Mohamed Ali, Mohamed H. Sherif, Nashwa Barakat, Bassant Yahia, Ahmed A. Shokeir, Basel Sitohy   +5 more
wiley   +1 more source