Results 71 to 80 of about 10,487,885 (363)
An Efficient Image Contrast Enhancement Method using Sigmoid Function and Differential Evolution
Journal of Advanced Engineering and Computation, 2020 Image enhancement is an adjusting process to make an image more appropriate for certain applications. The contrast enhancement is one of the most frequently used image enhancement methods.
Thi-Xuan-Hoa Nguyen +2 more
semanticscholar +1 more source
Sigmoid neural transfer function realized by percolation
Optics Letters, 1996 An experiment using the phenomenon of percolation has been conducted to demonstrate the implementation of neural functionality (summing and sigmoid transfer). A simple analog approximation to digital percolation is implemented. The device consists of a piece of amorphous silicon with stochastic bit-stream optical inputs, in which a current percolating ...
Pignon, D. +6 more
openaire +4 more sources
Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the utility of smartwatch and smartphone‐based activity metrics for assessing disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In the electronic monitoring of disease activity in patients with CIDP (EMDA‐CIDP) trial, we performed a prospective ...
Lars Masanneck +15 more
wiley +1 more source
On the Approximation of the Cut and Step Functions by Logistic and Gompertz Functions
Biomath, 2015 We study the uniform approximation of the sigmoid cut function by smooth sigmoid functions such as the logistic and the Gompertz functions. The limiting case of the interval-valued step function is discussed using Hausdorff metric.
Anton Iliev Iliev +2 more
doaj +1 more source
Frontiers in Energy Research, 2023 Introduction: This paper proposes a sigmoid-based adaptive inertia control strategy for grid-forming (GFM) inverter to enhance frequency stability.Methods: Firstly, the frequency response characteristics under different disturbances are analyzed ...
Renzhi Huang +6 more
doaj +1 more source
, 2013 We report the first systematic study of designed two-input biochemical systems as information processing gates with favorable noise-transmission properties accomplished by modifying the gate's response from convex shape to sigmoid in both inputs. This is
Bakshi, Saira +4 more
core +1 more source
An effective vehicle road scene recognition based on improved deep learning
Measurement: Sensors, 2023 In order to improve the recognition for autonomous vehicles with respect to road scenes, a new activation function called ReLU sigmoid is proposed based on ReLU and the sigmoid model, which resolves the issue of neuron necrosis in the ReLU model. Through
Qiaojun Li, Wei Yang
doaj
To sigmoid-based functional description of the volatility smile [PDF]
The North American Journal of Economics and Finance, 2015 32 pages, 18 figures, 5 ...
openaire +3 more sources
$L_0$-ARM: Network Sparsification via Stochastic Binary Optimization
, 2019 We consider network sparsification as an $L_0$-norm regularized binary optimization problem, where each unit of a neural network (e.g., weight, neuron, or channel, etc.) is attached with a stochastic binary gate, whose parameters are jointly optimized ...
D Silver, RJ Williams, Y Lecun
core +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source