Results 51 to 60 of about 815,001 (281)
Discontinuity Computing Using Physics-Informed Neural Networks
Simulating discontinuities is a long standing problem especially for shock waves with strong nonlinear feather. Despite being a promising method, the recently developed physics-informed neural network (PINN) is still weak for calculating discontinuities compared with traditional shock-capturing methods.
Li Liu +7 more
openaire +3 more sources
Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Effects of Face and Background Color on Facial Expression Perception
Detecting others’ emotional states from their faces is an essential component of successful social interaction. However, the ability to perceive emotional expressions is reported to be modulated by a number of factors.
Tetsuto Minami +3 more
doaj +1 more source
Neural networks for the Recognition of X-ray Images of Ailments for Covid-19
This investigation analyzes the current state of neural networks, considers the available types, optimizers used for training, describes their benefits and disadvantages.
Liliia Diachenko +4 more
doaj +1 more source
Can the early human visual system compete with Deep Neural Networks?
We study and compare the human visual system and state-of-the-art deep neural networks on classification of distorted images. Different from previous works, we limit the display time to 100ms to test only the early mechanisms of the human visual system ...
Dodge, Samuel, Karam, Lina
core +1 more source
Structural biology of ferritin nanocages
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Fooling Examples: Another Intriguing Property of Neural Networks
Neural networks have been proven to be vulnerable to adversarial examples; these are examples that can be recognized by both humans and neural networks, although neural networks give incorrect predictions.
Ming Zhang, Yongkang Chen, Cheng Qian
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Review of Vision-based Neural Network 3D Dynamic Gesture Recognition Methods [PDF]
Dynamic gesture recognition,as an important means of human-computer interaction,has received widespread attention.Among them,the visual-based recognition method has become the preferred choice for the new generation of human-computer interaction due to ...
WANG Ruiping, WU Shihong, ZHANG Meihang, WANG Xiaoping
doaj +1 more source
Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines
Complex image processing and computer vision systems often consist of a processing pipeline of functional modules. We intend to replace parts or all of a target pipeline with deep neural networks to achieve benefits such as increased accuracy or reduced ...
Chai, Sek, Hostetler, Jesse, Son, Kilho
core +1 more source

