Results 41 to 50 of about 145,710 (264)

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

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

open access: yesAdvanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho   +9 more
wiley   +1 more source

New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods.

open access: yesPLoS ONE
This research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong   +1 more
doaj   +1 more source

Sutte Indicator: an approach to predict the direction of stock market movements [PDF]

open access: yes, 2018
The purpose of this research is to apply technical analysis of Sutte Indicator in stock trading which will assist in the investment decision making process i.e. buying or selling shares. This research takes data of "A" on the Indonesia Stock Exchange(IDX
Ahmar, Ansari Saleh
core   +2 more sources

Structural Color Inkjet Printing With Mie‐Resonant Silicon Nanoparticles

open access: yesAdvanced Materials, EarlyView.
Water‐based inks incorporating Mie‐resonant silicon nanoparticles were developed, and their application to structural color inkjet printing was demonstrated. By controlling the nanoparticle size and concentration, coloration covering a wide color gamut was achieved.
Hiroto Yamana   +3 more
wiley   +1 more source

Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

open access: yesPLoS ONE
Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively.
Mohamed Irhuma   +3 more
doaj   +1 more source

Modern techniques in variance estimation with auxiliary information: a logarithmic perspective

open access: yesArab Journal of Basic and Applied Sciences
Variance estimation is essential to statistical analysis because it sheds light on the accuracy and dependability of estimations. The effectiveness of traditional methods is frequently increased by using linear connections between the study and auxiliary
Poonam Singh   +3 more
doaj   +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

Transceiver design for non-regenerative MIMO relay systems with decision feedback detection [PDF]

open access: yes, 2010
In this paper we consider the design of zero forcing (ZF) and minimum mean square error (MMSE) transceivers for non-regenerative multiple input multiple output (MIMO) relay networks.
Millar, Andrew Paul, Weiss, Stephan
core  

Characterization of a qubit Hamiltonian using adaptive measurements in a fixed basis [PDF]

open access: yes, 2011
We investigate schemes for Hamiltonian parameter estimation of a two-level system using repeated measurements in a fixed basis. The simplest (Fourier based) schemes yield an estimate with a mean square error (MSE) that decreases at best as a power law ~N^
Alexandr Sergeevich   +6 more
core   +2 more sources

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