Results 41 to 50 of about 4,734,756 (288)

پیش‌بینی ضریب پخش رطوبت موثر و انرژی مصرفی ویژه بادمجان در خشک‌کن پیوسته با استفاده از روش‌های جدید [PDF]

open access: yesمجله پژوهش‌های علوم و صنایع غذایی ایران, 2018
در این پژوهش، به‌منظور برآورد خواص خشک‌کردن بادمجان در یک خشک‌کن پیوسته از روش شبکه‌های عصبی مصنوعی (ANN)، الگوریتم بهینه‌سازی توده ذرات (PSO) و الگوریتم گرگ خاکستری (GWO) استفاده شد.
محمد کاوه   +3 more
doaj   +1 more source

ANN-based energy reconstruction procedure for TACTIC gamma-ray telescope and its comparison with other conventional methods

open access: yes, 2009
The energy estimation procedures employed by different groups, for determining the energy of the primary $\gamma$-ray using a single atmospheric Cherenkov imaging telescope, include methods like polynomial fitting in SIZE and DISTANCE, general least ...
A.K. Tickoo   +50 more
core   +1 more source

Feasibility of using neural networks to obtain simplified capacity curves for seismic assessment [PDF]

open access: yes, 2018
The selection of a given method for the seismic vulnerability assessment of buildings is mostly dependent on the scale of the analysis. Results obtained in large-scale studies are usually less accurate than the ones obtained in small-scale studies.
Calvi, Estêvão, Waszczyszyn
core   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

Predicting Mechanical Strength and Optimized Parameters in FDM-Printed Polylactic Acid Parts Via Artificial Neural Networks and Desirability Analysis

open access: yesManagement Systems in Production Engineering
Fused deposition modeling (FDM) is a commonly used additive manufacturing (AM) technique in both domestic and industrial end-product fabrications.
Abdulridha Hind H.   +2 more
doaj   +1 more source

Modelling of methanol synthesis in a network of forced unsteady-state ring reactors by artificial neural networks for control purposes [PDF]

open access: yes, 2004
A numerical model based on artificial neural networks (ANN) was developed to simulate the dynamic behaviour of a three reactors network (or ring reactor), with periodic change of the feed position, when low-pressure methanol synthesis is carried out.
Antonello A. Barresi   +20 more
core   +1 more source

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee   +9 more
wiley   +1 more source

The effect of data preprocessing on the performance of artificial neural networks techniques for classification problems [PDF]

open access: yes, 2012
The artificial neural network (ANN) has recently been applied in many areas, such as medical, biology, financial, economy, engineering and so on. It is known as an excellent classifier of nonlinear input and output numerical data.
Atomi, Walid Hasen
core  

Some new classes of topological spaces and annihilator ideals

open access: yes, 2014
By a characterization of semiprime $SA$-rings by Birkenmeier, Ghirati and Taherifar in \cite[Theorem 4.4]{B}, and by the topological characterization of $C(X)$ as a Baer-ring by Stone and Nakano in \cite[Theorem 3.25]{KM}, it is easy to see that $C(X ...
Taherifar, A.
core   +1 more source

Nonparametric inference in generalized functional linear models [PDF]

open access: yes, 2015
We propose a roughness regularization approach in making nonparametric inference for generalized functional linear models. In a reproducing kernel Hilbert space framework, we construct asymptotically valid confidence intervals for regression mean ...
Cheng, Guang, Shang, Zuofeng
core   +1 more source

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