Results 151 to 160 of about 10,487,885 (363)
Low light image enhancement with adaptive sigmoid transfer function [PDF]
Kankanala Srinivas+1 more
openalex +1 more source
Subclasses of Univalent Functions Involving Modified Sigmoid Function
Olubunmi A. Fadipe-Joseph+2 more
openalex +1 more source
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley +1 more source
MLP Based Tan-Sigmoid Activation Function for Cardiac Activity Monitoring [PDF]
Hashim Fakroul Ridzuan+4 more
openalex +1 more source
Voltage-to-Voltage Sigmoid Neuron Activation Function Design for Artificial Neural Networks
Tatiana Moposita+4 more
openalex +2 more sources
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang+4 more
wiley +1 more source
A Wireless Soft Optical Blood Sensor for Colonoscopy
This works presents an “add‐on” wireless soft optical blood sensor for the traditional colonoscopy. It can reliably detect bleeding behind the colonoscope's distal tip camera via optical absorption, without optical fibers, and wirelessly transmit data to the processor.
Kamin Palkawong‐Na‐Ayuddhaya+6 more
wiley +1 more source
Fuzzy fractional more sigmoid function activated neural network approximations revisited
George A. Anastassiou
openalex +1 more source
Neural‐network‐based (NN) temperature sensing: Machine‐learning non‐contact method for the determination of the temperature of a laser gain medium via its laser emission with few‐layer neural net (NN) regression model. Training the feed‐forward NN with data recorded by compact micro‐spectrometers for both a diode pump laser and optically‐pumped gain ...
Jakob Mannstadt, Arash Rahimi‐Iman
wiley +1 more source
This work presents a combined analytical–computational approach to quantify the influence of aspect ratio and anisotropic orientation on the percolation behavior of penetrable rectangles. The proposed model reliably predicts the geometric percolation threshold and electrical conductivity of 2D networks, with power‐law fits showing strong agreement with
Danvendra Singh+5 more
wiley +1 more source