Results 71 to 80 of about 874,374 (290)

Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution

open access: yesمجلة بغداد للعلوم, 2014
In this paper ,the problem of point estimation for the two parameters of logistic distribution has been investigated using simulation technique. The rank sampling set estimator method which is one of the Non_Baysian procedure and Lindley approximation ...
Baghdad Science Journal
doaj   +1 more source

Retractions in rheumatology: trends, causes, and implications for research integrity

open access: yesArthritis Care &Research, Accepted Article.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Symphysis-Fundal height measurements in estimating birth-Weight

open access: yesInternational Journal of Medicine and Health Development, 2001
Objective: To describe the derivation, accuracy, and limitations of a new formula for estimating birth-weight using symphysiofundal height measurement in centimetres. Methods: The derivation of the formula was described.
H E Onah, P O Nkwo
doaj  

Long-Term Load Forecasting Considering Volatility Using Multiplicative Error Model

open access: yes, 2018
Long-term load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment in the construction of excess power ...
Khuntia, Swasti R.   +2 more
core   +1 more source

An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates

open access: yesAdvanced Engineering Materials, EarlyView.
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam   +6 more
wiley   +1 more source

Deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network for short-term wind power prediction

open access: yesSystems Science & Control Engineering
The dependence of wind power on the natural environment leads to volatility, which can cause hidden dangers to the safe and stable operation of the power grid.
Pingping Xie   +5 more
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Forecasting telecommunications data with linear models [PDF]

open access: yes
For telecommunication companies to successfully manage their business, companies rely on mapping future trends and usage patterns. However, the evolution of telecommunications technology and systems in the provision of services renders imperfections in ...
Madden, Gary G, Tan, Joachim
core   +1 more source

Engineering Deformation and Failure in Diamond Triply Periodic Minimal Surface Lattices via 3D Wall‐Thickness Grading

open access: yesAdvanced Engineering Materials, EarlyView.
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza   +3 more
wiley   +1 more source

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