Results 91 to 100 of about 51,131 (309)
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Bayesian bandwidth estimation and semi-metric selection for a functional partial linear model with unknown error density. [PDF]
Shang HL.
europepmc +1 more source
A Two-Stage Plug-In Bandwidth Selection and Its Implementation in Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation [PDF]
The performance of a kernel HAC estimator depends on the accuracy of the estimation of the normalized curvature, an unknown quantity in the optimal bandwidth represented as the spectral density and its derivative.
Hirukawa Masayuki
core
Locally Adaptive Function Estimation for Binary Regression Models [PDF]
In this paper we present a nonparametric Bayesian approach for fitting unsmooth or highly oscillating functions in regression models with binary responses. The approach extends previous work by Lang et al. (2002) for Gaussian responses.
Jerak, A. +3 more
core +1 more source
One‐dimensional C4N2H14PbBr4 is shown to have a quasi‐direct electronic band structure and strongly anisotropic transport with polarized broadband emission. A GW/Bethe–Salpeter excited‐state force formalism, supported by polarized Raman and temperature‐dependent photoluminescence, identifies low–frequency Pb–Br phonons that drive ultrafast exciton self‐
Rijan Karkee +7 more
wiley +1 more source
A Bayesian approach to parameter estimation for kernel density estimation via transformations [PDF]
In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations.
David Pitt +3 more
core
A MEMS‐integrated metamaterial filter enables continuous, low‐voltage spectral tuning in the long‐wavelength infrared (LWIR). The device employs extraordinary optical transmission in a dual suspended metasurface stack, where electrostatic actuation precisely controls the intermembrane air gap.
Oleg Bannik +6 more
wiley +1 more source
Estimating Bandwidth and Analyzing Worst-Case Delay Bounds Using Network Calculus
This paper proposes a bandwidth estimation framework for Network-on-Chip systems using network calculus, addressing the challenges due to nonlinear behavior and dynamic traffic.
Md Amirul Islam, Giovanni Stea
doaj +1 more source
Review of bandwidth estimation tools and application to bandwidth adaptive video streaming
Streaming video is very popular in today's best effort delivery networks. Streaming video applications should not only have a good end-to-end transport performance but also have a Quality of Service (QoS) provisioning in network infrastructure. Bandwidth estimation schemes have been used to improve the QoS of multimedia services and video streaming ...
Arsan, Taner, Arsan, Taner
openaire +2 more sources

