Results 51 to 60 of about 5,787,304 (258)

Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean [PDF]

open access: yesNeutrosophic Sets and Systems
This paper proposes a neutrosophic exponential-type estimator for finite population mean estimation using auxiliary variables. Traditional statistical estimators often fall short when handling vague or uncertain data.
Anisha Taneja   +2 more
doaj   +1 more source

Cell model parameter identification algorithm (MSE: mean square error, GA: genetic algorithm).

open access: yes, 2015
Cell model parameter identification algorithm (MSE: mean square error, GA: genetic algorithm).
Samaneh Khakshour (732999)   +3 more
core   +1 more source

Root-Mean-Square-Error (RMSE) of registration.

open access: yes, 2022
RMSE of the point cloud registration, Eq (1), averaged over 10 different time frames and for all possible slab locations as functions of slab thickness for 1mm and 2.5mm slice thicknesses of moving slabs of scaphoid, capitate, and lunate.
Kevin M. Koch (10210935)   +4 more
core   +1 more source

Dielectric Permittivity Tensor of Muscovite for Next Generation All Van Der Waals Broadband Photonic Components

open access: yesAdvanced Optical Materials, EarlyView.
Low‐index and low‐loss vdW muscovite represents an emerging robust dielectric platform for the creation of next‐generation all‐vdW nanophotonic architectures. Its utilization as a low‐index building‐block in all‐vdW multilayers enables extreme optical contrast when paired with MoS2, paving the way to the realization of few‐layer ultrathin DBS ...
Meri H. Hayrapetyan   +10 more
wiley   +1 more source

Representative Points of Mixed Two-dimensional Normal Distribution

open access: yes四川大学学报. 自然科学版, 2016
In this paper, some algorithms for searching representative points (RPs) of two-dimensional mixed normal distribution are given. Some theoretical properties are also given. The performance of three different types of RPs respectively based on Monte Carlo
WU Li-Hua, YE Yang
doaj  

Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.

open access: yes, 2016
Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.
Firdaus Afifi (3112299)   +3 more
core   +1 more source

Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network

open access: yesAdvanced Optical Materials, EarlyView.
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen   +5 more
wiley   +1 more source

Model Evaluation for Forecasting Traffic Accident Severity in Rainy Seasons Using Machine Learning Algorithms: Seoul City Study

open access: yesApplied Sciences, 2019
There have been numerous studies on traffic accidents and their severity, particularly in relation to weather conditions and road geometry. In these studies, traditional statistical methods have been employed, such as linear regression, logistic ...
Jonghak Lee   +3 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi   +2 more
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

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