Results 131 to 140 of about 4,413,107 (338)
Generative Adversarial Network Performance in Low-Dimensional Settings. [PDF]
Jimenez F, Koepke A, Gregg M, Frey M.
europepmc +1 more source
EARTH NETWORKS LIGHTNING NETWORK PERFORMANCE
Richard Sonnenfeld +4 more
openaire +1 more source
Performance analysis of a hierarchical shipboard Wireless Sensor Network
Hussein Kdouh +5 more
openalex +2 more sources
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Evaluating V2X-Based Vehicle Control under Unreliable Network Conditions, Focusing on Safety Risk
With the emergence of Vehicle-to-Everything (V2X) systems, it is important to investigate how deteriorating network parameters affect vehicle functionality based on wireless communication.
Roland Nagy +2 more
doaj +1 more source
Neural Network Performance Evaluation of Simulated and Genuine Head-and-Neck Computed Tomography Images to Reduce Metal Artifacts. [PDF]
Khaleghi G +4 more
europepmc +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Estimating Quality-of-Service in Urban Vehicular Networks Through Machine Learning
Machine Learning (ML) has emerged as a promising tool for addressing complex challenges in multiple domains. In the context of Vehicular Ad-Hoc Networks (VANETs), ML has gained much more attention due to its ability to solve major known problems in areas
Duarte Dias +3 more
doaj +1 more source
Comparison of wavelet transformations to enhance convolutional neural network performance in brain tumor segmentation. [PDF]
Hajiabadi M +3 more
europepmc +1 more source

