Results 91 to 100 of about 17,207,076 (361)

Double Sigmoid Activation Function for Fault Detection in Wind Turbine Generator using Artificial Neural Network [PDF]

Iranian Journal of Electrical and Electronic Engineering
The activation function has gained popularity in the research community since it is the most crucial component of the artificial neural network (ANN) algorithm.
NOOR FAZLIANA FADZAIL, Samila Mat Zali, Ernie Che Mid   +2 more
doaj  

Gaussian Error Linear Units (GELUs)

, 2020
We propose the Gaussian Error Linear Unit (GELU), a high-performing neural network activation function. The GELU activation function is $x\Phi(x)$, where $\Phi(x)$ the standard Gaussian cumulative distribution function.
Gimpel, Kevin, Hendrycks, Dan
core  

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation

Computing Open
Medical image segmentation has always been a challenging task. This paper proposes a new LUneXt medical image segmentation model based on the characteristics analysis of medical image data sets and testing of different nonlinear activation units.
Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao   +4 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Optimizing GANs for Cryptography: The Role and Impact of Activation Functions in Neural Layers Assessing the Cryptographic Strength

Applied Sciences
Generative Adversarial Networks (GANs) have surfaced as a transformative approach in the domain of cryptography, introducing a novel paradigm where two neural networks, the generator (akin to Alice) and the discriminator (akin to Bob), are pitted against
Purushottam Singh, Sandip Dutta, Prashant Pranav   +2 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Semantic Segmentation of Satellite Images using a Modified CNN with Hard-Swish Activation Function

VISIGRAPP, 2019
Remote sensing is a key strategy used to obtain information related to the Earth’s resources and its usage patterns. Semantic segmentation of a remotely sensed image in the spectral, spatial and temporal domain is an important preprocessing step where ...
R. Avenash, P. Viswanath
semanticscholar   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
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

Application of neural network information technology for recognition and classification of image presentations of renal cell carcinoma in chronic kidney disease to choose the optimal method of treatment

Journal of Education, Health and Sport, 2020
The information technology of recognition and classification of imaging representations of RCC complicated CKD with use of a neural network is offered.
S. M. Pasichnyk, S. V. Shatnyi, M. S. Pasichnyk, A. I. Gozhenko   +3 more
doaj   +1 more source