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Artificial Neural Network Modeling and Simulation of In-Vitro Nanoparticle-Cell Interactions
(AMER SCIENTIFIC PUBLISHERS, 26650 THE OLD RD, STE 208, VALENCIA, CA 91381-0751 USA, 2014)
In this research a prediction model for the cellular uptake efficiency of nanoparticles (NPs), which is the rate that NPs adhere to a cell surface or enter a cell, is investigated via an artificial neural network (ANN) ...
Risk based facility location by using fault tree analysis in disaster management
(PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2015)
Determining the locations of facilities for prepositioning supplies to be used during a disaster is a strategic decision that directly affects the success of disaster response operations. Locating such facilities close to ...
Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models
(Sakarya University, 2022)
Load forecasting is an essential task which is executed by electricity retail companies. By
predicting the demand accurately, companies can prevent waste of resources and blackouts.
Load forecasting directly affect the ...
Movie Recommendation Systems Based on Collaborative Filtering: A Case Study on Netflix
(Erciyes Üniversitesi, 2021)
User ratings on items like movies, songs, and shopping products are used
by Recommendation Systems (RS) to predict user preferences for items that have
not been rated. RS has been utilized to give suggestions to users ...
Computation of polarized metrized graph invariants by using discrete laplacian matrix
(American Mathematical Society, 2015)
Several invariants of polarized metrized graphs and their applications in Arithmetic Geometry have been studied recently. In this paper, we give fast algorithms to compute these invariants by expressing them in terms of ...
Admissible invariants of genus 3 curves
(Springer New York LLC, 2015)
Several invariants of polarized metrized graphs and their applications in Arithmetic Geometry are studied recently. In this paper, we explicitly calculated these admissible invariants for all curves of genus 3. We find the ...
Dynamic rolling horizon control approach for a university campus
(Elsevier Ltd, 2022)
An energy management system based on the rolling horizon control approach has been proposed for the grid-connected
dynamic and stochastic microgrid of a university campus in Malta. The aims of the study are to minimize ...
A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge
(SPRINGER, 2022)
In this study, we propose an effective integration of multi criteria decision making methods
and Bayesian networks (BN) that incorporates expert knowledge. The novelty of this approach
is that it provides decision support ...
Optimal location determination of electric vehicle charging stations: A case study on Turkey's most preferred highway
(Bitlis Eren Üniversitesi, 2022)
Today, electric vehicles are seen as one of the most suitable and environmentally
friendly alternatives to internal combustion engine vehicles. An important issue
related to the dissemination of electric vehicles is the ...
Sezgisel Algoritmaları Kullanarak Raf Optimizasyonu Çalışması ve Bir Yazılım Uygulaması
(Osman Sağdıç, 2019)
Otomobil montajının çok sayıda parçadan oluşması, sürekli değişen tüketici talebinden dolayı ürün çeşitliliğine gidilmesi ve fabrikayerleşkesinin belirli bir limitinin olması sebebiyle; raf alanı bir otomotiv fabrikasının ...