Results 161 to 170 of about 10,487,885 (363)

Singular-Value-Based Cluster Number Detection Method

Mathematics
The cluster number can directly affect the clustering effect and its application in real-world scenarios. Its determination is one of the key issues in cluster analysis.
Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Chenhui Shi, Bo Liang, Xujun Zhao, Yaling Xun   +7 more
doaj   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

Advanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel   +3 more
wiley   +1 more source

Coefficient inequalities for subclasses of analytic functions based on quasi-subordination and majorization related with sigmoid functions

, 2022
L. Vanitha, C. Ramachandran, G. Murugusundaramoorthy, Halit Orhan   +3 more
openalex   +1 more source

Brain‐Wide Spatiotemporally Distinct Traveling Waves Drive Anxiety‐Like Behaviors in Mice

Advanced Science, EarlyView.
J.Liu et al. reveal the complete propagation dynamics of cortical traveling waves, from local circuitry initiation to long‐range propagation, and identify their functional relevance in modulating anxiety‐like behaviors and underlying cellular neuroplasticity in mice.
Jiaming Liu, Jia‐Wen Mo, Xunda Wang, Yinuo Ma, Shile Tian, Qi Wang, Peng‐Li Kong, Ziqi An, Li Ding, Jing Ren, Cheng‐Lin Lu, Chuanjun Tong, Ed X. Wu, Qiu‐gen Hu, Xiong Cao, Yanqiu Feng   +15 more
wiley   +1 more source

Efficient FPGA Implementation of Sigmoid and Bipolar Sigmoid Activation Functions for Multilayer Perceptrons

IOSR Journal of Engineering, 2012
Artificial Neural Networks base their processing capabilities in a parallel architecture. This makes them extremely useful in pattern recognition, system identification and control problems. Multilayer Perceptron is an artificial neural network with one or more hidden layers. The Activation function determines the performance of a Multilayer Perceptron.
openaire   +2 more sources

A Bead‐Based Quantum Dot Immunoassay Integrated with Multi‐Module Microfluidics Enables Real‐Time Multiplexed Detection of Blood Insulin and Glucagon

Advanced Science, EarlyView.
The quantum dot integrated real‐time ELISA or QIRT‐ELISA system integrates a bead‐based quantum dot‐mediated immunoassay (BQI) with a modular microfluidic system to continuously monitor insulin and glucagon in whole blood samples and in a multiplexed setting.
Hesam Abouali, Sanjana Srikant, Md Fahim Al Fattah, Nicole G. Barra, Darryl Chan, Dayan Ban, Jonathan D. Schertzer, Mahla Poudineh   +7 more
wiley   +1 more source

On Systems of Neural ODEs with Generalized Power Activation Functions

Journal of Optimization, Differential Equations and Their Applications
When constructing neural network-based models, it is common practice to use time-tested activation functions such as the hyperbolic tangent, the sigmoid or the ReLU functions. These choices, however, may be suboptimal.
Vasiliy Ye. Belozyorov, Yevhen V. Koshel
doaj   +1 more source

Sigmoid Activation Function in Selecting the Best Model of Artificial Neural Networks

, 2020
Heny Pratiwi, Agus Perdana Windarto, S Susliansyah, Ririn Restu Aria, Susi Susilowati, Luci Kanti Rahayu, Yuni Fitriani, Agustiena Merdekawati, Indra Riyana Rahadjeng   +8 more
openalex   +1 more source

Face Recognition with Backpropagation Artificial Neural Networks Using the Sigmoid Activation Function

, 2022
Restu Monika Nia Betaubun, Elvis Pawan, Endang Yuliasih   +2 more
openalex   +2 more sources

Genetic Deconvolution of Embryonic and Maternal Cell‐Free DNA in Spent Culture Medium of Human Preimplantation Embryo Through Deep Learning

Advanced Science, EarlyView.
DECENT is a deep learning method that enhances noninvasive preimplantation genetic testing by accurately reconstructing embryonic copy number variations (CNVs) from cell‐free DNA in spent embryo culture media. By mitigating maternal contamination, DECENT improves diagnostic accuracy, even with high contamination levels, offering a reliable, noninvasive
Zhenyi Zhang, Jie Qiao, Yidong Chen, Peijie Zhou   +3 more
wiley   +1 more source