نتایج جستجو برای: mean absolute error mae

تعداد نتایج: 866105  

Journal: :Expert Systems With Applications 2022

This paper presents a Convolutional Neural Network (CNN) approach for counting and locating objects in high-density imagery. To the best of our knowledge, this is first object method based on feature map enhancement Multi-Stage Refinement confidence map. The proposed was evaluated two datasets: tree car. For dataset, returned mean absolute error (MAE) 2.05, root-mean-squared (RMSE) 2.87 coeffic...

2010
S. TIAN M. A. YOUSSEF

This study evaluated the performance of the newly developed forestry version of DRAINMOD-NII model using a long term (21-year) data set collected from an artificially drained loblolly pine (Pinus taeda L.) plantation in eastern North Carolina, U.S.A. The model simulates the main hydrological and biogeochemical processes in drained forested lands. The model was calibrated using observed data dur...

2017
R. S. Patel J. A. Weibel S V. Garimella Ravi S. Patel Justin A. Weibel Suresh V. Garimella

An experimental investigation is conducted to examine the effects of operating conditions and channel size on the liquid film thickness of vapor bubbles in adiabatic air-water flows within the slug flow regime. Acrylic test sections are fabricated to contain a single microchannel of square cross-section with hydraulic diameters of 510 μm and 1020 μm. High-speed visualizations are used to map th...

Journal: :journal of agricultural science and technology 2012
l. momenzadeh a. zomorodian d. mowla

drying characteristics of green pea (pisum satium) with an initial moisture content of 76% (db) was studied in a fluidized bed dryer assisted by microwave heating. four drying air temperatures (30, 40, 50 and 60ºc) and five microwave powers (180, 360, 540, 720 and 900w) were adopted. several experiments were conducted to obtain data for sample moisture content versus drying time. the results sh...

ژورنال: سلامت و محیط زیست 2013
امیر مرادی, کیمیا, بانژاد, حسین, علیائی, احسان, کمالی, مهسا,

Background and Objectives: Rivers are the most important resources supplying drinking, agricultural, and industrial water demand. Their quality fluctuates frequently due to crossing from different regions and beds as well as their direct relationship with their peripheral environments. Thus, it is essential to be considered the surveying and predicating changes in the water qualitative paramete...

Journal: :Critical care medicine 2009
Wayne Wakeland Rachel Agbeko Kevin Vinecore Mark Peters Brahm Goldstein

OBJECTIVE Traumatic brain injury (TBI) frequently results in poor outcome, suggesting that new approaches are needed. We hypothesized that a patient-specific in silico computer model of intracranial pressure (ICP) dynamics may predict the ICP response to therapy. DESIGN In silico model analysis of prospectively collected data. SETTING Twenty-three and 16-bed pediatric intensive care units i...

ژورنال: علوم آب و خاک 2019

A labyrinth weir is a nonlinear weir folded in the plan-view which increases the crest length and the flow rate for a given channel width and an upstream flow depth. Nowadays, a labyrinth weir is an attractive alternative for those weirs that have a problem in passing the probable maximum flood. The three-dimensional flow pattern and unlimited geometric parameters provide a major challenge to t...

2016
Onur Genc Ozgur Kisi Mehmet Ardiclioglu

In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) were used to estimate shear stress distribution in streams. The methods were applied to the 145 field data gauged from four different sites on the Sarimsakli and Sosun streams in Turkey. The accuracy of the applied models was compared with the multiple-linear regression (MLR). The results showed t...

2017
Jabar H. Yousif Hussein A. Kazem John Boland Francesco Calise

The process of finding a correct forecast equation for photovoltaic electricity production from renewable sources is an important matter, since knowing the factors affecting the increase in the proportion of renewable energy production and reducing the cost of the product has economic and scientific benefits. This paper proposes a mathematical model for forecasting energy production in photovol...

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