Results 71 to 80 of about 74,093 (258)
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
A Study on the Size of Bore on Signal to Noise Ratio (SNR) in Magnetic Resonance Imaging (MRI)
Background/Objectives: An objective of this study is to analyze the size of bore on signal to noise ratio in magnetic resonance imaging. Methods/Statistical Analysis: During this process, the magnetic field also shows irregularity due to the environmental factors.
Dong-Hee Hong +3 more
openaire +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique
We present an automatic signal modulation classification model using combinatorial deep learning technique. Our proposed deep learning model increase accuracy for low Signal-to-Noise Ratio (SNR) and maintain a high classification accuracy for high SNR ...
Ziad Elkhatib +5 more
doaj +1 more source
Audio Hiding based on Wavelet Transform and Linear Predictive Coding
In this work an efficient method for hiding a speech in audio is proposed. The features of secret speech is extracted with LPC (Linear Predictive Coding), and these parameters embedded in audio in chaotic order.
Jamal Hasoon, Saad Al-Saad
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Moderate but not high noise during training is associated with stronger generalization to quiet [PDF]
Speech learning often occurs under adverse acoustic conditions, yet learned representations are later accessed in quiet. This study asked whether word learning acquired under background noise generalizes to quiet listening and whether generalization ...
Akshay R. Maggu, Carly Furlong
doaj +1 more source
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
Noise Modeling of the Overhauser Magnetometer
The Overhauser magnetometer (OVM) is an electron resonance-enhanced nuclear magnetic resonance (NMR) magnetometer, which significantly enhances the Larmor signal, hence the signal-to-noise ratio (SNR) and sensitivity compared to traditional proton ...
Xiaorong Gong +2 more
doaj +1 more source
Stochastic Resonance in a Multistable System Driven by Gaussian Noise
Stochastic resonance (SR) is investigated in a multistable system driven by Gaussian white noise. Using adiabatic elimination theory and three-state theory, the signal-to-noise ratio (SNR) is derived.
Peiming Shi +3 more
doaj +1 more source

