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Estimations of level density parameters by using artificial neural network for phenomenological level density models
(Applied Radiation and Isotopes, 2021)
The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ...
Chemogenomics and orthology‐based design of antibiotic combination therapies
(Molecular Systems Biology, 2016)
Combination antibiotic therapies are being increasingly used in
the clinic to enhance potency and counter drug resistance.
However, the large search space of candidate drugs and dosage
regimes makes the identification ...
Effects of deuteron optical models on the cross-section calculations of deuteron induced reactions on natural germanium
(Applied Radiation and Isotopes, 2021)
A common feature of scientific studies is that when experimental observation data are not available, theoretical calculations are used to obtain information about the subject under investigation. In this context, many ...
Approach for siting a support facility for transporting supplies in emergency cases in the Republic of Bulgaria
(MATEC Web of Conferences, 2018)
In this paper, the author determines the most suitable transportation location for intervention in a large scale disaster in the Republic of Bulgaria, by means of the Weber Problem and the Weiszfeld method. The objective ...
Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
(Nucleic Acids Research, 2016)
Recent studies show that RNA-binding proteins (RBPs) and microRNAs (miRNAs) function in coordination with each other to control post-transcriptional regulation (PTR). Despite this, the majority of research to date has ...
Estimations of giant dipole resonance parameters using artificial neural network
(Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...
Relationship between paternalistic leadership and organizational commitment in hospitality industry: case of Antalya, Turkey
(Academic Journal of Interdisciplinary Studies, 2018)
The purpose of this study is to examine the relationship between paternalistic leadership and organizational commitment in hotel enterprises. For this purpose, the data obtained from 243 employees at randomly selected hotel ...
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
(Journal of Cleaner Production, 2020)
The growing concern about global climate change and its adverse impacts on societies is putting severe pressure on the construction industry as one of the largest producers of greenhouse gases. Given the environmental ...
Conflict management styles of professional tour guides: a cluster analysis
(Tourism Management Perspectives, 2019)
Professional tour guides play an important role in tourist satisfaction and the business success of tour agencies/operators, since they are directly in contact with tourists and are responsible for managing the tours. ...
Intelligent tutoring systems and learning performance: applying task-technology fit and IS success model
(Online Information Review, 2019)
Purpose
Intelligent tutoring systems (ITS) are a supplemental educational tool that offers great benefits to students and teachers. The systems are designed to focus on an individual’s characteristics, needs and preferences ...
